Patent Application
20240050831
Examples set forth in the present disclosure relate to the field of augmented reality (AR) experiences for electronic devices, including wearable devices such as eyewear. More particularly, but not by way of limitation, the present disclosure describes the presentation of virtual avatars using electronic eyewear devices that deliver AR tutorials and demonstrations, e.g., for posture-specific activities like yoga.
Many types of computers and electronic devices available today, such as mobile devices (e.g., smartphones, tablets, and laptops), handheld devices, and wearable devices (e.g., smart glasses, digital eyewear, headwear, headgear, and head-mounted displays), include a variety of cameras, sensors, wireless transceivers, input systems, and displays. Users sometimes refer to information on these devices during physical activities such as exercise.
Virtual reality (VR) technology generates a complete virtual environment including realistic images, sometimes presented on a VR headset or other head-mounted display. VR experiences allow a user to move through the virtual environment and interact with virtual objects. AR is a type of VR technology that combines real objects in a physical environment with virtual objects and displays the combination to a user. The combined display gives the impression that the virtual objects are authentically present in the environment, especially when the virtual objects appear and behave like the real objects. Cross reality (XR) is generally understood as an umbrella term referring to systems that include or combine elements from AR, VR, and MR (mixed reality) environments.
Automatic speech recognition (ASR) is a field of computer science, artificial intelligence, and linguistics which involves receiving spoken words and converting the spoken words into audio data suitable for processing by a computing device. Processed frames of audio data can be used to translate the received spoken words into text or to convert the spoken words into commands for controlling and interacting with various software applications. ASR processing may be used by computers, handheld devices, wearable devices, telephone systems, automobiles, and a wide variety of other devices to facilitate human-computer interactions.
Features of the various examples described will be readily understood from the following detailed description, in which reference is made to the figures. A reference numeral is used with each element in the description and throughout the several views of the drawing. When a plurality of similar elements is present, a single reference numeral may be assigned to like elements, with an added upper or lower-case letter referring to a specific element.
The various elements shown in the figures are not drawn to scale unless otherwise indicated. The dimensions of the various elements may be enlarged or reduced in the interest of clarity. The several figures depict one or more implementations and are presented by way of example only and should not be construed as limiting. Included in the drawing are the following figures:
An application enables users of electronic eyewear devices to bring workout sessions anywhere and have aspects of the workout sessions (e.g., proper form, number of repetitions) recorded automatically. It also allows users to have always-on visibility of their workout instructor so that they can, for example, continue to maintain a visual guide for their form/pose.
Various implementations and details are described with reference to examples for presenting a virtual exercise tutorial in an augmented reality environment. In an example implementation, a method includes presenting a primary avatar on a display of a wearable device at a fixed position relative to the physical environment, such as the place where a live instructor might stand to lead a group activity or class. Many activities like yoga, calisthenics, gymnastics, and dance involve changes in body posture (e.g., head pose, gaze direction), which make it difficult for a student to watch the primary avatar (or a live instructor). In another example implementation, the method includes presenting a secondary avatar on the display which is persistently viewable from any posture. The primary and secondary avatars are correlated to provide the same or similar demonstrations and tutorial content.
Another example implementation includes presenting a primary avatar at an instructor position on the display of an electronic eyewear device, capturing motion data with an inertial measurement unit (IMU), and estimating an electronic eyewear device location relative to the instructor position based on the motion data. Based on the estimated electronic eyewear device location, the method includes presenting a secondary avatar at a frame position relative to the display.
Another example implementation includes selectively presenting the secondary avatar based on the primary avatar's instructor position relative to the field of view of a camera coupled to the electronic eyewear device. In this example, the secondary avatar is presented when the electronic eyewear device location or the camera suggests the primary avatar is outside the field of view of the camera.
Another example implementation includes animating one or both avatars to perform a demonstration associated with an exercise activity. The demonstration elements include one or more poses, each associated with a pose lesson and a pose duration. This example method includes retrieving and controlling the demonstration elements using voice recognition.
Although the various systems and methods are described herein with reference to yoga, the technology described herein may be applied to essentially any type of motion or activity in which proper posture is desired. For example, proper posture is a desired feature of exercise activities like yoga, Pilates, calisthenics, isometrics, aerobics, weightlifting, swimming, and running. Proper posture is also desired for activities such as golf, martial arts, gymnastics, diving, physical therapy, ballet, and dance. Moreover, the technology described herein may be applied to any type of motion or activity that involves changes in body posture (e.g., especially changes in head pose and gaze direction) which make it difficult for a student to see a live instructor or other resource.
The following detailed description includes systems, methods, techniques, instruction sequences, and computer program products illustrative of examples set forth in the disclosure. Numerous details and examples are included for the purpose of providing a thorough understanding of the disclosed subject matter and its relevant teachings. Those skilled in the relevant art, however, may understand how to apply the relevant teachings without such details. Aspects of the disclosed subject matter are not limited to the specific devices, systems, and methods described because the relevant teachings can be applied or practiced in a variety of ways. The terminology and nomenclature used herein is for the purpose of describing particular aspects only and is not intended to be limiting. In general, well-known instruction instances, protocols, structures, and techniques are not necessarily shown in detail.
The term “connect,” “connected,” “couple,” and “coupled” as used herein refers to any logical, optical, physical, or electrical connection, including a link or the like by which the electrical or magnetic signals produced or supplied by one system element are imparted to another coupled or connected system element. Unless described otherwise, coupled, or connected elements or devices are not necessarily directly connected to one another and may be separated by intermediate components, elements, or communication media, one or more of which may modify, manipulate, or carry the electrical signals. The term “on” means directly supported by an element or indirectly supported by the element through another element integrated into or supported by the element.
The term “proximal” is used to describe an item or part of an item that is situated near, adjacent, or next to an object or person; or that is closer relative to other parts of the item, which may be described as “distal.” For example, the end of an item nearest an object may be referred to as the proximal end, whereas the generally opposing end may be referred to as the distal end.
