Patent Application
20240225520
The present disclosure relates generally to using a multiplexed amplifier in conjunction with analog front-end (AFE) circuits for use in at least partially processing biopotential signals, including neuromuscular signals such as electromyography (EMG) signals as one example. More specifically, the present disclosure describes techniques for utilizing a multiplexed amplifier (e.g., a single multiplexed amplifier used for processing amplified analog signals from a number of different AFEs) to improve power consumption of AFE circuit designs (and wearable devices incorporating the AFE circuit designs) that are being used to at least partially process biopotential signals.
Some signal-processing circuits used in biosensing applications (such as AFE circuits used in EMG-sensing applications) consume significant amounts of power. This can be due in part to the amplification necessary for processing analog biopotential signals to produce usable digital signals for further processing and analysis (e.g., for gesture detection purposes). Amplification can require multi-stage amplifiers, multiple amplifiers operating in parallel, or both, which can exacerbate the power-consumption issues, particularly for small wearable devices that already have limited power supplies, and particularly when multiple-stage amplification occurs at each individual AFE. There is a need to address one or more of the above-identified challenges.
A brief summary of example solutions to the issues noted above is described below. Examples of improved AFE circuits for biosensing applications are described herein, which serve to mitigate the AFE power-consumption issues described above. The present disclosure discusses, inter alia, incorporating a multiplexer (also referred to herein as a “mux,” e.g., as in “mux-switch period”) into an AFE circuit to reduce the need for multiple downstream amplifiers (in particular, reducing from having multiple stage-two amplifiers to having only a single stage-two amplifier for a particular wearable device).
For example, one embodiment includes a multiplexer that is configured to funnel respective outputs of multiple stage-one amplifiers into a single stage-two amplifier, thus removing a need for multiple stage-two amplifiers (thus a wearable device used for a biosensing application, such as for sensing neuromuscular signals to detect in-air hand gestures, can include just a single stage-two amplifier used with all of the AFEs on the wearable device). Use of such a multiplexer in this fashion can reduce power consumption by between 25%-45% as compared designs utilizing multiple stage-two amplifiers.
Additionally, by developing a lower-power-consumption AFE design (and lower-power-consumption wearable device as a whole), additional user-friendly features such as wake gestures and instant actions (e.g., wake gestures can be in-air hand gestures in which a user uses a digit on their hand to make contact with a thumb while a device is in a sleep or low-power mode to then wake up that device; and instant actions can be a related gesture paradigm in which an in-air hand gesture is detected and causes performance of an associated action even regardless of a current state of the device, such that the associated action can be instantly performed on demand and without needing a specific device context beforehand) can be accomplished without overly taxing the limited power supply of an electronic device, particularly electronic devices with smaller-capacity power sources such as those found on wrist-wearable devices like smartwatches. Additional embodiments are described in the clauses below, beginning with clause (A1).
An example AFE circuit is described herein. The AFE circuit includes a plurality of sensor-amplifier-filter (SAF) assemblies, a multiplexer coupled to an output of each of the plurality of SAF assemblies, a stage-two amplifier coupled to the multiplexer, and an analog-to-digital converter (ADC) coupled to the stage-two amplifier. Each of the SAF assemblies includes (i) a neuromuscular-signal sensor configured to detect a neuromuscular signal, (ii) a stage-one amplifier configured to amplify the neuromuscular signal from the neuromuscular-signal sensor into a stage-one signal, and (iii) a passive filter configured to filter the stage-one signal from the stage-one amplifier into a filtered signal. The multiplexer of the AFE circuit is configured to receive a select signal, as well as a plurality of filtered signals from the plurality of SAF assemblies. The multiplexer is also configured to output a first filtered signal of the plurality of received filtered signals as a multiplexed signal while the select signal has a first value, and output a second filtered signal of the plurality of received filtered signals as the multiplexed signal while the select signal has a second value. The stage-two amplifier is configured to amplify the multiplexed signal from the multiplexer into an analog, stage-two signal. Lastly, the ADC is configured to convert the stage-two signal from the stage-two amplifier into a digital signal.
The features and advantages described in the specification are not necessarily all inclusive and, in particular, certain additional features and advantages will be apparent to one of ordinary skill in the art in view of the drawings, specification, and claims. Moreover, it should be noted that the language used in the specification has been principally selected for readability and instructional purposes.
Having summarized the above example aspects, a brief description of the drawings will now be presented.
For a better understanding of the various described embodiments, reference should be made to the Detailed Description below, in conjunction with the following drawings in which like reference numerals refer to corresponding parts throughout the figures.
In accordance with common practice, the various features illustrated in the drawings may not be drawn to scale. Accordingly, the dimensions of the various features may be arbitrarily expanded or reduced for clarity. In addition, some of the drawings may not depict all of the components of a given system, method, or device. Finally, like reference numerals may be used to denote like features throughout the specification and figures.
Numerous details are described herein to provide a thorough understanding of the example embodiments illustrated in the accompanying drawings. However, some embodiments may be practiced without many of the specific details, and the scope of the claims is only limited by those features and aspects specifically recited in the claims. Furthermore, well-known processes, components, and materials have not necessarily been described in exhaustive detail so as to avoid obscuring pertinent aspects of the embodiments described herein.
Embodiments of this disclosure can include or be implemented in conjunction with various types or embodiments of AR systems. AR, as described herein, is any superimposed functionality and or sensory-detectable presentation provided by an AR system within a user's physical surroundings. Such ARs can include and/or represent virtual reality (VR), augmented reality, mixed-artificial-reality (MAR), or some combination and/or variation of one of these. For example, a user can perform a swiping in-air hand gesture to cause a song to be skipped by a song-providing API providing playback at, for example, a home speaker. An AR environment, as described herein, includes, but is not limited to, VR environments (including non-immersive, semi-immersive, and fully immersive VR environments); augmented-reality environments (including marker-based augmented-reality environments, markerless augmented-reality environments, location-based augmented-reality environments, and projection-based augmented-reality environments); hybrid reality; and other types of mixed reality environments.
AR content can include completely generated content or generated content combined with captured (e.g., real world) content. The AR content can include video, audio, haptic events, or some combination thereof, any of which can be presented in a single channel or in multiple channels (such as stereo video that produces a three-dimensional (3D) effect to a viewer). Additionally, in some embodiments, AR can also be associated with applications, products, accessories, services, or some combination thereof, which are used, for example, to create content in an AR and/or are otherwise used in (e.g., to perform activities in) an AR.
A hand gesture, as described herein, can include an in-air gesture, a surface-contact gesture, and or other gestures that can be detected and determined based on movements of a single hand (e.g., a one-handed gesture performed with a user's hand that is detected by one or more sensors of a wearable device (e.g., EMG and/or inertial measurement units (IMU)s of a wrist-wearable device) and/or detected via image data captured by an imaging device of a wearable device (e.g., a camera of a head-wearable device)) or a combination of the user's hands. In-air means, in some embodiments, that the user's hand does not contact a surface, object, or portion of an electronic device (e.g., a head-wearable device or other communicatively coupled device, such as the wrist-wearable device); in other words the gesture is performed in open air in 3D space and without contacting a surface, an object, or an electronic device. Surface-contact gestures (contacts at a surface, object, body part of the user, or electronic device) more generally are also contemplated in which a contact (or an intention to contact) is detected at a surface (e.g., a single or double finger tap on a table, on a user's hand or another finger, on the user's leg, a couch, and/or a steering wheel). The different hand gestures disclosed herein can be detected using image data and/or sensor data (e.g., neuromuscular signals sensed by one or more biopotential sensors (e.g., EMG sensors) or other types of data from other sensors, such as proximity sensors, time-of-flight (ToF) sensors, and/or sensors of an IMU) detected by a wearable device worn by the user and/or other electronic devices in the user's possession (e.g., smartphones, laptops, imaging devices, intermediary devices, and/or other devices described herein).
The following figures offer examples of AFE circuits for capturing signals (e.g., EMG signals, neuromuscular signals, and/or biological signals) from a user. For example, in an AR system (e.g., AR device 700), captured signals can be used to determine the posture or position of the user, in-air hand gestures in which one of the user's digits makes contact with a user's thumb on the same hand on which a wrist-wearable device is worn (such a wrist-wearable device would include the neuromuscular-signal sensors described herein), control a user interface, or otherwise improve the overall user experience. The AFE circuits described below include circuits designed to reduce overall power consumption (see
In addition to the aforementioned sensors 111-114 (e.g., which can be referred to as neuromuscular-signal sensors, EMG sensors, biological sensors, biopotential sensors), multiplexer 152, and ADC 164, the AFE circuit 100 also includes stage-one amplifiers 121-124, filters 131-134 (e.g., low-pass filters, band-pass filters, high-pass filters), and a stage-two amplifier 162. The inclusion of the single stage-two amplifier 162 allows for potential power savings as compared to AFE circuits that include one stage-two amplifier per sensor. For example, a variant of the AFE circuit 100 could include a total of four stage-two amplifiers—one for each of the sensors 111-114 (e.g., prior to the multiplexer 152 or in tandem with four ADCs and in lieu of the multiplexer 152). This is discussed in more detail below with respect to
Each SAF trio forms an “SAF assembly,” and the amplifier-ADC pair forms an “AA assembly.” While the illustrated AFE circuit 100 includes four SAF assemblies, in some embodiments, the AFE circuit 100 includes other numbers of SAF assemblies. For example, an AFE circuit can include eight SAF assemblies (e.g., with an eight-to-one multiplexer, or with two four-to-one multiplexers and respective AA assemblies for each four-to-one multiplexer). In some embodiments, each of the sensors is paired with another sensor to form a differential sensing channel, and the number of SAF assemblies in these embodiments can be equal to the total number of sensing channels.
As used herein, “SAF assembly” is shorthand for a sensor, a stage-one amplifier, and a filter connected together in series. For example, SAF assembly 101 includes sensor 111, stage-one amplifier 121, and filter 131. In some embodiments, the sensors 111-114 of the AFE circuit 100 are configured to capture a neuromuscular signal, an EMG signal, or a biological signal from a user (e.g., user 6015 of
Moreover, as used herein, “AA assembly” refers to a stage-two amplifier and an ADC connected together in series. For example, AA assembly 160 includes stage-two amplifier 162 and ADC 164. In some embodiments, the stage-two amplifier 162 is configured to receive and amplify a signal from the multiplexer 152. Further, in some embodiments, the ADC 164 is configured to receive and convert the amplified signal from the stage-two amplifier 162 from an analog signal into a digital signal. Additionally, in some embodiments, the ADC 164 is configured to provide the converted signal to another device (e.g., wrist-wearable device 194), as discussed in more detail below. While not shown in
Each of the SAF assemblies 101-104 is connected to the multiplexer 152 such that the output of each SAF assembly (e.g., the output of each of the filters 131-134) is an input to the multiplexer 152. In some embodiments, the multiplexer 152 is configured to output a signal from one of the SAF assemblies 101-104 based on a control signal 154 received at the multiplexer 152. For example, the multiplexer 152 can be configured to output the signal from SAF assembly 101 while the control signal 154 is equal to a first signal (e.g., 0b00). This functionality is illustrated in
Referring back to multiplexer 152, the multiplexer 152 can be configured to output a respective signal from one of SAF assemblies 102-104 while the control signal 154 is equal, respectively, to a second signal (e.g., 0b01), a third signal (e.g., 0b10), or a fourth signal (e.g., 0b11). Each of these respective scenarios is illustrated in
Furthermore, in some embodiments, the multiplexer 152 can be configured to switch its output (e.g., switch from outputting a signal to outputting another signal) according to a regular timetable (see, e.g., timing diagram 300). For example, the multiplexer 152 may (i) output a signal from SAF assembly 101 during a first time period, (ii) output a signal from SAF assembly 102 during a second time period that is immediately subsequent to the first time period, (iii) output a signal from SAF assembly 103 during a third time period that is immediately subsequent to the second time period, (iv) output a signal from SAF assembly 104 during a fourth time period that is immediately subsequent to the third time period, and (v) repeat the cycle (e.g., by outputting a signal from SAF assembly 105 during a fifth time period that is immediately subsequent to the fourth time period).
