Patent Application
20230315383
The present disclosure relates generally to wearable devices with display systems. Specifically, the present disclosure addresses systems and methods for voice-based control of augmented reality wearable devices.
A wearable device may be implemented with a transparent or semi-transparent display through which a user of the wearable device can view the surrounding environment. Such devices enable a user to see through the transparent or semi-transparent display to view the surrounding environment, and to also see objects (e.g., virtual objects such as images, video, text, etc.) that are generated for display to appear as a part of, and/or overlaid upon, the surrounding environment.
To easily identify the discussion of any particular element or act, the most significant digit or digits in a reference number refer to the figure number in which that element is first introduced.
The description that follows describes systems, methods, techniques, instruction sequences, and computing machine program products that illustrate examples of the present subject matter. In the following description, for purposes of explanation, numerous specific details are set forth in order to provide an understanding of various examples of the present subject matter. It will be evident, however, to those skilled in the art, that examples of the present subject matter may be practiced without some or other of these specific details. Examples merely typify possible variations. Unless explicitly stated otherwise, structures (e.g., structural Components such as modules) are optional and may be combined or subdivided, and operations (e.g., in a procedure, algorithm, or other function) may vary in sequence or be combined or subdivided.
An AR wearable device implemented with a transparent or semi-transparent display enables a user to see through the transparent or semi-transparent display to view the surrounding environment. In addition, the AR wearable device may enable the user to see objects (e.g., virtual objects such as images, video, text) that are rendered in the display of the AR wearable device to appear as a part of, and/or overlaid upon, the surrounding environment. Such an AR wearable device may provide an augmented reality experience for the user.
The rendering of the virtual object may be based on a position of the wearable device relative to a physical object or relative to a frame of reference (external to the wearable device) so that the virtual object correctly appears in the display. The virtual object appears aligned with a physical object as perceived by the user of the AR wearable device. Graphics (e.g., graphical elements containing instructions and guides) appear to be attached to a physical object of interest. In order to do this, the AR wearable device detects the physical object and tracks a pose of the AR wearable device relative to a position of the physical object. A pose identifies a position and orientation of the object relative to a frame of reference or relative to another object.
Typical systems allow users to interact with AR wearable devices to place virtual objects by performing various hand gestures or physically touching buttons on the AR wearable devices. The detection of hand gestures to place virtual objects consumes a great deal of resources and is also not always accurate. This results in unrealistic interaction and placement of the virtual objects and can force a user to repeat the hand gestures. The hand gestures again need to be processed which again consumes system resources. The repeated processing of hand gestures to place a virtual object in a real-world environment can end up reducing the battery life and slows down the operation of the AR wearable device which detracts from the overall use and enjoyment of the AR wearable device. In some cases, physical buttons can be selected to place virtual objects in a real-world environment. However, the selection of the physical buttons also does not inform the system on the exact location and placement of the virtual objects which also consumes system resources and takes away from the use and enjoyment of the AR wearable device. Such typical systems do not provide a means to seamlessly connect between virtual objects and real-world objects that are viewed through the AR wearable devices.
The disclosed system and methods include operations for providing an AR wearable device (e.g., smart eyeglasses or electronic eyeglasses) that enables a user to seamlessly interact with virtual objects in a real-world environment. Specifically, the disclosed techniques provide a visual indicator of a target location within a real-world environment. The disclosed techniques can receive verbal or voice input from a user and process the voice input to determine a command to perform. The disclosed techniques can determine that the command represents a particular virtual object. In response, the disclosed techniques perform an operation (e.g., placement, movement, modification, retrieve additional information) associated with the particular virtual object relative to the target location within the real-world environment that corresponds to a position of the visual indicator. The available types of operations can be presented as hints on the AR wearable device. The hints can textually inform a user about the keywords or commands to include verbal input to perform a particular desired operation. The hints can be presented alongside a real-world or virtual object that is overlapped or overlaid by the visual indicator.
For example, a verbal command can be received to add a particular type of virtual object to the real-world environment. In response, the disclosed techniques search for and retrieve the described particular type of virtual object (identified by the verbal command) and present the particular virtual object at a location corresponding to the current position of the visual indicator. In some examples, the disclosed techniques can provide a temporary representation (e.g., a partially transparent representation of the virtual object, ghost or outline of the virtual object) of the particular type of virtual object and detect movement of the AR wearable device. As the AR wearable device is moved around the real-world environment, the temporary representation is also moved until a verbal command to place the temporary representation at the current position. In response to receiving the verbal command to place the temporary representation at the current position, the disclosed techniques replace the temporary representation with the corresponding virtual object (e.g., opaque representation of the virtual object). The disclosed techniques can receive verbal commands to move or remove a virtual object that overlaps a current position of the visual indicator and, in response, the disclosed techniques can move the virtual object to a new location in a similar manner or remove the virtual object.