The orientations of the electronic eyewear device, associated components and any complete devices incorporating an eye scanner and camera such as shown in any of the drawings, are given by way of example only, for illustration and discussion purposes. In operation for a particular variable optical processing application, the electronic eyewear device may be oriented in any other direction suitable to the particular application of the electronic eyewear device, for example up, down, sideways, or any other orientation. Also, to the extent used herein, any directional term, such as front, rear, inwards, outwards, towards, left, right, lateral, longitudinal, up, down, upper, lower, top, bottom and side, are used by way of example only, and are not limiting as to direction or orientation of any optic or component of an optic constructed as otherwise described herein.
Advanced AR technologies, such as computer vision and object tracking, may be used to produce a perceptually enriched and immersive experience. Computer vision algorithms extract three-dimensional data about the physical world from the data captured in digital images or video. Object recognition and tracking algorithms are used to detect an object in a digital image or video, estimate its orientation or pose, and track its movement over time. Hand and finger recognition and tracking in real time is a challenging and processing-intensive tasks in the field of computer vision.
In the context of computer vision, object recognition, and tracking, the term “pose” refers to the static position and orientation of an object at a particular instant in time. The term “gesture” refers to the active movement of an object, such as a hand, through a series of poses, sometimes to convey a signal or idea. The terms, pose and gesture, are sometimes used interchangeably in the field of computer vision and augmented reality. As used herein, the terms “pose” or “gesture” (or variations thereof) are intended to be inclusive of both poses and gestures; in other words, the use of one term does not exclude the other.
Additional objects, advantages and novel features of the examples will be set forth in part in the following description, and in part will become apparent to those skilled in the art upon examination of the following and the accompanying drawings or may be learned by production or operation of the examples. The objects and advantages of the present subject matter may be realized and attained by means of the methodologies, instrumentalities and combinations particularly pointed out in the appended claims.
In sample configurations, electronic eyewear devices with augmented reality (AR) capability are used in the systems described herein. Electronic eyewear devices are desirable to use in the system described herein as such devices are scalable, customizable to enable personalized experiences, enable effects to be applied anytime, anywhere, and ensure user privacy by enabling only the user to see the transmitted information. An electronic eyewear device such as SPECTACLES™ available from Snap, Inc. of Santa Monica, California, may be used without any specialized hardware in a sample configuration.
As shown in
The cameras 114 are sensitive to the visible-light range wavelength. Each of the cameras 114 define a different frontward facing field of view, which are overlapping to enable generation of 3D depth images; for example, a first camera 114A defines a first field of view 111A and a second camera 114B defines a second field of view 114B. Generally, a “field of view” is the part of the scene that is visible through the camera at a particular position and orientation in space. The fields of view 111 have an overlapping field of view 304 (
In an example configuration, one or both cameras 114 has a field of view of 100° and a resolution of 480×480 pixels. The “angle of coverage” describes the angle range that a lens of the cameras 114 can effectively image. Typically, the camera lens produces an image circle that is large enough to cover the film or sensor of the camera completely, possibly including some vignetting (e.g., a darkening of the image toward the edges when compared to the center). If the angle of coverage of the camera lens does not fill the sensor, the image circle will be visible, typically with strong vignetting toward the edge, and the effective angle of view will be limited to the angle of coverage.
Examples of suitable cameras 114 include a high-resolution complementary metal-oxide-semiconductor (CMOS) image sensor and a digital VGA camera (video graphics array) capable of resolutions of 480p (e.g., 640×480 pixels), 720p, 1080p, or greater. Other examples include cameras 114 that can capture high-definition (HD) video at a high frame rate (e.g., thirty to sixty frames per second, or more) and store the recording at a resolution of 1216 by 1216 pixels (or greater).
The electronic eyewear device 100 may capture image sensor data from the cameras 114 along with geolocation data, digitized by an image processor, for storage in a memory. The cameras 114 capture respective raw images (e.g., left and right raw images) in the two-dimensional space domain that comprise a matrix of pixels on a two-dimensional coordinate system that includes an X-axis for horizontal position and a Y-axis for vertical position. Each pixel includes a color attribute value (e.g., a red pixel light value, a green pixel light value, or a blue pixel light value); and a position attribute (e.g., an X-axis coordinate and a Y-axis coordinate).
In order to capture stereo images for later display as a 3D projection, the image processor 412 (
As shown in the example of
The right corner 110A includes corner body 190 and a corner cap, with the corner cap omitted in the cross-section of
The first camera 114A is coupled to or disposed on the flexible PCB 140A and is covered by a camera cover lens, which is aimed through opening(s) formed in the frame 105. For example, the right rim 107A of the frame 105, shown in
As shown in the example of
The left corner 110B includes corner body 190 and a corner cap, with the corner cap omitted in the cross-section of
The camera 114 are coupled to or disposed on respective flexible PCBs 140 and are covered by a camera cover lens, which is aimed through opening(s) formed in the frame 105. For example, as shown in
In the eyeglasses example, electronic eyewear device 100 includes a frame 105 including a right rim 107A connected to a left rim 107B via a bridge 106 configured to receive a nose of the user to support the electronic eyewear device 100 on the user's head. The right rim 107A include a first apertures 175A, which hold a first optical element 180, such as a lens and a display device. The left rim 107B include a second apertures 175B, which hold a second optical element 180B, such as a lens and a display device. As used herein, the term “lens” is meant to include transparent or translucent pieces of glass or plastic having curved or flat surfaces that cause light to converge or diverge or that cause little or no convergence or divergence.
A touch-sensitive input device, such as a touchpad 181 is positioned on the first temple 125A. As shown, the touchpad 181 may have a boundary that is plainly visible or includes a raised or otherwise tactile edge that provides feedback to the user about the location and boundary of the touchpad 181; alternatively, the boundary may be subtle and not easily seen or felt. The electronic eyewear device 100 may include a touchpad on the other side that operates independently or in conjunction with the touchpad 181.
The surface of the touchpad 181 is configured to detect finger touches, taps, and gestures (e.g., moving touches) for use with a graphical user interface (GUI) displayed by the electronic eyewear device, on an image display, to allow the user to navigate through and select menu options in an intuitive manner, which enhances and simplifies the user experience.