This functionality is indicated by timing indicator 192. The timing indicator 192 includes one shaded quadrant 193 and three non-shaded quadrants, with the shaded quadrant 193 indicating a current time period (e.g., 0-62.5 μs, 62.5-125 μs). Accordingly, the timing indicator 192 suggests that, in
As implied by the timing indicator 192, the time periods associated with the respective SAF assemblies may be of equal length. However, in some embodiments, the time periods are of different lengths. For example, if the data from SAF assembly 101 takes longer to convert into a digital signal (e.g., via ADC 164), then the time period associated with SAF assembly 101 may be relatively longer to account for the additional conversion time. As another example, if the data captured by sensor 114 requires less amplification (e.g., at stage-one amplifier 124) than data captured by sensors 111-113, then the time period associated with SAF assembly 104 may be relatively shorter.
In addition to the timing indicator 192, wrist-wearable device 194 further illustrates the potential functionality of AFE circuit 100. For example, as illustrated in
As discussed in more detail below with respect to
In some embodiments, gesture recognition may require signals from multiple of the sensors 111-114. For example, determining the posture of a user's hand may require signals from all of the sensors 111-114. In some embodiments, wrist-wearable device 194 may not be able to recognize a gesture (e.g., indicating a posture of the user's hand) performed by the user until signals from each of the sensors 111-114 are received at the wrist-wearable device 194 (e.g., after amplification, filtering, and/or digital conversion). This is illustrated in
In
During the fourth time period (see
While the examples of
The AFE circuit 250 of
Unlike the AFE circuit 100 of
Accordingly, the control signal 154 increments once every mux-switch period 304. For example, the control signal begins at a value of 0b00 (i.e., 0). After a mux-switch period 304, the control signal 154 increments to 0b01 (i.e., 1). After another mux-switch period 304, the control signal 154 increments to 0b10 (i.e., 2). After yet another mux-switch period 304, the control signal 154 increments to 0b11 (i.e., 3). And, after yet another mux-switch period 304, the control signal resets to 0b00. The control signal 154 then continues to increment once per mux-switch period 304, as illustrated.
The timing diagram 300 also indicates a mux-cycle period 302. As used herein, “mux-cycle period” defines the amount of time required for a multiplexer (e.g., multiplexer 152) to cycle through outputting each of its input signals. Assuming the mux-switch period for each of the input signals is the same, the mux-cycle period is equal to the product of the mux-switch period and the number of input signals to the multiplexer. For example, mux-cycle period 302 is equal to the mux-switch period 304 multiplied by four (i.e., the number of inputs to multiplexer 152).
As discussed above, gesture recognition may require signals from each of the sensors (e.g., sensors 111-114) in an AFE circuit (e.g., AFE circuit 100). Assuming the AFE circuit includes a multiplexer (e.g., multiplexer 152) (e.g., to reduce power consumption, as discussed above), the amount of time for the ADC (e.g., ADC 164) and any downstream devices (e.g., wrist-wearable device 194) to receive signals from each of the sensors is equal to the mux-cycle period.
For example, if the mux-cycle period for the AFE circuit 100 is 500 μs, the delay between a user making a gesture and the wrist-wearable device 194 recognizing the gesture will be approximately 500 μs. Assuming the multiplexer 152 outputs signals from each of the SAF assemblies 101-104 for an equal amount of time, the mux-switch period will be 125 μs (i.e., 500 μs, divided by the number of inputs to the multiplexer 152).
The devices described above are further detailed below, including wrist-wearable devices, headset devices, and systems. It should be understood that the example wrist-wearable devices described below can have the improved AFE circuits described above, as can the example head-wearable devices described below. In some embodiments, just the wrist-wearable device has the improved AFE circuits, but gestures detected at the wrist-wearable device are used to control operations at the head-wearable device, as is described in more detail below. Having power-efficient AFE circuits ensures better user experiences with new device-control paradigms, such as when in-air hand gestures detected via a wrist-wearable device are used to control operations at a head-wearable device.
Specific operations described above may occur as a result of specific hardware, with such hardware described in further detail below. The devices described below are not limiting, and features on these devices can be removed or additional features can be added to these devices.
(A1)
It is noted that, in certain embodiments, the ADC can be associated with a device that is distinct from the electronic device and that can be used to offload certain processing operations for load-balancing (or other) efficiency purposes. The device that is distinct from the electronic device can be an intermediary device (e.g., a handheld electronic device that in some embodiments does not include a screen and is configured to receive and process data from other devices) that is configured to coordinate operations between a wrist-wearable device and a headset (e.g., an AR headset such as an augmented-reality headset or VR headset). It is also noted that while neuromuscular signals are the primary example discussed herein for illustrative purposes, the improved AFE designs are not limited to neuromuscular signals but can also be utilized for other biosensing applications such as for electrocardiographic and electroencephalographic signals.
(A2) In some embodiments of the method of A1, the plurality of SAF assemblies includes eight SAF assemblies and the multiplexer is an eight-to-one multiplexer. In certain embodiments, the number of SAF assemblies corresponds to a number of neuromuscular-signal sensing channels, such that if there are eight sensing channels, then there are also eight SAF assemblies, and, if there are four or six sensing channels, then there would be, respectively, four or six SAF assemblies.
(A3) In some embodiments of any of A1-A2, the neuromuscular-signal sensor is an EMG sensor.
(A4) In some embodiments of any of A1-A3, the multiplexer is associated with a mux-switch period and a mux-cycle period. The mux-cycle period is approximately equal to (e.g., exactly equal or within a tolerance level of 1%-5% of equal) the mux-switch period multiplied by a total number of neuromuscular-signal sensors in the plurality of neuromuscular-signal sensors (in other embodiments, the multiplication factor is based on the number of neuromuscular-signal-sensing channels (which can include pairs of neuromuscular-signal sensors used for differential or other sensing types) and not on the total number of neuromuscular-signal sensors). Additionally, the select signal is approximately equal (e.g., exactly equal or within a tolerance level of 1%-5% of equal) to the respective selection once per mux-cycle period for a duration of the mux-switch period. Further, the ADC is configured to convert each respective stage-two signal into a respective digital signal at an ADC sample period that is approximately equal to (e.g., exactly equal or within a tolerance level of 1%-5% of equal) the mux-switch period.
(A5) In some embodiments of A4, the electronic device further includes a processor that is connected to the ADC. The processor is configured to receive the digital signal from the ADC. The processor is further configured to sample the digital signal at a digital-signal sample frequency that is approximately equal to (e.g., exactly equal or within a tolerance level of 1%-5% of equal) an inverse of the mux-cycle period.
(A6) In some embodiments of A5, the digital-signal sample frequency is approximately 2 kilohertz (e.g., within +/−5% or 10% of 2 kilohertz), and the mux-cycle period is approximately 500 microseconds (e.g., within +/−5% or 10% of 500 microseconds).
(A7) In some embodiments of any of A5-A6, the processor is further configured to interpret one or more respective digital signals from the ADC to determine muscular activity of a user.
(A8) In some embodiments of any of A5-A7, the processor is further configured to interpret one or more respective digital signals from the ADC to determine neurological activity of a user.
(A9) In some embodiments of any of A1-A8, the multiplexer is coupled to the stage-two amplifier reduces power consumption by at least 25% (and, in some embodiments, up to 45%, such that an amount of milliwatts consumed in processing biopotential signals by an AFE is reduced by between 25%-45%) as compared to power consumption if a stage-two amplifier were coupled to each of the SAF assemblies.
(A10) In some embodiments of any of A1-A9, the electronic device is in communication with another electronic device that includes another plurality of SAF assemblies. In this manner, more than one device can be configured to utilize the improved AFE designs discussed herein, and those devices can each thus include respective pluralities of SAF assemblies structured in accordance with claim 1 to make use of a multiplexer and a single stage-two amplifier for each device.
(A11) In some embodiments of A10, the electronic device is a wrist-wearable device and the other electronic device is a headset (e.g., an AR headset such as an augmented-reality or VR headset).
(A12) In some embodiments of any of A1-A11, a respective stage-one amplifier is configured to consume at least 30% less power than the stage-two amplifier (e.g., in other words, the stage-one amplifier is more power efficient than the stage-two amplifier and thus reducing the one of stage-two amplifiers utilized with the electronic device helps to achieve the power-consumption-reduction goals described herein).
(B1) In accordance with some embodiments, an electronic device is configured with the electronic device of any of A1-A12.
(C1) In accordance with some embodiments, a wrist-wearable device is configured in accordance with any of A1-A12.
(D1) In accordance with some embodiments, a system includes an AR headset. The system also includes a wrist-wearable device that is connected to the AR headset and the wrist-wearable device is configured in accordance with the electronic device of any of A1-A12. The system can also include an intermediary device (an example of which was mentioned above) that is configured to coordinate operations between the wrist-wearable device and the AR headset.
(E1) In accordance with some embodiments, a method is provided for assembling an electronic device by providing each respective component of the electronic device described in any one of A1-A12 to produce an assembled electronic device.
(F1) In accordance with some embodiments, an AFE is provided, and the AFE is configured to include at least the stage-one amplifier and the passive filter of A1-A12 and is also configured to be coupled with the multiplexer described above. The AFE can be configured not to include a stage-two amplifier. Instead, the multiplexer and the stage-two amplifier can be associated with a main compute core (of the electronic device or of an intermediary device coordinating operations between more than one device) that is configured to receive analog data from multiple different AFEs to allow for aggregated processing of signals for, e.g., gesture-detection purposes. Various other configurations are also contemplated and described further below.
(G1) In yet a further aspect, a method for operating the electronic device of any of A1-A12 to detect in-air hand gestures based on neuromuscular signals is provided, as well as a non-transitory, computer-readable medium storing instructions for causing the electronic device to perform the method.
The devices described above are further detailed below, including systems, wrist-wearable devices, headset devices, and smart textile-based garments. Specific operations described above may occur as a result of specific hardware, such hardware is described in further detail below. The devices described below are not limiting, and features on these devices can be removed or additional features can be added to these devices. The different devices can include one or more analogous hardware components. For brevity, analogous devices and components are described below. Any differences in the devices and components are described below in their respective sections.
As described herein, a processor (e.g., a CPU or MCU), is an electronic component that is responsible for executing instructions and controlling the operation of an electronic device (e.g., a wrist-wearable device 600, a head-wearable device, an HIPD 800, a smart textile-based garment 900, or other computer system). There are various types of processors that may be used interchangeably or specifically required by embodiments described herein. For example, a processor may be (i) a general processor designed to perform a wide range of tasks, such as running software applications, managing operating systems, and performing arithmetic and logical operations; (ii) a microcontroller designed for specific tasks such as controlling electronic devices, sensors, and motors; (iii) a graphics processing unit (GPU) designed to accelerate the creation and rendering of images, videos, and animations (e.g., VR animations, such as 3D modeling); (iv) a field-programmable gate array (FPGA) that can be programmed and reconfigured after manufacturing and/or customized to perform specific tasks, such as signal processing, cryptography, and machine learning; (v) a digital signal processor (DSP) designed to perform mathematical operations on signals such as audio, video, and radio waves. One of skill in the art will understand that one or more processors of one or more electronic devices may be used in various embodiments described herein.
As described herein, controllers are electronic components that manage and coordinate the operation of other components within an electronic device (e.g., controlling inputs, processing data, and/or generating outputs). Examples of controllers can include (i) microcontrollers, including small, low-power controllers that are commonly used in embedded systems and internet-of-things devices; (ii) programmable logic controllers that may be configured to be used in industrial automation systems to control and monitor manufacturing processes; (iii) system-on-a-chip controllers that integrate multiple components such as processors, memory, I/O interfaces, and other peripherals into a single chip; and/or DSPs. As described herein, a graphics module is a component or software module that is designed to handle graphical operations and/or processes and can include a hardware module and/or a software module.
As described herein, memory refers to electronic components in a computer or electronic device that store data and instructions for the processor to access and manipulate. The devices described herein can include volatile and non-volatile memory. Examples of memory can include (i) random-access memory (RAM), such as DRAM, SRAM, DDR RAM or other random-access, solid-state memory devices configured to store data and instructions temporarily; (ii) read-only memory (ROM) configured to store data and instructions permanently (e.g., one or more portions of system firmware and/or boot loaders); (iii) flash memory, magnetic disk-storage devices, optical disk-storage devices, other non-volatile, solid-state storage devices that can be configured to store data in electronic devices (e.g., universal serial bus (USB) drives, memory cards, and/or solid-state drives); and (iv) cache memory configured to temporarily store frequently accessed data and instructions. Memory, as described herein, can include structured data (e.g., SQL databases, MongoDB databases, GraphQL data, or JSON data). Other examples of memory can include (i) profile data, including user account data, user settings, and/or other user data stored by the user; (ii) sensor data detected and/or otherwise obtained by one or more sensors; (iii) media content data including stored image data, audio data, documents, and the like; (iv) application data, which can include data collected and/or otherwise obtained and stored during use of an application; (v) and/or any other types of data described herein.