The frame 132 additionally includes a left arm or temple piece 136 and a right arm or temple piece 138 coupled to the respective left end portion 110 and the right end portion 124 of the front piece 134 by any suitable means such as a hinge (not shown), so as to be coupled to the front piece 134, or rigidly or fixably secured to the front piece 134 so as to be integral with the front piece 134. In one or more implementations, each of the temple piece 136 and the temple piece 138 includes a first portion 108 that is coupled to the respective left end portion 110 or right end portion 124 of the front piece 134 and any suitable second portion 126 for coupling to the ear of the user. In one example, the front piece 134 can be formed from a single piece of material, so as to have a unitary or integral construction. In one example, such as illustrated in
The AR glasses 100 can include a computing device, such as a computer 128, which can be of any suitable type so as to be carried by the frame 132 and, in one or more examples, of a suitable size and shape, so as to be at least partially disposed in one of the temple piece 136 and the temple piece 138. In one or more examples, as illustrated in
The computer 128 additionally includes a battery 106 or other suitable portable power supply. In one example, the battery 106 is disposed in one of the temple piece 136 or the temple piece 138. In the AR glasses 100 shown in
In one or more implementations, the AR glasses 100 include cameras 102. Although two cameras are depicted, other examples contemplate the use of a single or additional (i.e., more than two) cameras. In one or more examples, the glasses 100 include any number of input sensors (e.g., one or more ambient light sensors) or peripheral devices in addition to the cameras 102. The front piece 134 is provided with an outward facing, forward-facing or front or outer surface 112 that faces forward or away from the user when the glasses 100 are mounted on the face of the user, and an opposite inward-facing, rearward-facing or rear or inner surface 104 that faces the face of the user when the glasses 100 are mounted on the face of the user. Such sensors can include inwardly-facing video sensors or digital imaging modules such as cameras that can be mounted on or provided within the inner surface 104 of the front piece 134 or elsewhere on the frame 132 so as to be facing the user, and outwardly-facing video sensors or digital imaging modules such as the cameras 102 that can be mounted on or provided with the outer surface 112 of the front piece 134 or elsewhere on the frame 132 so as to be facing away from the user. Such sensors, peripheral devices or peripherals can additionally include biometric sensors, location sensors, ambient light sensors, thermal temperature sensors, or any other such sensors.
The client device 211 may be a smartphone, tablet, phablet, laptop computer, access point, or any other such device capable of connecting with the wearable device 210 using both a low-power wireless connection and a high-speed wireless connection. The client device 211 is connected to the server 212 and the network 204. The network 204 may include any combination of wired and wireless connections. The server 212 may be one or more computing devices as part of a service or network computing system. The client device 211 and any elements of the server 212 and network 204 may be implemented using details of the software architecture 704 or the machine 800 described in
In some examples, the client device 211 implements a speech recognition or processing engine. The AR wearable device 210 can implement a microphone and can detect voice input from a user or person. The AR wearable device 210 can record or transmit the detected voice input to the client device 211 (or the server 212) in real-time or in a time-shifted manner. The client device 211 (or the server 212) can process the voice input to detect one or more words and a context of the voice input. Based on the one or more words and the context, the client device 211 (or the server 212) can select a virtual object and/or one or more operations. The virtual object and/or the one or more operations can be transmitted to the AR wearable device 210 which can then control presentation of the virtual object on the AR wearable device 210. In some cases, the AR wearable device 210 itself implements in whole or in part the speech recognition or processing engine. In such implementations, the AR wearable device 210 locally processes the voice input to detect one or more words and a context of the voice input and select a virtual object and/or one or more operations.
A user 206 operates the AR wearable device 210. The user 206 may be a human user (e.g., a human being), a machine user (e.g., a computer configured by a software program to interact with the AR wearable device 210), or any suitable combination thereof (e.g., a human assisted by a machine or a machine supervised by a human). The user 206 is not part of the network environment 200 but is associated with the AR wearable device 210.