Detection of finger inputs on the touchpad 181 can enable several functions. For example, touching anywhere on the touchpad 181 may cause the GUI to display or highlight an item on the image display, which may be projected onto at least one of the optical assemblies 180. Tapping or double tapping on the touchpad 181 may select an item or icon. Sliding or swiping a finger in a particular direction (e.g., from front to back, back to front, up to down, or down to) may cause the items or icons to slide or scroll in a particular direction; for example, to move to a next item, icon, video, image, page, or slide. Sliding the finger in another direction may slide or scroll in the opposite direction; for example, to move to a previous item, icon, video, image, page, or slide. The touchpad 181 can be positioned essentially anywhere on the electronic eyewear device 100.
In one example, an identified finger gesture of a single tap on the touchpad 181, initiates selection or pressing of a GUI element in the image presented on the image display of the optical assembly 180. An adjustment to the image presented on the image display of the optical assembly 180 based on the identified finger gesture can be a primary action which selects or submits the GUI element on the image display of the optical assembly 180 for further display or execution.
The speaker 191 includes an electro-acoustic transducer that converts an electrical audio signal into a corresponding sound. The speaker 191 is controlled by one of the processors 422, 432 or by an audio processor 413 (
Although shown in
In one example, each image display of optical assembly 180 includes an integrated image display (e.g., a first display 182A and a second display 182B). As shown in
In one example, the optical layers 176A-N may include an LCD layer that is transparent (keeping the lens open) unless and until a voltage is applied which makes the layer opaque (closing or blocking the lens). The image processor 412 on the electronic eyewear device 100 may execute programming to apply the voltage to the LCD layer in order to produce an active shutter system, making the electronic eyewear device 100 suitable for viewing visual content when displayed as a 3D projection. Technologies other than LCD may be used for the active shutter mode, including other types of reactive layers that are responsive to a voltage or another type of input.
In another example, the image display device of optical assembly 180 has a display 182 that includes a projection image display as shown in
As the photons projected by the laser projector 150 travel across the lens of each optical assembly 180, the photons encounter the optical strips 155A-N. When a particular photon encounters a particular optical strip, the photon is either redirected toward the user's eye, or it passes to the next optical strip. A combination of modulation of laser projector 150, and modulation of optical strips, control specific photons or beams of light. In an example, a processor controls optical strips 155A-N by initiating mechanical, acoustic, or electromagnetic signals. Although shown as having two optical assemblies 180, the electronic eyewear device 100 can include other arrangements, such as a single or three optical assemblies, or each optical assembly 180 may have different arrangements depending on the application or intended user of the electronic eyewear device 100.
For the capture of stereo images, as illustrated in
The generated depth images are in the three-dimensional space domain and can comprise a matrix of vertices on a three-dimensional location coordinate system that includes an X axis for horizontal position (e.g., length), a Y axis for vertical position (e.g., height), and a Z axis for depth (e.g., distance). Each vertex may include a color attribute (e.g., a red pixel light value, a green pixel light value, or a blue pixel light value); a position attribute (e.g., an X location coordinate, a Y location coordinate, and a Z location coordinate); a texture attribute; a reflectance attribute; or a combination thereof. The texture attribute quantifies the perceived texture of the depth image, such as the spatial arrangement of color or intensities in a region of vertices of the depth image.
The electronic eyewear device 100 includes one or more cameras 114 that capture still images, video images, or both still and video images, as described herein. The cameras 114 may have a direct memory access (DMA) to high-speed circuitry 430 and function as a stereo camera. The cameras 114 may be used to capture initial-depth images that may be rendered into three-dimensional (3D) models that are texture-mapped images of a red, green, and blue (RGB) imaged scene. The device 100 may also include a depth sensor that uses infrared signals to estimate the position of objects relative to the device 100. The depth sensor in some examples includes one or more infrared emitter(s) and infrared camera(s) 410.
The electronic eyewear device 100 further includes two image displays of optical assemblies 180 (one associated with the right side 170A and one associated with the left side 170B). The electronic eyewear device 100 also includes an image display driver 442, an image processor 412, low-power circuitry 420, and high-speed circuitry 430. The image displays of optical assemblies 180 are for presenting images, including still images, video images, or still and video images. The image display driver 442 is coupled to the image displays of optical assemblies 180 in order to control the display of images.
The components shown in
As shown in
In some examples, the high-speed processor 432 executes an operating system such as a LINUX operating system or other such operating system of the electronic eyewear device 100 and the operating system is stored in memory 434 for execution. In addition to any other responsibilities, the high-speed processor 432 executes a software architecture for the electronic eyewear device 100 that is used to manage data transfers with high-speed wireless circuitry 436. In some examples, high-speed wireless circuitry 436 is configured to implement Institute of Electrical and Electronic Engineers (IEEE) 802.11 communication standards, also referred to herein as Wi-Fi. In other examples, other high-speed communications standards may be implemented by high-speed wireless circuitry 436.
The low-power circuitry 420 includes a low-power processor 422 and low-power wireless circuitry 424. The low-power wireless circuitry 424 and the high-speed wireless circuitry 436 of the electronic eyewear device 100 can include short-range transceivers (Bluetooth™ or Bluetooth Low-Energy (BLE)) and wireless wide, local, or wide-area network transceivers (e.g., cellular or Wi-Fi). Mobile device 401, including the transceivers communicating via the low-power wireless connection 425 and the high-speed wireless connection 437, may be implemented using details of the architecture of the electronic eyewear device 100, as can other elements of the network 495.
Memory 434 includes any storage device capable of storing various data and applications, including, among other things, camera data generated by the cameras 114A, 114B, the infrared camera(s) 410, the image processor 412, and images generated for display by the image display driver 442 on the image display of each optical assembly 180. Although the memory 434 is shown as integrated with high-speed circuitry 430, the memory 434 in other examples may be an independent, standalone element of the electronic eyewear device 100. In some such examples, electrical routing lines may provide a connection through a chip that includes the high-speed processor 432 from the image processor 412 or low-power processor 422 to the memory 434. In other examples, the high-speed processor 432 may manage addressing of memory 434 such that the low-power processor 422 will boot the high-speed processor 432 any time that a read or write operation involving memory 434 is to be performed.
As shown in
As shown in
The server system 498 may be one or more computing devices as part of a service or network computing system, for example, that include a processor, a memory, and network communication interface to communicate over the network 495 with an electronic eyewear device 100 and a mobile device 401.