As described herein, a power system of an electronic device is configured to convert incoming electrical power into a form that can be used to operate the device. A power system can include various components, including (i) a power source, which can be an alternating current (AC) adapter or a direct current (DC) adapter power supply; (ii) a charger input that can be configured to use a wired and/or wireless connection (which may be part of a peripheral interface, such as a USB, micro-USB interface, near-field magnetic coupling, magnetic inductive and magnetic resonance charging, and/or radio frequency (RF) charging); (iii) a power-management integrated circuit, configured to distribute power to various components of the device and ensure that the device operates within safe limits (e.g., regulating voltage, controlling current flow, and/or managing heat dissipation); and/or (iv) a battery configured to store power to provide usable power to components of one or more electronic devices.
As described herein, peripheral interfaces are electronic components (e.g., of electronic devices) that allow electronic devices to communicate with other devices or peripherals and can provide a means for input and output of data and signals. Examples of peripheral interfaces can include (i) USB and/or micro-USB interfaces configured for connecting devices to an electronic device; (ii) Bluetooth interfaces configured to allow devices to communicate with each other, including Bluetooth low energy (BLE); (iii) near-field communication (NFC) interfaces configured to be short-range wireless interfaces for operations such as access control; (iv) POGO pins, which may be small, spring-loaded pins configured to provide a charging interface; (v) wireless charging interfaces; (vi) global-position system (GPS) interfaces; (vii) Wi-Fi interfaces for providing a connection between a device and a wireless network; and (viii) sensor interfaces.
As described herein, sensors are electronic components (e.g., in and/or otherwise in electronic communication with electronic devices, such as wearable devices) configured to detect physical and environmental changes and generate electrical signals. Examples of sensors can include (i) imaging sensors for collecting imaging data (e.g., including one or more cameras disposed on a respective electronic device); (ii) biopotential-signal sensors; (iii) IMUs for detecting, for example, angular rate, force, magnetic field, and/or changes in acceleration; (iv) heart-rate sensors for measuring a user's heart rate; (v) SpO2 sensors for measuring blood oxygen saturation and/or other biometric data of a user; (vi) capacitive sensors for detecting changes in potential at a portion of a user's body (e.g., a sensor-skin interface) and/or the proximity of other devices or objects; and (vii) light sensors (e.g., ToF sensors, infrared light sensors, or visible light sensors), and/or sensors for sensing data from the user or the user's environment. As described herein biopotential-signal-sensing components are devices used to measure electrical activity within the body (e.g., biopotential-signal sensors). Some types of biopotential-signal sensors include (i) electroencephalography (EEG) sensors configured to measure electrical activity in the brain to diagnose neurological disorders; (ii) electrocardiography (ECG or EKG) sensors configured to measure electrical activity of the heart to diagnose heart problems; (iii) EMG sensors configured to measure the electrical activity of muscles and diagnose neuromuscular disorders; (iv) electrooculography (EOG) sensors configured to measure the electrical activity of eye muscles to detect eye movement and diagnose eye disorders.
As described herein, an application stored in memory of an electronic device (e.g., software) includes instructions stored in the memory. Examples of such applications include (i) games, (ii) word processors, (iii) messaging applications, (iv) media-streaming applications, (v) financial applications, (vi) calendars, (vii) clocks, (viii) web browsers, (ix) social media applications, (x) camera applications, (xi) web-based applications, (xii) health applications, (xiii) AR applications, (xiv) and/or any other applications that can be stored in memory. The applications can operate in conjunction with data and/or one or more components of a device or communicatively coupled devices to perform one or more operations and/or functions.
As described herein, communication interface modules can include hardware and/or software capable of data communications using any of a variety of custom or standard wireless protocols (e.g., IEEE 802.15.4, Wi-Fi, ZigBee, 6LoWPAN, Thread, Z-Wave, Bluetooth Smart, ISA100.11a, WirelessHART, or MiWi), custom or standard wired protocols (e.g., Ethernet or HomePlug), and/or any other suitable communication protocol, including communication protocols not yet developed as of the filing date of this document. A communication interface is a mechanism that enables different systems or devices to exchange information and data with each other, including hardware, software, or a combination of both hardware and software. For example, a communication interface can refer to a physical connector and/or port on a device that enables communication with other devices (e.g., USB, Ethernet, HDMI, or Bluetooth). In some embodiments, a communication interface can refer to a software layer that enables different software programs to communicate with each other (e.g., application programming interfaces (APIs) and protocols such as HTTP and TCP/IP).
As described herein, a graphics module is a component or software module that is designed to handle graphical operations and/or processes, and the graphics module can include a hardware module and/or a software module.
As described herein, non-transitory computer-readable storage media are physical devices or storage medium that can be used to store electronic data in a non-transitory form (e.g., such that the data is stored permanently until it is intentionally deleted or modified).
The wrist-wearable device 600 and its constituent components are described below in reference to
Turning to
The user 502 can use any of the wrist-wearable device 600, the AR device 700, and/or the HIPD 800 to provide user inputs. For example, the user 502 can perform one or more hand gestures that are detected by the wrist-wearable device 600 (e.g., using one or more EMG sensors and/or IMUs, described below in reference to
The wrist-wearable device 600, the AR device 700, and/or the HIPD 800 can operate alone or in conjunction to allow the user 502 to interact with the AR environment. In some embodiments, the HIPD 800 is configured to operate as a central hub or control center for the wrist-wearable device 600, the AR device 700, and/or another communicatively coupled device. For example, the user 502 can provide an input to interact with the AR environment at any of the wrist-wearable device 600, the AR device 700, and/or the HIPD 800, and the HIPD 800 can identify one or more back-end and front-end tasks to cause the performance of the requested interaction and distribute instructions to cause the performance of the one or more back-end and front-end tasks at the wrist-wearable device 600, the AR device 700, and/or the HIPD 800. In some embodiments, a back-end task is a background-processing task that is not perceptible by the user (e.g., rendering content, decompression, or compression), and a front-end task is a user-facing task that is perceptible to the user (e.g., presenting information to the user or providing feedback to the user). As described below in reference to
In the example shown by the first AR system 500a, the HIPD 800 identifies one or more back-end tasks and front-end tasks associated with a user request to initiate an AR video call with one or more other users (represented by the avatar 504 and the digital representation of the contact 506) and distributes instructions to cause the performance of the one or more back-end tasks and front-end tasks. In particular, the HIPD 800 performs back-end tasks for processing and/or rendering image data (and other data) associated with the AR video call and provides operational data associated with the performed back-end tasks to the AR device 700 such that the AR device 700 performs front-end tasks for presenting the AR video call (e.g., presenting the avatar 504 and the digital representation of the contact 506).
In some embodiments, the HIPD 800 can operate as a focal or anchor point for causing the presentation of information. This allows the user 502 to be generally aware of where information is presented. For example, as shown in the first AR system 500a, the avatar 504 and the digital representation of the contact 506 are presented above the HIPD 800. In particular, the HIPD 800 and the AR device 700 operate in conjunction to determine a location for presenting the avatar 504 and the digital representation of the contact 506. In some embodiments, information can be presented within a predetermined distance from the HIPD 800 (e.g., within five meters). For example, as shown in the first AR system 500a, virtual object 508 is presented on the desk some distance from the HIPD 800. Similar to the above example, the HIPD 800 and the AR device 700 can operate in conjunction to determine a location for presenting the virtual object 508. Alternatively, in some embodiments, presentation of information is not bound by the HIPD 800. More specifically, the avatar 504, the digital representation of the contact 506, and the virtual object 508 do not have to be presented within a predetermined distance of the HIPD 800.
User inputs provided at the wrist-wearable device 600, the AR device 700, and/or the HIPD 800 are coordinated such that the user can use any device to initiate, continue, and/or complete an operation. For example, the user 502 can provide a user input to the AR device 700 to cause the AR device 700 to present the virtual object 508 and, while the virtual object 508 is presented by the AR device 700, the user 502 can provide one or more hand gestures via the wrist-wearable device 600 to interact and/or manipulate the virtual object 508.
In some embodiments, the user 502 initiates, via a user input, an application on the wrist-wearable device 600, the AR device 700, and/or the HIPD 800 that causes the application to initiate on at least one device. For example, in the second AR system 500b, the user 502 performs a hand gesture associated with a command for initiating a messaging application (represented by messaging user interface 512), the wrist-wearable device 600 detects the hand gesture, and, based on a determination that the user 502 is wearing AR device 700, causes the AR device 700 to present a messaging user interface 512 of the messaging application. The AR device 700 can present the messaging user interface 512 to the user 502 via its display (e.g., as shown by user 502's field of view 510). In some embodiments, the application is initiated and can be run on the device (e.g., the wrist-wearable device 600, the AR device 700, and/or the HIPD 800) that detects the user input to initiate the application, and the device provides operational data to another device to cause the presentation of the messaging application. For example, the wrist-wearable device 600 can detect the user input to initiate a messaging application, initiate and run the messaging application, and provide operational data to the AR device 700 and/or the HIPD 800 to cause presentation of the messaging application. Alternatively, the application can be initiated and run at a device other than the device that detected the user input. For example, the wrist-wearable device 600 can detect the hand gesture associated with initiating the messaging application and cause the HIPD 800 to run the messaging application and coordinate the presentation of the messaging application.
Further, the user 502 can provide a user input provided at the wrist-wearable device 600, the AR device 700, and/or the HIPD 800 to continue and/or complete an operation initiated at another device. For example, after initiating the messaging application via the wrist-wearable device 600 and, while the AR device 700 presents the messaging user interface 512, the user 502 can provide an input at the HIPD 800 to prepare a response (e.g., shown by the swipe gesture performed on the HIPD 800). The user 502's gestures performed on the HIPD 800 can be provided and/or displayed on another device. For example, the user 502's swipe gestures performed on the HIPD 800 are displayed on a virtual keyboard of the messaging user interface 512 displayed by the AR device 700.
In some embodiments, the wrist-wearable device 600, the AR device 700, the HIPD 800, and/or other communicatively coupled devices can present one or more notifications to the user 502. The notification can be an indication of a new message, an incoming call, an application update, a status update, etc. The user 502 can select the notification via the wrist-wearable device 600, the AR device 700, or the HIPD 800 and cause presentation of an application or operation associated with the notification on at least one device. For example, the user 502 can receive a notification that a message was received at the wrist-wearable device 600, the AR device 700, the HIPD 800, and/or other communicatively coupled device and provide a user input at the wrist-wearable device 600, the AR device 700, and/or the HIPD 800 to review the notification, and the device detecting the user input can cause an application associated with the notification to be initiated and/or presented at the wrist-wearable device 600, the AR device 700, and/or the HIPD 800.
While the above example describes coordinated inputs used to interact with a messaging application, the skilled artisan will appreciate upon reading the descriptions that user inputs can be coordinated to interact with any number of applications including, but not limited to, gaming applications, social media applications, camera applications, web-based applications, financial applications, etc. For example, the AR device 700 can present to the user 502 game application data and the HIPD 800 can use a controller to provide inputs to the game. Similarly, the user 502 can use the wrist-wearable device 600 to initiate a camera of the AR device 700, and the user can use the wrist-wearable device 600, the AR device 700, and/or the HIPD 800 to manipulate the image capture (e.g., zoom in or out or apply filters) and capture image data.