The AR wearable device 210 may be a computing device with a display such as a smartphone, a tablet computer, or a wearable computing device (e.g., AR glasses or head-mounted display device). The computing device may be hand-held or may be removable mounted to a head of the user 206. In some examples, the display may be a screen that displays what is captured with a camera of the AR wearable device 210. In some examples, the display of the device may be transparent such as in lenses of wearable computing glasses. In some examples, the display of the AR wearable device 210 may project an image or virtual object within lenses of the AR wearable device 210, such as by using one or more projection elements operated by a digital light processing (DLP) controller.
The user 206 operates an application of the AR wearable device 210, such as using voice input. The application may include an AR application configured to provide the user 206 with an experience triggered by a physical object 208, such as a two-dimensional physical object (e.g., a picture), a three-dimensional physical object (e.g., a statue), a location (e.g., in a facility), or any references (e.g., perceived corners of walls or furniture) in the real-world physical environment. For example, the user 206 may point a camera of the AR wearable device 210 to capture an image of the physical object 208. The image is tracked and recognized locally in the AR wearable device 210 using a local context recognition dataset module of the AR application of the AR wearable device 210. The local context recognition dataset module may include a library of virtual objects associated with real-world physical objects or references. The AR application then generates additional information corresponding to the image (e.g., a three-dimensional model) and presents this additional information, as one or more images, in a display of the AR wearable device 210 in response to identifying the recognized image. If the captured image is not recognized locally at the AR wearable device 210, the AR wearable device 210 downloads additional information (e.g., the three-dimensional model) corresponding to the captured image, from a database of the server 212 over the network 204 or from the client device 211.
In some examples, the server 212 may be used to detect and identify the physical object 208 based on sensor data (e.g., image and depth data) from the AR wearable device 210, determine a pose of the AR wearable device 210 and the physical object 208 based on the sensor data. The server 212 can also generate a virtual object based on the pose of the AR wearable device 210 and the physical object 208. The server 212 communicates the virtual object to the AR wearable device 210. The object recognition, tracking, and AR rendering can be performed on either the AR wearable device 210, the server 212, or a combination between the AR wearable device 210 and the server 212.
Any of the machines, databases, or devices shown in
The network 204 may be any network that enables communication between or among machines (e.g., server 212), databases, and devices (e.g., AR wearable device 210). Accordingly, the network 204 may be a wired network, a wireless network (e.g., a mobile, BLUETOOTH, short-range network, or long-range network, or cellular network), or any suitable combination thereof. The network 204 may include one or more portions that constitute a private network, a public network (e.g., the Internet), or any suitable combination thereof.
The sensors 302 include, for example, an optical sensor 316 (e.g., camera such as a color camera, a thermal camera, a depth sensor and one or multiple grayscales, global shutter tracking cameras) and an inertial sensor 318 (e.g., gyroscope, accelerometer). Other examples of sensors 302 include a proximity or location sensor (e.g., near field communication, GPS, Bluetooth, Wi-Fi), ambient light sensor, a thermal temperature sensor, an audio sensor (e.g., a microphone), or any suitable combination thereof. It is noted that the sensors 302 described herein are for illustration purposes and the sensors 302 are thus not limited to the ones described above.
The display system 304 includes a screen 324 and a DLP projector 326. The DLP projector 326 includes one or more projection elements (LEDs) that project an image of a virtual object on the screen 324. In some examples, the screen 324 may be transparent or semi-opaque so that the user 206 can see through the screen 324 (in AR use case) to view a real-world environment. In such cases, the virtual object projected on the screen 324 appears as though it is part of the real-world environment seen through the screen 324. The DLP projector 326 is configured to operate with a predictable color sequence, a single RGB color cycle per frame, and a shorter pixel persistence.
The processor 308 can be used to implement and/or run various subcomponents including an AR application 310, a tracking system 312, and a DLP controller 314. The AR application 310 detects and identifies a physical real-world environment or the physical object 208 or virtual object using computer vision. The AR application 310 (which can be partially implemented by the client device 211) retrieves a virtual object (e.g., 3D object model) based on the identified physical object 208 or physical environment. The AR application 310 renders the virtual object in the display system 304. For an AR application, the AR application 310 includes a local rendering engine that generates a visualization of a virtual object overlaid (e.g., superimposed upon, or otherwise displayed in tandem with) on an image of the physical object 208 captured by the optical sensor 316. A visualization of the virtual object may be manipulated by adjusting a position of the physical object 208 (e.g., its physical location, orientation, or both) relative to the optical sensor 316. Similarly, the visualization of the virtual object may be manipulated by adjusting a pose of the AR wearable device 210 relative to the physical object 208.