The output components of the electronic eyewear device 100 include visual elements, such as the image displays associated with each lens or optical assembly 180 as described with reference to
The user input elements 491 of the electronic eyewear device 100 may include alphanumeric input components (e.g., a touch screen or touchpad 181 configured to receive alphanumeric input, a photo-optical keyboard, or other alphanumeric-configured elements), pointer-based input components (e.g., a mouse, a touchpad 181, a trackball, a joystick, a motion sensor, or other pointing instruments), tactile input components (e.g., a button switch, a touch screen or touchpad 181 that senses the location, force or location and force of touches or touch gestures, or other tactile-configured elements), and audio input components (e.g., a microphone 139), and the like. The mobile device 401 and the server system 498 may include alphanumeric, pointer-based, tactile, audio, and other input components.
In some examples, the electronic eyewear device 100 includes a collection of motion-sensing components referred to as an IMU 472. The motion-sensing components may be micro-electro-mechanical systems (MEMS) with microscopic moving parts, often small enough to be part of a microchip. The IMU 472 in some example configurations includes an accelerometer, a gyroscope, and a magnetometer. The accelerometer senses the linear acceleration of the device 100 (including the acceleration due to gravity) relative to three orthogonal axes (x, y, z). The gyroscope senses the angular velocity of the device 100 about three axes of rotation (pitch, roll, yaw). Together, the accelerometer and gyroscope can provide position, orientation, and motion data about the device relative to six axes (x, y, z, pitch, roll, yaw). The magnetometer, if present, senses the heading of the device 100 relative to magnetic north. The position of the device 100 may be determined by location sensors, such as a GPS unit, one or more transceivers to generate relative position coordinates, altitude sensors or barometers, and other orientation sensors. Such positioning system coordinates can also be received over the wireless connections 425, 437 from the mobile device 401 via the low-power wireless circuitry 424 or the high-speed wireless circuitry 436.
The IMU 472 may include or cooperate with a digital motion processor or programming that gathers the raw data from the components and compute a number of useful values about the position, orientation, and motion of the device 100. For example, the acceleration data gathered from the accelerometer can be integrated to obtain the velocity relative to each axis (x, y, z); and integrated again to obtain the position of the device 100 (in linear coordinates, x, y, and z). The angular velocity data from the gyroscope can be integrated to obtain the position of the device 100 (in spherical coordinates). The programming for computing these useful values may be stored in memory 434 and executed by the high-speed processor 432 of the electronic eyewear device 100.
The electronic eyewear device 100 may optionally include additional peripheral sensors, such as biometric sensors, specialty sensors, or display elements integrated with electronic eyewear device 100. For example, peripheral device elements may include any I/O components including output components, motion components, position components, or any other such elements described herein. For example, the biometric sensors may include components to detect expressions (e.g., hand expressions, facial expressions, vocal expressions, body gestures, or eye tracking), to measure bio signals (e.g., blood pressure, heart rate, body temperature, perspiration, or brain waves), or to identify a person (e.g., identification based on voice, retina, facial characteristics, fingerprints, or electrical bio signals such as electroencephalogram data), and the like.
The mobile device 401 may be a smartphone, tablet, laptop computer, access point, or any other such device capable of connecting with electronic eyewear device 100 using both a low-power wireless connection 425 and a high-speed wireless connection 437. Mobile device 401 is connected to server system 498 and network 495. The network 495 may include any combination of wired and wireless connections.
The demonstration system 400, as shown in
In some implementations, the demonstration system 400 includes a demonstration application 910, a localization system 915, an image processing system 920, a voice recognition module 925, and an animation engine 930.
The demonstration application 910 in some implementations presents a primary avatar 710 and a secondary avatar 720 on the display 182, as described herein.
The localization system 915 in some implementations obtains localization data for use in determining the position of the electronic eyewear device 100 relative to the physical environment. For example, the localization system 915 may access the frames of motion data 902 captured by the IMU 472 to determine the electronic eyewear device location 840 in three-dimensional coordinates relative to the physical environment (with or without reference to data from other sources, such as still images or video data). As used herein, the term ‘frames of motion data’ refers to the motion data captured by the IMU 472, including motion data captured by any sensor component of the IMU in any form and at any sample rate. In this context, the term ‘frames’ refers to and is based on the characteristic that motion data is captured periodically and is not intended to be limiting. In some implementations, the localization data may be derived from a series of images captured by at least one camera 114A, from the frames of motion data 902 captured by the IMU 472, from data gathered by a GPS unit, or from a combination thereof.
The image processing system 920 in some implementations presents virtual or graphical elements (e.g., avatars, performing poses, as described herein) on a display of a respective optical assembly 180, in cooperation with the image display driver 442 and the image processor 412.
The voice recognition module 925 in some implementations receives human speech, converts the received speech into frames of audio data 905, identifies an inquiry or a request based on the audio data 905, and executes an action that is correlated with and responsive to the identified inquiry or request.
The animation engine 930 in some implementations renders avatars, as described herein, for presentation on a display 182. Predefined and configurable images and animations are accessible over the network 495 and, in some implementations, are stored in the activity library 480 described herein.
The mobile device 401 may include a camera 570 that comprises at least two cameras (e.g., first and second visible-light cameras with overlapping fields of view) or at least one camera and a depth sensor with substantially overlapping fields of view. Flash memory 540A may further include multiple images or video, which are generated via the camera 570.
As shown, the mobile device 401 includes an image display 580, a mobile display driver 582 to control the image display 580, and a display controller 584. In the example of
Examples of touchscreen-type mobile devices that may be used include (but are not limited to) a smart phone, a personal digital assistant (PDA), a tablet computer, a laptop computer, or other portable device. However, the structure and operation of the touchscreen-type devices is provided by way of example; the subject technology as described herein is not intended to be limited thereto. For purposes of this discussion,
As shown in
To generate location coordinates for positioning of the mobile device 401, the mobile device 401 can include a global positioning system (GPS) receiver. Alternatively, or additionally the mobile device 401 can utilize either or both the short range XCVRs 520 and WWAN XCVRs 510 for generating location coordinates for positioning. For example, cellular network, Wi-Fi, or Bluetooth™ based positioning systems can generate accurate location coordinates, particularly when used in combination. Such location coordinates can be transmitted to the electronic eyewear device over one or more network connections via XCVRs 510, 520.