Turning to
In some embodiments, the user 502 can provide a user input via the wrist-wearable device 600, the VR device 710, and/or the HIPD 800 that causes an action in a corresponding AR environment. For example, the user 502 in the third AR system 500c (shown in
In
While the wrist-wearable device 600, the VR device 710, and/or the HIPD 800 are described as detecting user inputs, in some embodiments, user inputs are detected at a single device (with the single device being responsible for distributing signals to the other devices for performing the user input). For example, the HIPD 800 can operate an application for generating the first AR game environment 520 and provide the VR device 710 with corresponding data for causing the presentation of the first AR game environment 520, as well as detect the 502's movements (while holding the HIPD 800) to cause the performance of corresponding actions within the first AR game environment 520. Additionally or alternatively, in some embodiments, operational data (e.g., sensor data, image data, application data, device data, and/or other data) of one or more devices is provided to a single device (e.g., the HIPD 800) to process the operational data and cause respective devices to perform an action associated with processed operational data.
In
In some embodiments, the user 502 can provide a user input via the wrist-wearable device 600, the VR device 710, and/or the smart textile-based garments 900 that causes an action in a corresponding AR environment. For example, the user 502 in the fourth AR system 500d (shown in
In
Having discussed example AR systems, devices for interacting with such AR systems, and other computing systems more generally, devices and components will now be discussed in greater detail below. Some definitions of devices and components that can be included in some or all of the example devices discussed below are defined here for ease of reference. A skilled artisan will appreciate that certain types of the components described below may be more suitable for a particular set of devices and less suitable for a different set of devices. But subsequent references to the components defined here should be considered to be encompassed by the definitions provided.
In some embodiments discussed below, example devices and systems, including electronic devices and systems, will be discussed. Such example devices and systems are not intended to be limiting, and one of skill in the art will understand that alternative devices and systems to the example devices and systems described herein may be used to perform the operations and construct the systems and devices that are described herein.
As described herein, an electronic device is a device that uses electrical energy to perform a specific function. It can be any physical object that contains electronic components such as transistors, resistors, capacitors, diodes, and integrated circuits. Examples of electronic devices include smartphones, laptops, digital cameras, televisions, gaming consoles, and music players, as well as the example electronic devices discussed herein. As described herein, an intermediary electronic device is a device that sits between two other electronic devices and/or a subset of components of one or more electronic devices, which facilitates communication, and/or data processing, and/or data transfer between the respective electronic devices and/or electronic components.
As will be described in more detail below, operations executed by the wrist-wearable device 600 can include (i) presenting content to a user (e.g., displaying visual content via a display 605); (ii) detecting (e.g., sensing) user input (e.g., sensing a touch on peripheral button 623 and/or at a touch screen of the display 605, a hand gesture detected by sensors (e.g., biopotential sensors)); (iii) sensing biometric data via one or more sensors 613 (e.g., neuromuscular signals, heart rate, temperature, or sleep); messaging (e.g., text, speech, or video); image capture via one or more imaging devices or cameras 625; wireless communications (e.g., cellular, near field, Wi-Fi, or personal area network); location determination; financial transactions; providing haptic feedback; alarms; notifications; biometric authentication; health monitoring; and/or sleep monitoring.
The above-example functions can be executed independently in the watch body 620, independently in the wearable band 610, and/or via an electronic communication between the watch body 620 and the wearable band 610. In some embodiments, functions can be executed on the wrist-wearable device 600 while an AR environment is being presented (e.g., via one of the AR systems 500a to 500d). As the skilled artisan will appreciate upon reading the descriptions provided herein, the novel wearable devices described herein can be used with other types of AR environments.
The wearable band 610 can be configured to be worn by a user such that an inner (or inside) surface of the wearable structure 611 of the wearable band 610 is in contact with the user's skin. When worn by a user, sensors 613 contact the user's skin. The sensors 613 can sense biometric data such as a user's heart rate, saturated oxygen level, temperature, sweat level, neuromuscular-signal sensors, or a combination thereof. The sensors 613 can also sense data about a user's environment, including a user's motion, altitude, location, orientation, gait, acceleration, position, or a combination thereof. In some embodiments, the sensors 613 are configured to track a position and/or motion of the wearable band 610. The one or more sensors 613 can include any of the sensors defined above and/or discussed below with respect to
The one or more sensors 613 can be distributed on an inside and/or an outside surface of the wearable band 610. In some embodiments, the one or more sensors 613 are uniformly spaced along the wearable band 610. Alternatively, in some embodiments, the one or more sensors 613 are positioned at distinct points along the wearable band 610. As shown in
The wearable band 610 can include any suitable number of sensors 613. In some embodiments, the amount and arrangements of sensors 613 depend on the particular application for which the wearable band 610 is used. For instance, a wearable band 610 configured as an armband, wristband, or chest band may include a plurality of sensors 613 with a different number of sensors 613 and different arrangement for each use case, such as medical use cases, compared to gaming or general day-to-day use cases.
In accordance with some embodiments, the wearable band 610 further includes an electrical ground electrode and a shielding electrode. The electrical ground and shielding electrodes, like the sensors 613, can be distributed on the inside surface of the wearable band 610 such that they contact a portion of the user's skin. For example, the electrical ground and shielding electrodes can be at an inside surface of coupling mechanism 616 or an inside surface of a wearable structure 611. The electrical ground and shielding electrodes can be formed and/or use the same components as the sensors 613. In some embodiments, the wearable band 610 includes more than one electrical ground electrode and more than one shielding electrode.
The sensors 613 can be formed as part of the wearable structure 611 of the wearable band 610. In some embodiments, the sensors 613 are flush or substantially flush with the wearable structure 611 such that they do not extend beyond the surface of the wearable structure 611. While flush with the wearable structure 611, the sensors 613 are still configured to contact the user's skin (e.g., via a skin-contacting surface). Alternatively, in some embodiments, the sensors 613 extend beyond the wearable structure 611 a predetermined distance (e.g., 0.1 mm to 2 mm) to make contact and depress into the user's skin. In some embodiments, the sensors 613 are coupled to an actuator (not shown) configured to adjust an extension height (e.g., a distance from the surface of the wearable structure 611) of the sensors 613 such that the sensors 613 make contact and depress into the user's skin. In some embodiments, the actuators adjust the extension height between 0.01 mm to 1.2 mm. This allows the user to customize the positioning of the sensors 613 to improve the overall comfort of the wearable band 610 when worn while still allowing the sensors 613 to contact the user's skin. In some embodiments, the sensors 613 are indistinguishable from the wearable structure 611 when worn by the user.
The wearable structure 611 can be formed of an elastic material, elastomers, etc., configured to be stretched and fitted to be worn by the user. In some embodiments, the wearable structure 611 is a textile or woven fabric. As described above, the sensors 613 can be formed as part of a wearable structure 611. For example, the sensors 613 can be molded into the wearable structure 611 or be integrated into a woven fabric (e.g., the sensors 613 can be sewn into the fabric and mimic the pliability of fabric (e.g., the sensors 613 can be constructed from a series of woven strands of fabric)).
The wearable structure 611 can include flexible electronic connectors that interconnect the sensors 613, the electronic circuitry, and/or other electronic components (described below in reference to
As described above, the wearable band 610 is configured to be worn by a user. In particular, the wearable band 610 can be shaped or otherwise manipulated to be worn by a user. For example, the wearable band 610 can be shaped to have a substantially circular shape such that it can be configured to be worn on the user's lower arm or wrist. Alternatively, the wearable band 610 can be shaped to be worn on another body part of the user, such as the user's upper arm (e.g., around a bicep), forearm, chest, legs, etc. The wearable band 610 can include a retaining mechanism 612 (e.g., a buckle or a hook and loop fastener) for securing the wearable band 610 to the user's wrist or other body part. While the wearable band 610 is worn by the user, the sensors 613 sense data (referred to as sensor data) from the user's skin. In particular, the sensors 613 of the wearable band 610 obtain (e.g., sense and record) neuromuscular signals.
The sensed data (e.g., sensed neuromuscular signals) can be used to detect and/or determine the user's intention to perform certain motor actions. In particular, the sensors 613 sense and record neuromuscular signals from the user as the user performs muscular activations (e.g., movements or gestures). The detected and/or determined motor action (e.g., phalange (or digits) movements, wrist movements, hand movements, and/or other muscle intentions) can be used to determine control commands or control information (instructions to perform certain commands after the data is sensed) for causing a computing device to perform one or more input commands. For example, the sensed neuromuscular signals can be used to control certain user interfaces displayed on the display 605 of the wrist-wearable device 600 and/or can be transmitted to a device responsible for rendering an AR environment (e.g., a head-mounted display) to perform an action in an associated AR environment, such as to control the motion of a virtual device displayed to the user. The muscular activations performed by the user can include static gestures, such as placing the user's hand palm down on a table; dynamic gestures, such as grasping a physical or virtual object; and covert gestures that are imperceptible to another person, such as slightly tensing a joint by co-contracting opposing muscles or using sub-muscular activations. The muscular activations performed by the user can include symbolic gestures (e.g., gestures mapped to other gestures, interactions, or commands, for example, based on a gesture vocabulary that specifies the mapping of gestures to commands).
The sensor data sensed by the sensors 613 can be used to provide a user with an enhanced interaction with a physical object (e.g., devices communicatively coupled with the wearable band 610) and/or a virtual object in an AR application generated by an AR system (e.g., user interface objects presented on the display 605 or another computing device (e.g., a smartphone)).
In some embodiments, the wearable band 610 includes one or more haptic devices 646 (
The wearable band 610 can also include a coupling mechanism 616 (e.g., a cradle or a shape of the coupling mechanism can correspond to the shape of the watch body 620 of the wrist-wearable device 600) for detachably coupling a capsule (e.g., a computing unit) or watch body 620 (via a coupling surface of the watch body 620) to the wearable band 610. In particular, the coupling mechanism 616 can be configured to receive a coupling surface proximate to the bottom side of the watch body 620 (e.g., a side opposite to a front side of the watch body 620 where the display 605 is located), such that a user can push the watch body 620 downward into the coupling mechanism 616 to attach the watch body 620 to the coupling mechanism 616. In some embodiments, the coupling mechanism 616 can be configured to receive a top side of the watch body 620 (e.g., a side proximate to the front side of the watch body 620 where the display 605 is located) that is pushed upward into the cradle, as opposed to being pushed downward into the coupling mechanism 616. In some embodiments, the coupling mechanism 616 is an integrated component of the wearable band 610 such that the wearable band 610 and the coupling mechanism 616 are a single unitary structure. In some embodiments, the coupling mechanism 616 is a type of frame or shell that allows the watch body 620 coupling surface to be retained within or on the wearable band 610 coupling mechanism 616 (e.g., a cradle, a tracker band, a support base, or a clasp).
The coupling mechanism 616 can allow for the watch body 620 to be detachably coupled to the wearable band 610 through a friction fit, a magnetic coupling, a rotation-based connector, a shear-pin coupler, a retention spring, one or more magnets, a clip, a pin shaft, a hook-and-loop fastener, or a combination thereof. A user can perform any type of motion to couple the watch body 620 to the wearable band 610 and to decouple the watch body 620 from the wearable band 610. For example, a user can twist, slide, turn, push, pull, or rotate the watch body 620 relative to the wearable band 610, or a combination thereof, to attach the watch body 620 to the wearable band 610 and to detach the watch body 620 from the wearable band 610. Alternatively, as discussed below, in some embodiments, the watch body 620 can be decoupled from the wearable band 610 by actuation of the release mechanism 629.
The wearable band 610 can be coupled with a watch body 620 to increase the functionality of the wearable band 610 (e.g., converting the wearable band 610 into a wrist-wearable device 600, adding an additional computing unit and/or battery to increase computational resources and/or a battery life of the wearable band 610, or adding additional sensors to improve sensed data). As described above, the wearable band 610 (and the coupling mechanism 616) is configured to operate independently (e.g., execute functions independently) from watch body 620. For example, the coupling mechanism 616 can include one or more sensors 613 that contact a user's skin when the wearable band 610 is worn by the user and provide sensor data for determining control commands.
A user can detach the watch body 620 (or capsule) from the wearable band 610 in order to reduce the encumbrance of the wrist-wearable device 600 to the user. For embodiments in which the watch body 620 is removable, the watch body 620 can be referred to as a removable structure, such that in these embodiments the wrist-wearable device 600 includes a wearable portion (e.g., the wearable band 610) and a removable structure (the watch body 620).