The mobile device 401 in some examples includes a collection of motion-sensing components referred to as an inertial measurement unit (IMU) 572 for sensing the position, orientation, and motion of the mobile device 401. The motion-sensing components may be micro-electro-mechanical systems (MEMS) with microscopic moving parts, often small enough to be part of a microchip. The inertial measurement unit (IMU) 572 in some example configurations includes an accelerometer, a gyroscope, and a magnetometer. The accelerometer senses the linear acceleration of the mobile device 401 (including the acceleration due to gravity) relative to three orthogonal axes (x, y, z). The gyroscope senses the angular velocity of the mobile device 401 about three axes of rotation (pitch, roll, yaw). Together, the accelerometer and gyroscope can provide position, orientation, and motion data about the device relative to six axes (x, y, z, pitch, roll, yaw). The magnetometer, if present, senses the heading of the mobile device 401 relative to magnetic north.
The IMU 572 may include or cooperate with a digital motion processor or programming that gathers the raw data from the components and compute a number of useful values about the position, orientation, and motion of the mobile device 401. For example, the acceleration data gathered from the accelerometer can be integrated to obtain the velocity relative to each axis (x, y, z); and integrated again to obtain the position of the mobile device 401 (in linear coordinates, x, y, and z). The angular velocity data from the gyroscope can be integrated to obtain the position of the mobile device 401 (in spherical coordinates). The programming for computing these useful values may be stored in on or more memory elements 540A, 540B, 540C and executed by the CPU 540 of the mobile device 401.
The transceivers 510, 520 (i.e., the network communication interface) conforms to one or more of the various digital wireless communication standards utilized by modern mobile networks. Examples of WWAN transceivers 510 include (but are not limited to) transceivers configured to operate in accordance with Code Division Multiple Access (CDMA) and 3rd Generation Partnership Project (3GPP) network technologies including, for example and without limitation, 3GPP type 2 (or 3GPP2) and LTE, at times referred to as “4G.” For example, the transceivers 510, 520 provide two-way wireless communication of information including digitized audio signals, still image and video signals, web page information for display as well as web-related inputs, and various types of mobile message communications to/from the mobile device 401.
The mobile device 401 further includes a microprocessor that functions as a central processing unit (CPU); shown as CPU 540 in
The CPU 540 serves as a programmable host controller for the mobile device 401 by configuring the mobile device 401 to perform various operations, for example, in accordance with instructions or programming executable by CPU 540. For example, such operations may include various general operations of the mobile device, as well as operations related to the programming for applications on the mobile device. Although a processor may be configured by use of hardwired logic, typical processors in mobile devices are general processing circuits configured by execution of programming.
The mobile device 401 includes a memory or storage system, for storing programming and data. In the example, the memory system may include a flash memory 540A, a random-access memory (RAM) 540B, and other memory components 540C, as needed. The RAM 540B serves as short-term storage for instructions and data being handled by the CPU 540, e.g., as a working data processing memory. The flash memory 540A typically provides longer-term storage.
Hence, in the example of mobile device 401, the flash memory 540A is used to store programming or instructions for execution by the CPU 540. Depending on the type of device, the mobile device 401 stores and runs a mobile operating system through which specific applications are executed. Examples of mobile operating systems include Google Android, Apple iOS (for iPhone or iPad devices), Windows Mobile, Amazon Fire OS, RIM BlackBerry OS, or the like.
The processor 432 within the electronic eyewear device 100 may construct a map of the environment surrounding the electronic eyewear device 100, determine a location of the electronic eyewear device within the map of the environment, and determine a relative position of the electronic eyewear device to one or more objects in the mapped environment. The processor 432 may construct the map and determine location and position information using a simultaneous localization and mapping (SLAM) algorithm applied to data received from one or more sensors. Sensor data includes images received from one or both of the cameras 114A, 114B, distance(s) received from a laser range finder, position information received from a GPS unit, motion and acceleration data received from an IMU 572, or a combination of data from such sensors, or from other sensors that provide data useful in determining positional information. In the context of augmented reality, a SLAM algorithm is used to construct and update a map of an environment, while simultaneously tracking and updating the location of a device (or a user) within the mapped environment. The mathematical solution can be approximated using various statistical methods, such as particle filters, Kalman filters, extended Kalman filters, and covariance intersection. In a system that includes a high-definition (HD) video camera that captures video at a high frame rate (e.g., thirty frames per second), the SLAM algorithm updates the map and the location of objects at least as frequently as the frame rate; in other words, calculating and updating the mapping and localization thirty times per second.
Sensor data includes image(s) received from one or both cameras 114A, 114B, distance(s) received from a laser range finder, position information received from a GPS unit, motion and acceleration data received from an IMU 472, or a combination of data from such sensors, or from other sensors that provide data useful in determining positional information.
The localization system 915 in some examples includes a virtual marker 610a associated with a virtual object 608 in the physical environment 600. In an augmented reality environment, in some implementations, markers are registered at locations in the physical environment 600 to assist electronic devices with the task of tracking and updating the location of users, devices, and objects (virtual and physical) relative to the physical environment. Markers are sometimes registered to a high-contrast physical object, such as the relatively dark object, such as the framed picture 604a, mounted on a lighter-colored wall, to assist cameras and other sensors with the task of detecting the marker. The markers may be assigned and registered in a memory by the electronic eyewear device 100 operating within the environment. In some implementations, the markers are assigned and registered in the memory of other devices in the network.
The localization system 915 tracks physical objects and virtual objects within the physical environment 600 relative to the electronic eyewear device 100. For a physical object 604 (e.g., safe 604c) the localization system 915 continuously analyzes captured images of the physical environment 600 to identify the object 604 and to determine its location relative to the electronic eyewear device 100 (e.g., by applying a SLAM algorithm). The localization system 915 maintains and updates the determined location information for the physical object 604 in memory, thereby tracking the physical object 604 as the electronic eyewear device 100 moves through the physical environment 600. For a virtual object 608 (e.g., key) the localization system 915 establishes or designates an initial location for the virtual object 608 corresponding to a location or a physical object 604 in the environment 600 (or, in some implementations, at a location relative to the electronic eyewear device 100). The localization system 915 maintains and updates the virtual object 608 location information, for example, in accordance with a movement (e.g., bouncing, rotating, flashing) associated with the virtual object 608, in response to movement of the electronic eyewear device 100 through the environment, or a combination thereof, thereby tracking the virtual object 608 as the electronic eyewear device 100 moves through the environment.