Turning to the watch body 620, the watch body 620 can have a substantially rectangular or circular shape. The watch body 620 is configured to be worn by the user on their wrist or on another body part. More specifically, the watch body 620 is sized to be easily carried by the user, attached on a portion of the user's clothing, and/or coupled to the wearable band 610 (forming the wrist-wearable device 600). As described above, the watch body 620 can have a shape corresponding to the coupling mechanism 616 of the wearable band 610. In some embodiments, the watch body 620 includes a single release mechanism 629 or multiple release mechanisms (e.g., two release mechanisms 629 positioned on opposing sides of the watch body 620, such as spring-loaded buttons) for decoupling the watch body 620 and the wearable band 610. The release mechanism 629 can include, without limitation, a button, a knob, a plunger, a handle, a lever, a fastener, a clasp, a dial, a latch, or a combination thereof.
A user can actuate the release mechanism 629 by pushing, turning, lifting, depressing, shifting, or performing other actions on the release mechanism 629. Actuation of the release mechanism 629 can release (e.g., decouple) the watch body 620 from the coupling mechanism 616 of the wearable band 610, allowing the user to use the watch body 620 independently from wearable band 610 and vice versa. For example, decoupling the watch body 620 from the wearable band 610 can allow the user to capture images using rear-facing camera 625b. Although the coupling mechanism 616 is shown positioned at a corner of watch body 620, the release mechanism 629 can be positioned anywhere on watch body 620 that is convenient for the user to actuate. In addition, in some embodiments, the wearable band 610 can also include a respective release mechanism for decoupling the watch body 620 from the coupling mechanism 616. In some embodiments, the release mechanism 629 is optional and the watch body 620 can be decoupled from the coupling mechanism 616, as described above (e.g., via twisting or rotating).
The watch body 620 can include one or more peripheral buttons 623 and 627 for performing various operations at the watch body 620. For example, the peripheral buttons 623 and 627 can be used to turn on or wake (e.g., transition from a sleep state to an active state) the display 605, unlock the watch body 620, increase or decrease volume, increase or decrease brightness, interact with one or more applications, interact with one or more user interfaces. Additionally, or alternatively, in some embodiments, the display 605 operates as a touch screen and allows the user to provide one or more inputs for interacting with the watch body 620.
In some embodiments, the watch body 620 includes one or more sensors 621. The sensors 621 of the watch body 620 can be the same or distinct from the sensors 613 of the wearable band 610. The sensors 621 of the watch body 620 can be distributed on an inside and/or an outside surface of the watch body 620. In some embodiments, the sensors 621 are configured to contact a user's skin when the watch body 620 is worn by the user. For example, the sensors 621 can be placed on the bottom side of the watch body 620 and the coupling mechanism 616 can be a cradle with an opening that allows the bottom side of the watch body 620 to directly contact the user's skin. Alternatively, in some embodiments, the watch body 620 does not include sensors that are configured to contact the user's skin (e.g., including sensors internal and/or external to the watch body 620 that are configured to sense data of the watch body 620 and the watch body 620's surrounding environment). In some embodiments, the sensors 613 are configured to track a position and/or motion of the watch body 620.
The watch body 620 and the wearable band 610 can share data using a wired communication method (e.g., a Universal Asynchronous Receiver/Transmitter (UART) or a USB transceiver) and/or a wireless communication method (e.g., near-field communication or Bluetooth). For example, the watch body 620 and the wearable band 610 can share data sensed by the sensors 613 and 621, as well as application- and device-specific information (e.g., active and/or available applications), output devices (e.g., display or speakers), and/or input devices (e.g., touch screens, microphones, or imaging sensors).
In some embodiments, the watch body 620 can include, without limitation, a front-facing camera 625a and/or a rear-facing camera 625b, sensors 621 (e.g., a biometric sensor, an IMU sensor, a heart-rate sensor, a saturated oxygen sensor, a neuromuscular-signal sensor, an altimeter sensor, a temperature sensor, a bioimpedance sensor, a pedometer sensor, an optical sensor (e.g.,
As described above, the watch body 620 and the wearable band 610, when coupled, can form the wrist-wearable device 600. When coupled, the watch body 620 and wearable band 610 operate as a single device to execute functions (e.g., operations, detections, or communications) described herein. In some embodiments, each device is provided with particular instructions for performing the one or more operations of the wrist-wearable device 600. For example, in accordance with a determination that the watch body 620 does not include neuromuscular-signal sensors, the wearable band 610 can include alternative instructions for performing associated instructions (e.g., providing sensed neuromuscular-signal data to the watch body 620 via a different electronic device). Operations of the wrist-wearable device 600 can be performed by the watch body 620 alone or in conjunction with the wearable band 610 (e.g., via respective processors and/or hardware components) and vice versa. In some embodiments, operations of the wrist-wearable device 600, the watch body 620, and/or the wearable band 610 can be performed in conjunction with one or more processors and/or hardware components of another communicatively coupled device (e.g.,
As described below with reference to the block diagram of
The watch body 620 and/or the wearable band 610 can include one or more components shown in watch body computing system 660. In some embodiments, a single integrated circuit includes all or a substantial portion of the components of the watch body computing system 660 that are included in a single integrated circuit. Alternatively, in some embodiments, components of the watch body computing system 660 are included in a plurality of integrated circuits that are communicatively coupled. In some embodiments, the watch body computing system 660 is configured to couple (e.g., via a wired or wireless connection) with the wearable band computing system 630, which allows the computing systems to share components, distribute tasks, and/or perform other operations described herein (individually or as a single device).
The watch body computing system 660 can include one or more processors 679, a controller 677, a peripherals interface 661, a power system 695, and memory (e.g., a memory 680), each of which is defined above and described in more detail below.
The power system 695 can include a charger input 696, a power-management integrated circuit (PMIC) 697, and a battery 698, each of which is defined above. In some embodiments, a watch body 620 and a wearable band 610 can have respective charger inputs (e.g., charger inputs 696 and 657) and respective batteries (e.g., batteries 698 and 659), and can share power with each other (e.g., the watch body 620 can power and/or charge the wearable band 610 and vice versa). Although watch body 620 and/or the wearable band 610 can include respective charger inputs, a single charger input can charge both devices when coupled. The watch body 620 and the wearable band 610 can receive a charge using a variety of techniques. In some embodiments, the watch body 620 and the wearable band 610 can use a wired charging assembly (e.g., power cords) to receive the charge. Alternatively, or in addition, the watch body 620 and/or the wearable band 610 can be configured for wireless charging. For example, a portable charging device can be designed to mate with a portion of watch body 620 and/or wearable band 610 and wirelessly deliver usable power to a battery of watch body 620 and/or wearable band 610. The watch body 620 and the wearable band 610 can have independent power systems (e.g., power system 695 and 656) to enable each to operate independently. The watch body 620 and wearable band 610 can also share power (e.g., one can charge the other) via respective PMICs (e.g., PMICs 697 and 658) that can share power over power and ground conductors and/or over wireless charging antennas.
In some embodiments, the peripherals interface 661 can include one or more sensors 621, many of which listed below are defined above. The sensors 621 can include one or more coupling sensors 662 for detecting when the watch body 620 is coupled with another electronic device (e.g., a wearable band 610). The sensors 621 can include imaging sensors 663 (one or more of the cameras 625 and/or separate imaging sensors 663 (e.g., thermal-imaging sensors)). In some embodiments, the sensors 621 include one or more SpO2 sensors 664. In some embodiments, the sensors 621 include one or more biopotential-signal sensors (e.g., EMG sensors 665, which may be disposed on a user-facing portion of the watch body 620 and/or the wearable band 610). In some embodiments, the sensors 621 include one or more capacitive sensors 666. In some embodiments, the sensors 621 include one or more heart-rate sensors 667. In some embodiments, the sensors 621 include one or more IMUs 668. In some embodiments, one or more IMUs 668 can be configured to detect movement of a user's hand or other location that the watch body 620 is placed or held.
In some embodiments, the peripherals interface 661 includes an NFC component 669, a GPS component 670, a long-term evolution (LTE) component 671, and/or a Wi-Fi and/or Bluetooth communication component 672. In some embodiments, the peripherals interface 661 includes one or more buttons 673 (e.g., the peripheral buttons 623 and 627 in
The watch body 620 can include at least one display 605 for displaying visual representations of information or data to the user, including user-interface elements and/or 3D virtual objects. The display can also include a touch screen for inputting user inputs, such as touch gestures, swipe gestures, and the like. The watch body 620 can include at least one speaker 674 and at least one microphone 675 for providing audio signals to the user and receiving audio input from the user. The user can provide user inputs through the microphone 675 and can also receive audio output from the speaker 674 as part of a haptic event provided by the haptic controller 678. The watch body 620 can include at least one camera 625, including a front-facing camera 625a and a rear-facing camera 625b. The cameras 625 can include ultra-wide-angle cameras, wide-angle cameras, fish-eye cameras, spherical cameras, telephoto cameras, depth-sensing cameras, or other types of cameras.
The watch body computing system 660 can include one or more haptic controllers 678 and associated componentry (e.g., haptic devices 676) for providing haptic events at the watch body 620 (e.g., a vibrating sensation or audio output in response to an event at the watch body 620). The haptic controllers 678 can communicate with one or more haptic devices 676 such as electroacoustic devices, including a speaker of the one or more speakers 674 and/or other audio components and/or electromechanical devices that convert energy into linear motion such as a motor, solenoid, electroactive polymer, piezoelectric actuator, electrostatic actuator, or other tactile output generating component (e.g., a component that converts electrical signals into tactile outputs on the device). The haptic controller 678 can provide haptic events to respective haptic actuators that are capable of being sensed by a user of the watch body 620. In some embodiments, the one or more haptic controllers 678 can receive input signals from an application of the applications 682.
In some embodiments, the computer system 630 and/or the computer system 660 can include memory 680, which can be controlled by a memory controller of the one or more controllers 677 and/or one or more processors 679. In some embodiments, software components stored in the memory 680 include one or more applications 682 configured to perform operations at the watch body 620. In some embodiments, the one or more applications 682 include games, word processors, messaging applications, calling applications, web browsers, social media applications, media streaming applications, financial applications, calendars, clocks, etc. In some embodiments, software components stored in the memory 680 include one or more communication interface modules 683 as defined above. In some embodiments, software components stored in the memory 680 include one or more graphics modules 684 for rendering, encoding, and/or decoding audio and/or visual data; and one or more data management modules 685 for collecting, organizing, and/or providing access to the data 687 stored in memory 680. In some embodiments, one or more of applications 682 and/or one or more modules can work in conjunction with one another to perform various tasks at the watch body 620.
In some embodiments, software components stored in the memory 680 can include one or more operating systems 681 (e.g., a Linux-based operating system, and/or an Android operating system). The memory 680 can also include data 687. The data 687 can include profile data 688A, sensor data 689A, media content data 690, application data 691, and power consumption data 692A, which stores data related to the performance of the features described above in reference to
It should be appreciated that the watch body computing system 660 is an example of a computing system within the watch body 620, and that the watch body 620 can have more or fewer components than shown in the watch body computing system 660, combine two or more components, and/or have a different configuration and/or arrangement of the components. The various components shown in watch body computing system 660 are implemented in hardware, software, firmware, or a combination thereof, including one or more signal-processing and/or application-specific integrated circuits (ASICs).
Turning to the wearable band computing system 630, one or more components that can be included in the wearable band 610 are shown. The wearable band computing system 630 can include more or fewer components than shown in the watch body computing system 660, combine two or more components, and/or have a different configuration and/or arrangement of some or all of the components. In some embodiments, all, or a substantial portion, of the components of the wearable band computing system 630 are included in a single integrated circuit. Alternatively, in some embodiments, components of the wearable band computing system 630 are included in a plurality of integrated circuits that are communicatively coupled. As described above, in some embodiments, the wearable band computing system 630 is configured to couple (e.g., via a wired or wireless connection) with the watch body computing system 660, which allows the computing systems to share components, distribute tasks, and/or perform other operations described herein (individually or as a single device).
The wearable band computing system 630, similar to the watch body computing system 660, can include one or more processors 649, one or more controllers 647 (including one or more haptics controller 648), a peripherals interface 631 that can include one or more sensors 613 and other peripheral devices, power source (e.g., a power system 656), and memory (e.g., a memory 650) that includes an operating system (e.g., an operating system 651), data (e.g., data 654 including profile data 688B, sensor data 689B, power consumption data 692B storing data related to performance of features described above in reference to
The one or more sensors 613 can be analogous to sensors 621 of the computer system 660 in light of the definitions above. For example, sensors 613 can include one or more coupling sensors 632, one or more SpO2 sensors 634, one or more EMG sensors 635, one or more capacitive sensors 636, one or more heart-rate sensors 637, and one or more IMU sensors 638.