Markers can be encoded with or otherwise linked to information. A marker might include position information, a physical code (such as a bar code or a QR code; either visible to the user or hidden), or a combination thereof. A set of data associated with the marker is stored in the memory 434 of the electronic eyewear device 100. The set of data includes information about the marker 610a, the marker's position (location and orientation), one or more virtual objects, or a combination thereof. The marker position may include three-dimensional coordinates for one or more marker landmarks 616a, such as the corner of the generally rectangular marker 610a shown in
In one example, the marker 610a may be registered in memory as being located near and associated with a physical object 604a (e.g., the framed work of art shown in
The demonstration application 910 described herein, in some implementations, starts in response to receiving a selection through a user interface (e.g., selecting from a menu, pressing a button, using a touchpad) or through some other input means (e.g., hand gesture, motion of a finger touch 681 on the touch pad 181, voice command).
Block 822 in
In a related aspect, as shown in
Block 824 describes an example step of capturing frames of motion data 902 with the IMU 472 of an electronic eyewear device 100. In some implementations, the process of capturing frames of motion data 902 is ongoing during active use of the electronic eyewear device 100. In other examples, the process of capturing starts in response to receiving a selection through a user interface or through some other input means. The example method, at block 824, in some implementations, includes storing the captured frames of motion data 902 in memory 434 on the electronic eyewear device 100, at least temporarily, such that the frames of motion data 902 are available for analysis.
Block 826 describes an example step of estimating the electronic eyewear device location 840 relative to the instructor position 715 (e.g., where the primary avatar 710 is presented). After the process of presenting the primary avatar 710 at the instructor position 715, the electronic eyewear device 100, of course, moves through the physical environment 600 and changes its location relative to the instructor position 715. The current electronic eyewear device location 840 in some implementations is estimated using the localization system 915 as described herein (e.g., in paragraphs 83-84, 103-04).
The localization system 915 on the electronic eyewear device 100 in some implementations configures the processor 432 of the electronic eyewear device 100 to obtain localization data based on the captured frames of motion data 902 gathered by the IMU 472. In some implementations, the localization system 915 constructs a virtual map of various elements within the camera field of view 904 using a SLAM algorithm, as described herein, updating the map and the location of objects at least as frequently as the IMU 472 captures motion data. In some implementations, the IMU 472 is capable of capturing motion data at high sample rates (e.g., 100 hertz (samples per second), 720 Hz, 1024 Hz, 1344 Hz, 3200 Hz, or higher). Frequent measurements facilitate the detection and analysis of relatively subtle motions of the electronic eyewear device 100 over time, relative to the primary avatar 710 and the instructor position 715.
The step of estimating the electronic eyewear device location 840 relative to the instructor position 715 in some implementations includes calculating a correlation between the instructor position 715 and the current electronic eyewear device location 840. The term correlation refers to and includes one or more vectors, matrices, formulas, or other mathematical expressions sufficient to define the three-dimensional distance between the instructor position 715 and the current electronic eyewear device location 840. The current electronic eyewear device location 840 is coupled to the three-dimensional position and orientation (e.g., head pose, gaze direction) of the display 182 because the display 182 is supported by the frame of the electronic eyewear device 100. In this aspect, the process of correlation performs the function of calibrating the motion of the electronic eyewear device 100 with the instructor position 715. Because the localization process occurs continually, the process of correlation between the eyewear device location 840 and the instructor position 715 produces accurate and near real-time tracking of the current electronic eyewear device location 840 relative to the instructor position 715.
In some implementations, the process of estimating the current electronic eyewear device location 840 is based on the frames of motion data 902 captured by the IMU 472, or on the frames of video data 900 captured by a camera 114A coupled to the electronic eyewear device 100, or a combination of both. The process of estimating the current electronic eyewear device location 840 in some implementations is executed about as frequently as the IMU 472 captures motion data (e.g., one hundred times per second, based on an IMU sample rate of 100 Hz (samples per second)). In some implementations, the process of estimating the current electronic eyewear device location 840 occurs at a predefined and configurable frequency, and the IMU 472 is configured to captured frames of motion data 902 at a compatible rate.
Block 828 describes an example step of presenting a secondary avatar 720 on the display 182 based on the current electronic eyewear device location 840. The secondary avatar 720 is presented at a frame position 725 relative to the display 182. The frame position 725 in some implementations is generally fixed so that it appears at the same position on the display 182, without regard to the surrounding physical environment 600 or the motion of the electronic eyewear device 100 through the environment. The frame position 725 in some implementations includes a frame or window surrounding the secondary avatar 720, as shown in
The secondary avatar 720 in some implementations is persistently correlated with the primary avatar 710, such that both avatars 710, 720 are performing the same or similar demonstration and lessons, as described herein. As used herein, the term “persistently correlated” refers to and means that the avatars 710, 720 are almost always performing the same or similar demonstration (e.g., exhibiting the same or similar pose), by and through the same or similar type of avatar (e.g., a fully-rendered three-dimensional character as the primary avatar 710 and a corresponding two-dimensional stick figure as the secondary avatar 720), on a nearly continual basis (e.g., almost always correlated in time and generally without interruption or deviation).