The peripherals interface 631 can also include other components analogous to those included in the peripheral interface 661 of the computer system 660, including an NFC component 639, a GPS component 640, an LTE component 641, a Wi-Fi and/or Bluetooth communication component 642, and/or one or more haptic devices 676 as described above in reference to peripherals interface 661. In some embodiments, the peripherals interface 631 includes one or more buttons 643, a display 633, a speaker 644, a microphone 645, and a camera 655. In some embodiments, the peripherals interface 631 includes one or more indicators, such as an LED.
It should be appreciated that the wearable band computing system 630 is an example of a computing system within the wearable band 610, and that the wearable band 610 can have more or fewer components than shown in the wearable band computing system 630, combine two or more components, and/or have a different configuration and/or arrangement of the components. The various components shown in wearable band computing system 630 can be implemented in one or a combination of hardware, software, and firmware, including one or more signal-processing and/or ASICs.
The wrist-wearable device 600 with respect to
The techniques described above can be used with any device for sensing neuromuscular signals, including the arm-wearable devices of
In some embodiments, a wrist-wearable device 600 can be used in conjunction with a head-wearable device described below (e.g., AR device 700 and VR device 710) and/or an HIPD 800, and the wrist-wearable device 600 can also be configured to be used to allow a user to control aspect of the AR (e.g., by using EMG-based gestures to control user interface objects in the AR and/or by allowing a user to interact with the touchscreen on the wrist-wearable device to also control aspects of the AR). In some embodiments, a wrist-wearable device 600 can also be used in conjunction with a wearable garment, such as smart textile-based garment 900 described below in reference to
In some embodiments, an AR system (e.g.,
The AR device 700 includes mechanical glasses components, including a frame 704 configured to hold one or more lenses (e.g., one or both lenses 706-1 and 706-2). One of ordinary skill in the art will appreciate that the AR device 700 can include additional mechanical components, such as hinges configured to allow portions of the frame 704 of the AR device 700 to be folded and unfolded, a bridge configured to span the gap between the lenses 706-1 and 706-2 and rest on the user's nose, nose pads configured to rest on the bridge of the nose and provide support for the AR device 700, earpieces configured to rest on the user's ears and provide additional support for the AR device 700, temple arms 705 configured to extend from the hinges to the earpieces of the AR device 700, and the like. One of ordinary skill in the art will further appreciate that some examples of the AR device 700 can include none of the mechanical components described herein. For example, smart contact lenses configured to present AR to users may not include any components of the AR device 700.
The lenses 706-1 and 706-2 can be individual displays or display devices (e.g., a waveguide for projected representations). The lenses 706-1 and 706-2 may act together or independently to present an image or series of images to a user. In some embodiments, the lenses 706-1 and 706-2 can operate in conjunction with one or more display projector assemblies 707A and 707B to present image data to a user. While the AR device 700 includes two displays, embodiments of this disclosure may be implemented in AR devices with a single near-eye display (NED) or more than two NEDs.
The AR device 700 includes electronic components, many of which will be described in more detail below with respect to
The VR device 710 can include a housing 790 storing one or more components of the VR device 710 and/or additional components of the VR device 710. The housing 790 can be a modular electronic device configured to couple with the VR device 710 (or an AR device 700) and supplement and/or extend the capabilities of the VR device 710 (or an AR device 700). For example, the housing 790 can include additional sensors, cameras, power sources, and processors (e.g., processor 748A-2) to improve and/or increase the functionality of the VR device 710. Examples of the different components included in the housing 790 are described below in reference to
Alternatively, or in addition, in some embodiments, the head-wearable device, such as the VR device 710 and/or the AR device 700, includes, or is communicatively coupled to, another external device (e.g., a paired device), such as an HIPD 8 (discussed below in reference to
In some situations, pairing external devices, such as an intermediary processing device (e.g., an HIPD device 800, an optional neckband, and/or a wearable accessory device), with the head-wearable devices (e.g., an AR device 700 and/or a VR device 710) enables the head-wearable devices to achieve a similar form factor of a pair of glasses while still providing sufficient battery and computational power for expanded capabilities. Some, or all, of the battery power, computational resources, and/or additional features of the head-wearable devices can be provided by a paired device or shared between a paired device and the head-wearable devices, thus reducing the weight, heat profile, and form factor of the head-wearable device overall while allowing the head-wearable device to retain its desired functionality. For example, the intermediary processing device (e.g., the HIPD 800) can allow components that would otherwise be included in a head-wearable device to be included in the intermediary processing device (and/or a wearable device or accessory device), thereby shifting a weight load from the user's head and neck to one or more other portions of the user's body. In some embodiments, the intermediary processing device has a larger surface area over which to diffuse and disperse heat to the ambient environment. Thus, the intermediary processing device can allow for greater battery and computational capacity than might otherwise have been possible on the head-wearable devices standing alone. Because weight carried in the intermediary processing device can be less invasive to a user than weight carried in the head-wearable devices, a user may tolerate wearing a lighter eyewear device and carrying or wearing the paired device for greater lengths of time than the user would tolerate wearing a heavier eyewear device standing alone, thereby enabling an AR environment to be incorporated more fully into a user's day-to-day activities.
In some embodiments, the intermediary processing device is communicatively coupled with the head-wearable device and/or to other devices. The other devices may provide certain functions (e.g., tracking, localizing, depth mapping, processing, and/or storage) to the head-wearable device. In some embodiments, the intermediary processing device includes a controller and a power source. In some embodiments, sensors of the intermediary processing device are configured to sense additional data that can be shared with the head-wearable devices in an electronic format (analog or digital).
The controller of the intermediary processing device processes information generated by the sensors on the intermediary processing device and/or the head-wearable devices. The intermediary processing device, such as an HIPD 800, can process information generated by one or more of its sensors and/or information provided by other communicatively coupled devices. For example, a head-wearable device can include an IMU, and the intermediary processing device (a neckband and/or an HIPD 800) can compute all inertial and spatial calculations from the IMUs located on the head-wearable device. Additional examples of processing performed by a communicatively coupled device, such as the HIPD 800, are provided below in reference to
AR systems may include a variety of types of visual feedback mechanisms. For example, display devices in the AR devices 700 and/or the VR devices 710 may include one or more liquid-crystal displays (LCDs), LED displays, organic LED (OLED) displays, and/or any other suitable type of display screen. AR systems may include a single display screen for both eyes or may provide a display screen for each eye, which may allow for additional flexibility for varifocal adjustments or for correcting a refractive error associated with the user's vision. Some AR systems also include optical subsystems having one or more lenses (e.g., conventional concave or convex lenses, Fresnel lenses, or adjustable liquid lenses) through which a user may view a display screen. In addition to or instead of using display screens, some AR systems include one or more projection systems. For example, display devices in the AR device 700 and/or the VR device 710 may include micro-LED projectors that project light (e.g., using a waveguide) into display devices, such as clear combiner lenses that allow ambient light to pass through. The display devices may refract the projected light toward a user's pupil and may enable a user to simultaneously view both AR content and the real world. AR systems may also be configured with any other suitable type or form of image projection system. As noted, some AR systems may instead of blending an AR with actual reality, substantially replace one or more of a user's sensory perceptions of the real world with a virtual experience.
While the example head-wearable devices are respectively described herein as the AR device 700 and the VR device 710, either or both of the example head-wearable devices described herein can be configured to present fully immersive VR scenes presented in substantially all of a user's field of view, additionally or alternatively to, subtler augmented-reality scenes that are presented within a portion, less than all, of the user's field of view.
In some embodiments, the AR device 700 and/or the VR device 710 can include haptic feedback systems. The haptic feedback systems may provide various types of cutaneous feedback, including vibration, force, traction, shear, texture, and/or temperature. The haptic feedback systems may also provide various types of kinesthetic feedback, such as motion and compliance. The haptic feedback can be implemented using motors, piezoelectric actuators, fluidic systems, and/or a variety of other types of feedback mechanisms. The haptic feedback systems may be implemented independently of other AR devices, within other AR devices, and/or in conjunction with other AR devices (e.g., wrist-wearable devices that may be incorporated into headwear, gloves, body suits, handheld controllers, environmental devices (e.g., chairs or floormats), and/or any other type of device or system, such as a wrist-wearable device 600, an HIPD 800, smart textile-based garment 900), and/or other devices described herein.
In some embodiments, the computing system 720 and/or the optional housing 790 can include one or more peripheral interfaces 722A and 722B, one or more power systems 742A and 742B (including charger input 743, PMIC 744, and battery 745), one or more controllers 746A and 746B (including one or more haptic controllers 747), one or more processors 748A and 748B (as defined above, including any of the examples provided), and memory 750A and 750B, which can all be in electronic communication with each other. For example, the one or more processors 748A and/or 748B can be configured to execute instructions stored in the memory 750A and/or 750B, which can cause a controller of the one or more controllers 746A and/or 746B to cause operations to be performed at one or more peripheral devices of the peripherals interfaces 722A and/or 722B. In some embodiments, each operation described can occur based on electrical power provided by the power system 742A and/or 742B.
In some embodiments, the peripherals interface 722A can include one or more devices configured to be part of the computing system 720, many of which have been defined above and/or described with respect to wrist-wearable devices shown in
In some embodiments, the peripherals interface can include one or more additional peripheral devices, including one or more NFC devices 730, one or more GPS devices 731, one or more LTE devices 732, one or more Wi-Fi and/or Bluetooth devices 733, one or more buttons 734 (e.g., including buttons that are slidable or otherwise adjustable), one or more displays 735A, one or more speakers 736A, one or more microphones 737A, one or more cameras 738A (e.g., including the first camera 739-1 through nth camera 739-n, which are analogous to the left camera 739A and/or the right camera 739B), one or more haptic devices 740, and/or any other types of peripheral devices defined above or described with respect to any other embodiments discussed herein.
The head-wearable devices can include a variety of types of visual feedback mechanisms (e.g., presentation devices). For example, display devices in the AR device 700 and/or the VR device 710 can include one or more LCDs, LED displays, OLED displays, micro-LEDs, and/or any other suitable types of display screens. The head-wearable devices can include a single display screen (e.g., configured to be seen by both eyes) and/or can provide separate display screens for each eye, which can allow for additional flexibility for varifocal adjustments and/or for correcting a refractive error associated with the user's vision. Some embodiments of the head-wearable devices also include optical subsystems having one or more lenses (e.g., conventional concave or convex lenses, Fresnel lenses, or adjustable liquid lenses) through which a user can view a display screen. For example, respective displays 735A can be coupled to each of the lenses 706-1 and 706-2 of the AR device 700. The displays 735A coupled to each of the lenses 706-1 and 706-2 can act together or independently to present an image or series of images to a user. In some embodiments, the AR device 700 and/or the VR device 710 includes a single display 735A (e.g., an NED) or more than two displays 735A.
In some embodiments, a first set of one or more displays 735A can be used to present an augmented-reality environment, and a second set of one or more display devices 735A can be used to present a VR environment. In some embodiments, one or more waveguides are used in conjunction with presenting AR content to the user of the AR device 700 and/or the VR device 710 (e.g., as a means of delivering light from a display projector assembly and/or one or more displays 735A to the user's eyes). In some embodiments, one or more waveguides are fully or partially integrated into the AR device 700 and/or the VR device 710. Additionally, or alternatively, to display screens, some AR systems include one or more projection systems. For example, display devices in the AR device 700 and/or the VR device 710 can include micro-LED projectors that project light (e.g., using a waveguide) into display devices, such as clear combiner lenses that allow ambient light to pass through. The display devices can refract the projected light toward a user's pupil and can enable a user to simultaneously view both AR content and the real world. The head-wearable devices can also be configured with any other suitable type or form of image-projection system. In some embodiments, one or more waveguides are provided, additionally or alternatively, to the one or more display(s) 735A.