The student's apparent ability to see the primary avatar 710, in this example step, can be estimated based on the current electronic eyewear device location 840. For example, if the current electronic eyewear device location 840 suggests the student is facing away from the primary avatar 710, the demonstration system 400 is configured to determine that the primary avatar 710 is likely not viewable from the perspective of the wearer or student. The current electronic eyewear device location 840 includes, in three dimensions, information about both the position (e.g., location in the room) and the orientation (e.g., facing forward, left or right, up or down) of the electronic eyewear device 100. For example, the orientation data from the electronic eyewear device location 840 will indicate that the student wearing the electronic eyewear device 100 is in a generally face-down posture, as shown in
The student's apparent ability to see the primary avatar 710, in some implementations, is based on the position and orientation of the electronic eyewear device 100 (in other words, the direction the wearer is facing) as well as the field of view 904 of a camera 114A on the electronic eyewear device 100. In some implementations, the electronic eyewear device 100 stores the captured frames of video data 900 with at least one camera 114A as the wearer moves through a physical environment 600. As described herein and shown in
Block 830 describes an example step of selectively presenting the secondary avatar 720 based on the instructor position 715 (of the primary avatar 710) relative to the field of view 904 of the camera 114B. In this context, the term selectively means the secondary avatar 720 is presented under certain conditions, such as when the system determines that the primary avatar 710 is likely not viewable by the student or wearer of the electronic eyewear device 100. In this example, if the location and orientation of the electronic eyewear device 100 is not directed toward the instructor position 715 (e.g., the wearer is looking elsewhere) or the instructor position 715 is otherwise outside the field of view 904 (e.g., indicated that the primary avatar 710 is not readily viewable through the display 182), then the system selectively presents the secondary avatar 720 on the display 182. The presentation is selective in that the secondary avatar 720 is only presented when (and, in some implementations, only for as long as) an evaluation of the field of view 904 suggests that the primary avatar 710 is not readily viewable through the display 182. In this aspect, the current status of the field of view 904 is determined by the current eyewear device location 840 (e.g., both the position and the orientation of the eyewear device 100). For example, if the current eyewear device location 840 indicates that the electronic eyewear device 100 is directed toward the floor, as shown in
Block 832 describes an example step of retrieving a demonstration 760 associated with an exercise activity 850. Block 834 describes an example step of animating the avatars 710, 720 to perform the demonstration 760.
Predefined and configurable demonstrations 760 in some implementations are accessible over the network 495 or are stored in the activity library 480 described herein. The demonstration 760 is associated with a particular exercise activity 850, such as yoga, Pilates, calisthenics, isometrics, aerobics, weightlifting, swimming, and running. The exercise activity 850 in some implementation includes any activity in which proper posture is desired, including activities like golf, martial arts, gymnastics, diving, physical therapy, ballet, and dance.
The demonstration 760 in some implementations comprises one or more poses 762, each associated with a pose lesson 764 and a pose duration 766. In the context of demonstrations, the term “pose” refers to and includes an avatar (e.g., a stick figure, line drawing, or 3D character) demonstrating the proper or desired body postures related to an exercise or activity, such as yoga, calisthenics, golf, physical therapy, or dance. A pose 762 may be a single still image or an animated three-dimensional demonstration. An exercise activity 850, from golf to ballet, can be analyzed in terms of a series or sequence of poses. A pose lesson 764 may be provided with one or more of the poses 762 during the demonstration 760. The term ‘pose lesson’ as used herein refers to and includes one or more guidelines or instructions associated with a particular pose, presented for example as an alphanumeric message, an audio message, an audio-visual presentation, or a combination thereof.
In the example context of yoga, a demonstration 760 for a yoga class typically includes a series of poses 762, each associated with a pose lesson 764 and lasting for a suggested pose duration 766 (e.g., a first pose lasts thirty seconds). The process in some implementations includes presenting a time counter 770 associated with the pose duration 766, in any of a variety of timing, graphics, and formats (e.g., elapsed time, countdown). For example,
Block 834 describes an example step of animating the avatars 710, 720 to perform the demonstration 760. The process of animating in some implementations is controlled and driven by an animation engine 930 in cooperation with the image display driver 442 and an image processor 412 of the electronic eyewear device 100. Predefined and configurable avatars, in some implementations, are accessible over the network 495 or may be retrieved from the activity library 480 described herein. As used herein, the term animating means and includes rendering or otherwise preparing an avatar for presentation on a display. The term avatar means and includes any of a variety of representational figures, from simple line drawings or stick figures to complex, interactive, three-dimensional characters. The example process of animating is discussed with reference to the primary avatar 710 and applies equally to the secondary avatar 720. The process of animating the secondary avatar 720 in some implementations involves the same or similar techniques as animating the primary avatar 710 because, as described herein, the secondary avatar 720 is persistently correlated with the primary avatar 710.
The example process of animating the primary avatar 710 in some implementations includes animating the primary avatar 710 to perform the one or more poses 762 of the demonstration 760 for at least part of the pose duration 766 associated with each pose. For a particular demonstration 760, the poses 762 may be generally static (e.g., holding a yoga pose, addressing the ball in golf) or actively dynamic (e.g., flexion/extension of the knee, jumping rope). Many demonstrations 760 include particular movements during the transition between poses 762 (e.g., moving between ballet positions, moving from one yoga pose to the next). In this aspect, a pose 762 in some implementations includes the poses and postures performed across an entire activity or exercise, including movements that might be described as transitions. In some implementations, a transition itself is defined as a separate and distinct pose 762, having its own associated pose lesson 764 and pose duration 766.
Block 836 describes an example step of presenting a pose lesson 764 in correlation with one or more poses 762. The pose lesson 764 in some implementations is presented on the display 182 at or near the beginning of the presentation of the associated pose 762, at any particular time during the pose 762, or for the enter pose duration 766. For example, a pose lesson 764 may begin with a starting message and include intermediate messages presented at pre-defined moments during the pose 762.
The pose lesson 764 in some implementations includes an alphanumeric message 712 or an audio message 714, or both. For example,
The pose lesson 764 in some implementations includes an audio message 714, by itself or in conjunction with an alphanumeric message. The audio message 714 in some implementations is played through a speaker in the physical environment 600 or through a speaker 191 that is part of or coupled to the electronic eyewear device 100. For example,
Block 838 describes an example step of using voice commands to retrieve and otherwise activate a demonstration 760. The electronic eyewear device 100 in some implementations includes a voice recognition module 925, as described herein, and a microphone 139 coupled to a speaker 191. The voice recognition module 925 in some implementations configures the processor 432 to perceive human speech, convert the received speech into frames of audio data 905, identify a first inquiry 860 based on converted frames of audio data 905, and perform an action in response to and in accordance with the identified first inquiry 860. For example, the human speech may include a verbal command (e.g., “Start morning yoga,” “Get shoulder rotation therapy routine”) and the identified first inquiry 860 causes the demonstration application 910 to retrieve a demonstration 760 from a resource over the network 495 or from the activity library 480 described herein.