In some embodiments of the head-wearable devices, ambient light and/or a real-world live view (e.g., a live feed of the surrounding environment that a user would normally see) can be passed through a display element of a respective head-wearable device presenting aspects of the AR system. In some embodiments, ambient light and/or the real-world live view can be passed through a portion, less than all, of an AR environment presented within a user's field of view (e.g., a portion of the AR environment co-located with a physical object in the user's real-world environment that is within a designated boundary (e.g., a guardian boundary) configured to be used by the user while they are interacting with the AR environment). For example, a visual user interface element (e.g., a notification user interface element) can be presented at the head-wearable devices, and an amount of ambient light and/or the real-world live view (e.g., 15%-50% of the ambient light and/or the real-world live view) can be passed through the user interface element, such that the user can distinguish at least a portion of the physical environment over which the user interface element is being displayed.
The head-wearable devices can include one or more external displays 735A for presenting information to users. For example, an external display 735A can be used to show a current battery level, network activity (e.g., connected, disconnected), current activity (e.g., playing a game, in a call, in a meeting, or watching a movie), and/or other relevant information. In some embodiments, the external displays 735A can be used to communicate with others. For example, a user of the head-wearable device can cause the external displays 735A to present a “do not disturb” notification. The external displays 735A can also be used by the user to share any information captured by the one or more components of the peripherals interface 722A and/or generated by the head-wearable device (e.g., during operation and/or performance of one or more applications).
The memory 750A can include instructions and/or data executable by one or more processors 748A (and/or processors 748B of the housing 790) and/or a memory controller of the one or more controllers 746A (and/or controller 746B of the housing 790). The memory 750A can include one or more operating systems 751, one or more applications 752, one or more communication interface modules 753A, one or more graphics modules 754A, one or more AR processing modules 755A, and/or any other types of modules or components defined above or described with respect to any other embodiments discussed herein.
The data 760 stored in memory 750A can be used in conjunction with one or more of the applications and/or programs discussed above. The data 760 can include profile data 761, sensor data 762, media content data 763, AR application data 764, power-consumption data 765 for storing data related to the performance of the features described above in reference to
In some embodiments, the controller 746A of the head-wearable devices processes information generated by the sensors 723A on the head-wearable devices and/or another component of the head-wearable devices and/or communicatively coupled with the head-wearable devices (e.g., components of the housing 790, such as components of peripherals interface 722B). For example, the controller 746A can process information from the acoustic sensors 725 and/or image sensors 726. For each detected sound, the controller 746A can perform a direction of arrival (DOA) estimation to estimate a direction from which the detected sound arrived at a head-wearable device. As one or more of the acoustic sensors 725 detect sounds, the controller 746A can populate an audio data set with the information (e.g., represented by sensor data 762).
In some embodiments, a physical electronic connector can convey information between the head-wearable devices and another electronic device, and/or between one or more processors 748A of the head-wearable devices and the controller 746A. The information can be in the form of optical data, electrical data, wireless data, or any other transmittable data form. Moving the processing of information generated by the head-wearable devices to an intermediary processing device can reduce weight and heat in the eyewear device, making it more comfortable and safer for a user. In some embodiments, an optional accessory device (e.g., an electronic neckband or an HIPD 800) is coupled to the head-wearable devices via one or more connectors. The connectors can be wired or wireless and can include electrical and/or non-electrical (e.g., structural) components. In some embodiments, the head-wearable devices and the accessory device can operate independently without any wired or wireless connection between them.
The head-wearable devices can include various types of computer vision components and subsystems. For example, the AR device 700 and/or the VR device 710 can include one or more optical sensors such as two-dimensional (2D) or 3D cameras, ToF depth sensors, single-beam or sweeping laser rangefinders, 3D LiDAR sensors, and/or any other suitable type or form of optical sensor. A head-wearable device can process data from one or more of these sensors to identify a location of a user and/or aspects of the user's real-world physical surroundings, including the locations of real-world objects within the real-world physical surroundings. In some embodiments, the methods described herein are used to map the real world, to provide a user with context about real-world surroundings, and/or to generate interactable virtual objects (which can be replicas or digital twins of real-world objects that can be interacted with an AR environment), among a variety of other functions. For example,
The optional housing 790 can include analogous components to those described above with respect to the computing system 720. For example, the optional housing 790 can include a respective peripherals interface 722B, including more or fewer components to those described above with respect to the peripherals interface 722A. As described above, the components of the optional housing 790 can be used to augment and/or expand on the functionality of the head-wearable devices. For example, the optional housing 790 can include respective sensors 723B, speakers 736B, displays 735B, microphones 737B, cameras 738B, and/or other components to capture and/or present data. Similarly, the optional housing 790 can include one or more processors 748B, controllers 746B, and/or memory 750B (including respective communication interface modules 753B, one or more graphics modules 754B, one or more AR processing modules 755B) that can be used individually and/or in conjunction with the components of the computing system 720.
The techniques described above in
The HIPD 800 can perform various functions independently and/or in conjunction with one or more wearable devices (e.g., wrist-wearable device 600, AR device 700, and/or VR device 710). The HIPD 800 is configured to increase and/or improve the functionality of communicatively coupled devices, such as the wearable devices. The HIPD 800 is configured to perform one or more functions or operations associated with interacting with user interfaces and applications of communicatively coupled devices, interacting with an AR environment, interacting with a VR environment, and/or operating as a human-machine interface controller, as well as functions and/or operations described above with reference to
While the HIPD 800 is communicatively coupled with a wearable device and/or other electronic device, the HIPD 800 is configured to perform one or more operations initiated at the wearable device and/or the other electronic device. In particular, one or more operations of the wearable device and/or the other electronic device can be offloaded to the HIPD 800 to be performed. The HIPD 800 performs one or more operations of the wearable device and/or the other electronic device and provides data corresponding to the completed operations to the wearable device and/or the other electronic device. For example, a user can initiate a video stream using the AR device 700, and back-end tasks associated with performing the video stream (e.g., video rendering) can be offloaded to the HIPD 800, which the HIPD 800 performs and provides corresponding data to the AR device 700 to perform remaining front-end tasks associated with the video stream (e.g., presenting the rendered video data via a display of the AR device 700). In this way, the HIPD 800, which has more computational resources and greater thermal headroom than a wearable device, can perform computationally intensive tasks for the wearable device, improving performance of an operation performed by the wearable device.
The HIPD 800 includes a multi-touch input surface 802 on a first side (e.g., a front surface) that is configured to detect one or more user inputs. In particular, the multi-touch input surface 802 can detect single-tap inputs, multi-tap inputs, swipe gestures and/or inputs, force-based and/or pressure-based touch inputs, held taps, and the like. The multi-touch input surface 802 is configured to detect capacitive touch inputs and/or force (and/or pressure) touch inputs. The multi-touch input surface 802 includes a first touch-input surface 804 defined by a surface depression, and a second touch-input surface 806 defined by a substantially planar portion. The first touch-input surface 804 can be disposed adjacent to the second touch-input surface 806. In some embodiments, the first touch-input surface 804 and the second touch-input surface 806 can be different dimensions, shapes, and/or cover different portions of the multi-touch input surface 802. For example, the first touch-input surface 804 can be substantially circular and the second touch-input surface 806 is substantially rectangular. In some embodiments, the surface depression of the multi-touch input surface 802 is configured to guide user handling of the HIPD 800. In particular, the surface depression is configured such that the user holds the HIPD 800 upright when held in a single hand (e.g., such that the using imaging devices or cameras 814A and 814B are pointed toward a ceiling or the sky). Additionally, the surface depression is configured such that the user's thumb rests within the first touch-input surface 804.
In some embodiments, the different touch-input surfaces include a plurality of touch-input zones. For example, the second touch-input surface 806 includes at least a first touch-input zone 808 within a second touch-input zone 806 and a third touch-input zone 810 within the first touch-input zone 808. In some embodiments, one or more of the touch-input zones are optional and/or user defined (e.g., a user can specify a touch-input zone based on their preferences). In some embodiments, each touch-input surface and/or touch-input zone is associated with a predetermined set of commands. For example, a user input detected within the first touch-input zone 808 causes the HIPD 800 to perform a first command and a user input detected within the second touch-input zone 806 causes the HIPD 800 to perform a second command, distinct from the first. In some embodiments, different touch-input surfaces and/or touch-input zones are configured to detect one or more types of user inputs. The different touch-input surfaces and/or touch-input zones can be configured to detect the same or distinct types of user inputs. For example, the first touch-input zone 808 can be configured to detect force touch inputs (e.g., a magnitude at which the user presses down) and capacitive touch inputs, and the second touch-input zone 806 can be configured to detect capacitive touch inputs.
The HIPD 800 includes one or more sensors 851 for sensing data used in the performance of one or more operations and/or functions. For example, the HIPD 800 can include an IMU that is used in conjunction with cameras 814 for 3D object manipulation (e.g., enlarging, moving, and/or destroying an object) in an AR or VR environment. Non-limiting examples of the sensors 851 included in the HIPD 800 include a light sensor, a magnetometer, a depth sensor, a pressure sensor, and a force sensor. Additional examples of the sensors 851 are provided below in reference to
The HIPD 800 can include one or more light indicators 812 to provide one or more notifications to the user. In some embodiments, the light indicators are LEDs or other types of illumination devices. The light indicators 812 can operate as a privacy light to notify the user and/or others near the user that an imaging device and/or microphone are active. In some embodiments, a light indicator is positioned adjacent to one or more touch-input surfaces. For example, a light indicator can be positioned around the first touch-input surface 804. The light indicators can be illuminated in different colors and/or patterns to provide the user with one or more notifications and/or information about the device. For example, a light indicator positioned around the first touch-input surface 804 can flash when the user receives a notification (e.g., a message), change red when the HIPD 800 is out of power, operate as a progress bar (e.g., a light ring that is closed when a task is completed (e.g., 0% to 100%)), and/or operate as a volume indicator.
In some embodiments, the HIPD 800 includes one or more additional sensors on another surface. For example, as shown in
The side view 825 of the HIPD 800 shows the sensor set 820 and camera 814B. The sensor set 820 includes one or more cameras 822A and 822B, a depth projector 824, an ambient light sensor 828, and a depth receiver 830. In some embodiments, the sensor set 820 includes a light indicator 826. The light indicator 826 can operate as a privacy indicator to let the user and/or those around them know that a camera and/or microphone is active. The sensor set 820 is configured to capture a user's facial expression such that the user can puppet a custom avatar (e.g., showing emotions, such as smiles and/or laughter, on the avatar or a digital representation of the user). The sensor set 820 can be configured as a side stereo red-green-blue (RGB) system, a rear indirect time-of-flight (iToF) system, or a rear stereo RGB system. As the skilled artisan will appreciate upon reading the descriptions provided herein, the HIPD 800 can use different sensor set 820 configurations and/or sensor set 820 placement.
In some embodiments, the HIPD 800 includes one or more haptic devices 871 (
The HIPD 800 is configured to operate without a display. However, in optional embodiments, the HIPD 800 can include a display 868 (
As described above, the HIPD 800 can distribute and/or provide instructions for performing the one or more tasks at the HIPD 800 and/or a communicatively coupled device. For example, the HIPD 800 can identify one or more back-end tasks to be performed by the HIPD 800 and one or more front-end tasks to be performed by a communicatively coupled device. While the HIPD 800 is configured to offload and/or hand off tasks of a communicatively coupled device, the HIPD 800 can perform both back-end and front-end tasks (e.g., via one or more processors, such as CPU 877;
The HIPD computing system 840 can include a processor (e.g., a CPU 877, a GPU, and/or a CPU with integrated graphics), a controller 875, a peripherals interface 850 that includes one or more sensors 851 and other peripheral devices, a power source (e.g., a power system 895), and memory (e.g., a memory 878) that includes an operating system (e.g., an operating system 879), data (e.g., data 888), one or more applications (e.g., applications 880), and one or more modules (e.g., a communications interface module 881, a graphics module 882, a task and processing management module 883, an interoperability module 884, an AR processing module 885, and/or a data management module 886). The HIPD computing system 840 further includes a power system 895 that includes a charger input and output 896, a PMIC 897, and a battery 898, all of which are defined above.
In some embodiments, the peripherals interface 850 can include one or more sensors 851. The sensors 851 can include analogous sensors to those described above in reference to
Analogous to the peripherals described above in reference to
Similar to the watch body computing system 660 and the watch band computing system 630 described above in reference to
Memory 878 can include high-speed random-access memory and/or non-volatile memory, such as one or more magnetic disk storage devices, flash memory devices, or other non-volatile solid-state memory devices. Access to the memory 878 by other components of the HIPD 800, such as the one or more processors and the peripherals interface 850, can be controlled by a memory controller of the controllers 875.
In some embodiments, software components stored in the memory 878 include one or more operating systems 879, one or more applications 880, one or more communication interface modules 881, one or more graphics modules 882, and one or more data management modules 885, which are analogous to the software components described above in reference to
In some embodiments, software components stored in the memory 878 include a task and processing management module 883 for identifying one or more front-end and back-end tasks associated with an operation performed by the user, performing one or more front-end and/or back-end tasks, and/or providing instructions to one or more communicatively coupled devices that cause performance of the one or more front-end and/or back-end tasks. In some embodiments, the task and processing management module 883 uses data 888 (e.g., device data 890) to distribute the one or more front-end and/or back-end tasks based on communicatively coupled devices' computing resources, available power, thermal headroom, ongoing operations, and/or other factors. For example, the task and processing management module 883 can cause the performance of one or more back-end tasks (of an operation performed at communicatively coupled AR device 700) at the HIPD 800 in accordance with a determination that the operation is utilizing a predetermined amount (e.g., at least 70%) of computing resources available at the AR device 700.
In some embodiments, software components stored in the memory 878 include an interoperability module 884 for exchanging and utilizing information received and/or provided to distinct communicatively coupled devices. The interoperability module 884 allows for different systems, devices, and/or applications to connect and communicate in a coordinated way without user input. In some embodiments, software components stored in the memory 878 include an AR module 885 that is configured to process signals based at least on sensor data for use in an AR and/or VR environment. For example, the AR processing module 885 can be used for 3D object manipulation, gesture recognition, facial expression and recognition, etc.
The memory 878 can also include data 888, including structured data. In some embodiments, the data 888 can include profile data 889, device data 889 (including device data of one or more devices communicatively coupled with the HIPD 800, such as device type, hardware, software, configurations, etc.), sensor data 891, media content data 892, application data 893, and power consumption data 894, which stores data related to the performance of the features described above in reference to
It should be appreciated that the HIPD computing system 840 is an example of a computing system within the HIPD 800, and that the HIPD 800 can have more or fewer components than shown in the HIPD computing system 840, combine two or more components, and/or have a different configuration and/or arrangement of the components. The various components shown in HIPD computing system 840 are implemented in hardware, software, firmware, or a combination thereof, including one or more signal processing and/or application-specific integrated circuits.
The techniques described above in
The smart textile-based garment 900 can be part of an AR system, such as AR system 500d described above in reference to
Non-limiting examples of the feedback determined by the smart textile-based garment 900 and/or a communicatively coupled device include visual feedback, audio feedback, haptic (e.g., tactile and/or kinesthetic) feedback, thermal or temperature feedback, and/or other sensory perceptible feedback. The smart textile-based garment 900 can include respective feedback devices (e.g., a haptic device or assembly 962 or other feedback devices or assemblies) to provide the feedback responses to the user. Similarly, the smart textile-based garment 900 can communicatively couple with another device (and/or the other device's feedback devices) to coordinate the feedback provided to the user. For example, a VR device 710 can present an AR environment to a user and as the user interacts with objects within the AR environment, such as a virtual cup, the smart textile-based garment 900 provides respective response to the user. In particular, the smart textile-based garment 900 can provide haptic feedback to prevent (or, at a minimum, hinder/resist movement of) one or more of the user's fingers from bending past a certain point to simulate the sensation of touching a solid cup and/or thermal feedback to simulate the sensation of a cold or warm beverage.
Additionally or alternatively, in some embodiments, the smart textile-based garment 900 is configured to operate as a controller configured to perform one or more functions or operations associated with interacting with user interfaces and applications of communicatively coupled devices, interacting with an AR environment, interacting with VR environment, and/or operating as a human-machine interface controller, as well as functions and/or operations described above with reference to
Due to the ever-changing nature of AR, the haptic assemblies 962 may be required to transition between the multiple states hundreds, or perhaps thousands of times, during a single use. Thus, the haptic assemblies 962 described herein are durable and designed to quickly transition from state to state. To provide some context, in a first pressurized state, the haptic assemblies 962 do not impede free movement of a portion of the wearer's body. For example, one or more haptic assemblies 962 incorporated into a glove are made from flexible materials that do not impede free movement of the wearer's hand and fingers (e.g., an electrostatic-zipping actuator). The haptic assemblies 962 are configured to conform to a shape of the portion of the wearer's body when in the first pressurized state. However, when in a second pressurized state, the haptic assemblies 962 can be configured to restrict and/or impede free movement of the portion of the wearer's body (e.g., appendages of the user's hand). For example, the respective haptic assembly 962 (or multiple respective haptic assemblies) can restrict movement of a wearer's finger (e.g., prevent the finger from curling or extending) when the haptic assembly 962 is in the second pressurized state. Moreover, when in the second pressurized state, the haptic assemblies 962 may take different shapes, with some haptic assemblies 962 configured to take a planar, rigid shape (e.g., flat and rigid), while some other haptic assemblies 962 are configured to curve or bend, at least partially.
The smart textile-based garment 900 can be one of a plurality of devices in an AR system (e.g., AR systems of
In some embodiments, the peripherals interface 950 can include one or more devices configured to be part of the computing system 940, many of which have been defined above and/or described with respect to wrist-wearable devices shown in
In some embodiments, each haptic assembly 962 includes a support structure 963 and at least one bladder 964. The bladder 964 (e.g., a membrane) is a sealed, inflatable pocket made from a durable and puncture-resistant material, such as thermoplastic polyurethane, a flexible polymer, or the like. The bladder 964 contains a medium (e.g., a fluid such as air, inert gas, or even a liquid) that can be added to or removed from the bladder 964 to change pressure (e.g., fluid pressure) inside the bladder 964. The support structure 963 is made from a material that is stronger and stiffer than the material of the bladder 964. A respective support structure 963 coupled to a respective bladder 964 is configured to reinforce the respective bladder 964 as the respective bladder changes shape and size due to changes in pressure (e.g., fluid pressure) inside the bladder. The above example haptic assembly 962 is non-limiting. The haptic assembly 962 can include eccentric rotating mass, linear resonant actuators, voice coil motor, piezo haptic actuator, thermoelectric devices, solenoid actuators, ultrasonic transducers, thermo-resistive heaters, Peltier devices, and/or other devices configured to generate a perceptible response.
The smart textile-based garment 900 also includes a haptic controller 976 and a pressure-changing device 967. Alternatively, in some embodiments, the computing system 940 is communicatively coupled with a haptic controller 976 and/or pressure-changing device 967 (e.g., in electronic communication with one or more processors 977 of the computing system 940). The haptic controller 976 is configured to control operation of the pressure-changing device 967, and in turn operation of the smart textile-based garments 900. For example, the haptic controller 976 sends one or more signals to the pressure-changing device 967 to activate the pressure-changing device 967 (e.g., turn it on and off). The one or more signals can specify a desired pressure (e.g., pounds per square inch) to be output by the pressure-changing device 967. Generation of the one or more signals, and in turn the pressure output by the pressure-changing device 967, can be based on information collected by sensors 951 of the smart textile-based garment 900 and/or other communicatively coupled device. For example, the haptic controller 976 can provide one or more signals, based on collected sensor data, to cause the pressure-changing device 967 to increase the pressure (e.g., fluid pressure) inside a first haptic assembly 962 at a first time, and provide one or more additional signals, based on additional sensor data, to the pressure-changing device 967, to cause the pressure-changing device 967 to further increase the pressure inside a second haptic assembly 962 at a second time after the first time. Further, the haptic controller 976 can provide one or more signals to cause the pressure-changing device 967 to inflate one or more bladders 964 in a first portion of a smart textile-based garment 900 (e.g., a first finger), while one or more bladders 964 in a second portion of the smart textile-based garment 900 (e.g., a second finger) remain unchanged. Additionally, the haptic controller 976 can provide one or more signals to cause the pressure-changing device 967 to inflate one or more bladders 964 in a first smart textile-based garment 900 to a first pressure and inflate one or more other bladders 964 in the first smart textile-based garment 900 to a second pressure different from the first pressure. Depending on the number of smart textile-based garments 900 serviced by the pressure-changing device 967, and the number of bladders therein, many different inflation configurations can be achieved through the one or more signals, and the examples above are not meant to be limiting.
The smart textile-based garment 900 may include an optional manifold 965 between the pressure-changing device 967, the haptic assemblies 962, and/or other portions of the smart textile-based garment 900. The manifold 965 may include one or more valves (not shown) that pneumatically couple each of the haptic assemblies 962 with the pressure-changing device 967 via tubing. In some embodiments, the manifold 965 is in communication with the controller 975, and the controller 975 controls the one or more valves of the manifold 965 (e.g., the controller generates one or more control signals). The manifold 965 is configured to switchably couple the pressure-changing device 967 with one or more haptic assemblies 962 of the smart textile-based garment 900. In some embodiments, one or more smart textile-based garments 900 or other haptic devices can be coupled in a network of haptic devices, and the manifold 965 can distribute the fluid between the coupled smart textile-based garments 900.
In some embodiments, instead of using the manifold 965 to pneumatically couple the pressure-changing device 967 with the haptic assemblies 962, the smart textile-based garment 900 may include multiple pressure-changing devices 967, where each pressure-changing device 967 is pneumatically coupled directly with a single (or multiple) haptic assembly 962. In some embodiments, the pressure-changing device 967 and the optional manifold 965 can be configured as part of one or more of the smart textile-based garments 900 (not illustrated) while, in other embodiments, the pressure-changing device 967 and the optional manifold 965 can be configured as external to the smart textile-based garments 900. In some embodiments, a single pressure-changing device 967 can be shared by multiple smart textile-based garments 900 or other haptic devices. In some embodiments, the pressure-changing device 967 is a pneumatic device, hydraulic device, a pneudraulic device, or some other device capable of adding and removing a medium (e.g., fluid, liquid, or gas) from the one or more haptic assemblies 962.
The memory 978 includes instructions and data, some or all of which may be stored as non-transitory computer-readable storage media within the memory 978. For example, the memory 978 can include one or more operating systems 979, one or more communication interface applications 981, one or more interoperability modules 984, one or more AR processing applications 985, one or more data-management modules 986, and/or any other types of data defined above or described with respect to
The memory 978 also includes data 988, which can be used in conjunction with one or more of the applications discussed above. The data 988 can include device data 990, sensor data 991, and power consumption data 994, which stores data related to the performance of the features described above in reference to
The different components of the computing system 940 (and the smart textile-based garment 900) shown in
Any data collection performed by the devices described herein and/or any devices configured to perform or cause the performance of the different embodiments described above in reference to any of the Figures, hereinafter the “devices,” is done with user consent and in a manner that is consistent with all applicable privacy laws. Users are given options to allow the devices to collect data, as well as the option to limit or deny collection of data by the devices. A user is able to opt in or opt out of any data collection at any time. Further, users are given the option to request the removal of any collected data.
It will be understood that, although the terms “first,” “second,” etc., may be used herein to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish one element from another.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the claims. As used in the description of the embodiments and the appended claims, the singular forms “a,” “an” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will also be understood that the term “and/or” as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items. It will be further understood that the terms “comprises” and/or “comprising,” when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
As used herein, the term “if” can be construed to mean “when” or “upon” or “in response to determining” or “in accordance with a determination” or “in response to detecting,” that a stated condition precedent is true, depending on the context. Similarly, the phrase “if it is determined [that a stated condition precedent is true]” or “if [a stated condition precedent is true]” or “when [a stated condition precedent is true]” can be construed to mean “upon determining” or “in response to determining” or “in accordance with a determination” or “upon detecting” or “in response to detecting” that the stated condition precedent is true, depending on the context.
The foregoing description, for purpose of explanation, has been described with reference to specific embodiments. However, the illustrative discussions above are not intended to be exhaustive or to limit the claims to the precise forms disclosed. Many modifications and variations are possible in view of the above teachings. The embodiments were chosen and described in order to best explain principles of operation and practical applications, to thereby enable others skilled in the art.
This application claims priority to U.S. Provisional App. No. 63/478,914 (filed Jan. 6, 2023), the disclosure of which is incorporated in its entirety by this reference.
| Number | Date | Country | |
|---|---|---|---|
| 63478914 | Jan 2023 | US |