The detected speech may originate from any person or source (e.g., a recording) within a detecting proximity of the microphone 139. For example,
Block 839 describes an example step of executing an action 812 in response to a subsequent inquiry 862. In this example process, the voice recognition module 925 identifies a subsequent inquiry 862 based on converted frames of audio data 905, detects a request 810 based on the subsequent inquiry 862, and execute an action 812 relative to the demonstration 760 in accordance with the detected request 810.
The action 812 in some implementations is applied to any part or segment of a demonstration 760, including one or more of the poses 762, pose lesson 764 (e.g., text, audio), and pose durations 766. For example, a subsequent inquiry 862 (e.g., “Show that again”) and the detected request 810 (e.g., Repeat) processed during a particular pose (e.g., Warrior Three in yoga) may result in a corresponding action 812 (e.g., repeating the demonstration 760 associated with the particular pose). In some implementations, the subsequent inquiry 862 and the detected request 810 include progress control commands (e.g., play, pause, resume, repeat, stop, skip, go back) and the resulting action 812 allows the user to control the progress of the demonstration 760.
Similar to the first inquiry 860, the subsequent inquiry 862 may originate from any source or person (e.g., student or instructor 50) within a detecting proximity of the microphone 139. In this aspect, either the student or the instructor can utter a voice command as part of the process of controlling the process of a demonstration 760. For example, a live instructor 50 might observe a student and determine that she would benefit from hearing a pose lesson 764 or repeating a particular pose. The live instructor 50, of course, may offer verbal instructions apart from or in addition to the virtual demonstration 760. In this aspect, the demonstration 760 and a live instructor 50 may cooperate to deliver a tutorial.
Although the various systems and methods are described herein with reference to pose-specific exercises and activities such as yoga, the technology described may be applied to demonstrating the proper performance of any of a variety of experiences and activities involving motion in a physical environment.
Any of the functionality described herein for the electronic eyewear device 100, the mobile device 401, and the server system 498 can be embodied in one or more computer software applications or sets of programming instructions, as described herein. According to some examples, “function,” “functions,” “application,” “applications,” “instruction,” “instructions,” or “programming” are program(s) that execute functions defined in the programs. Various programming languages can be employed to develop one or more of the applications, structured in a variety of manners, such as object-oriented programming languages (e.g., Objective-C, Java, or C++) or procedural programming languages (e.g., C or assembly language). In a specific example, a third-party application (e.g., an application developed using the ANDROID™ or IOS™ software development kit (SDK) by an entity other than the vendor of the particular platform) may include mobile software running on a mobile operating system such as IOS™, ANDROID™, WINDOWS® Phone, or another mobile operating system. In this example, the third-party application can invoke API calls provided by the operating system to facilitate functionality described herein.
Hence, a machine-readable medium may take many forms of tangible/non-transitory storage medium. Non-volatile storage media include, for example, optical or magnetic disks, such as any of the storage devices in any computer devices or the like, such as may be used to implement the client device, media gateway, transcoder, etc. shown in the drawings. Volatile storage media include dynamic memory, such as main memory of such a computer platform. Tangible transmission media include coaxial cables; copper wire and fiber optics, including the wires that comprise a bus within a computer system. Carrier-wave transmission media may take the form of electric or electromagnetic signals, or acoustic or light waves such as those generated during radio frequency (RF) and infrared (IR) data communications. Common forms of computer-readable media therefore include for example: a floppy disk, a flexible disk, hard disk, magnetic tape, any other magnetic medium, a CD-ROM, DVD or DVD-ROM, any other optical medium, punch cards paper tape, any other physical storage medium with patterns of holes, a RAM, a PROM and EPROM, a FLASH-EPROM, any other memory chip or cartridge, a carrier wave transporting data or instructions, cables or links transporting such a carrier wave, or any other medium from which a computer may read programming code or data. Many of these forms of computer readable media may be involved in carrying one or more sequences of one or more instructions/program code to a processor for execution.
Except as stated immediately above, nothing that has been stated or illustrated is intended or should be interpreted to cause a dedication of any component, step, feature, object, benefit, advantage, or equivalent to the public, regardless of whether it is or is not recited in the claims.
It will be understood that the terms and expressions used herein have the ordinary meaning as is accorded to such terms and expressions with respect to their corresponding respective areas of inquiry and study except where specific meanings have otherwise been set forth herein. Relational terms such as first and second and the like may be used solely to distinguish one entity or action from another without necessarily requiring or implying any actual such relationship or order between such entities or actions. The terms “comprises,” “comprising,” “includes,” “including,” or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises or includes a list of elements or steps does not include only those elements or steps but may include other elements or steps not expressly listed or inherent to such process, method, article, or apparatus. An element preceded by “a” or “an” does not, without further constraints, preclude the existence of additional identical elements in the process, method, article, or apparatus that comprises the element.
Unless otherwise stated, any and all measurements, values, ratings, positions, magnitudes, sizes, and other specifications that are set forth in this specification, including in the claims that follow, are approximate, not exact. Such amounts are intended to have a reasonable range that is consistent with the functions to which they relate and with what is customary in the art to which they pertain. For example, unless expressly stated otherwise, a parameter value or the like may vary by as much as plus or minus ten percent from the stated amount or range.
In addition, in the foregoing Detailed Description, it can be seen that various features are grouped together in various examples for the purpose of streamlining the disclosure. This method of disclosure is not to be interpreted as reflecting an intention that the claimed examples require more features than are expressly recited in each claim. Rather, as the following claims reflect, the subject matter to be protected lies in less than all features of any single disclosed example. Thus, the following claims are hereby incorporated into the Detailed Description, with each claim standing on its own as a separately claimed subject matter.
While the foregoing has described what are considered to be the best mode and other examples, it is understood that various modifications may be made therein and that the subject matter disclosed herein may be implemented in various forms and examples, and that they may be applied in numerous applications, only some of which have been described herein. It is intended by the following claims to claim any and all modifications and variations that fall within the true scope of the present concepts.
This application claims priority to U.S. Application Ser. No. 63/396,643 filed on Aug. 10, 2022, the contents of which are incorporated fully herein by reference.
| Number | Date | Country | |
|---|---|---|---|
| 63396643 | Aug 2022 | US |