The AR application 310 is configured to respond to verbal or voice input received from a user or person. As described below in connection with
The tracking system 312 tracks the pose (e.g., position and orientation) of the AR wearable device 210 relative to the real world environment 202 using optical sensors (e.g., depth-enabled 3D camera, image camera), inertia sensors (e.g., gyroscope, accelerometer), wireless sensors (Bluetooth, Wi-Fi), GPS sensor, and/or audio sensor to determine the location of the AR wearable device 210 within the real world environment 202. The tracking system 312 includes, for example, accesses inertial sensor data from the inertial sensor 318, optical sensor data from the optical sensor 316, and determines its pose based on the combined inertial sensor data and the optical sensor data. In some examples, the tracking system 312 determines a pose (e.g., location, position, orientation) of the AR wearable device 210 relative to a frame of reference (e.g., real world environment 202). In some examples, the tracking system 312 includes a visual odometry system that estimates the pose of the AR wearable device 210 based on 3D maps of feature points from the inertial sensor data and the optical sensor data.
The DLP controller 314 communicates data signals to the DLP projector 326 to project the virtual content (including one or more images and one or more virtual objects) onto the screen 324 (e.g., transparent display). The DLP controller 314 includes a hardware that converts signals from the AR application 310 to display signals for the DLP projector 326. In some examples, the DLP controller 314 is part of the processor 308. In some examples, the DLP controller 314 is part of the DLP projector 326.
The storage device 306 stores virtual object content 320 and DLP configuration settings 322. The virtual object content 320 includes, for example, a database of visual references (e.g., images) and corresponding experiences (e.g., 3D virtual objects, interactive features of the 3D virtual objects). In some examples, the storage device 306 includes a primary content dataset, a contextual content dataset, and a visualization content dataset. The primary content dataset includes, for example, a first set of images and corresponding experiences (e.g., interaction with 3D virtual object models). For example, an image may be associated with one or more virtual object models. The primary content dataset may include a core set of images. The core set of images may include a limited number of images identified by the server 212. For example, the core set of images may include the images depicting covers of the ten most viewed physical objects and their corresponding experiences (e.g., virtual objects that represent the ten most viewed physical objects). In some examples, the server 212 may generate the first set of images based on the most popular or often scanned images received at the server 212. Thus, the primary content dataset does not depend on physical objects or images obtained by the optical sensor 316.
Any one or more of the modules described herein may be implemented using hardware (e.g., a processor of a machine) or a combination of hardware and software. For example, any module described herein may configure a processor to perform the operations described herein for that module. Moreover, any two or more of these modules may be combined into a single module, and the functions described herein for a single module may be subdivided among multiple modules. Furthermore, according to various examples, modules described herein as being implemented within a single machine, database, or device may be distributed across multiple machines, databases, or devices.
The AR wearable device 210 can detect voice input via a microphone of the AR wearable device 210. In response to detecting voice input, the AR wearable device 210 processes the voice input, such as using a locally-implemented or remotely implemented, speech recognition engine. The output of the speech recognition engine includes one or more words 420 corresponding to the voice input. For example, the one or more words can include the statement “show me some tables.” The AR wearable device 210 processes the one or more words to determine a command or operation to perform. In this case, the AR wearable device 210 determined that the operation or command corresponds to a list of a particular type of object (e.g., tables). In some cases, the one or more words include a detailed description of the object (e.g., a shape, dimension, color, and/or style). The AR wearable device 210 retrieves a list of objects that include or are associated with properties that match the detailed description included in the one or more words.
The AR wearable device 210 can present a virtual menu 430 that includes one or more objects that correspond to the particular type of object specified by the voice input. For example, the virtual menu 430 includes six different types of tables that are arranged in a two by three matrix or other suitable visual or presentation arrangement. Each object in the virtual menu 430 visually represents a given virtual object (e.g., a different type of virtual table). The AR wearable device 210 can determine that the AR wearable device 210 is being moved up/down or side to side. As the AR wearable device 210 is being moved around, the AR wearable device 210 moves the visual indicator 440 to maintain its position at a center of the view. For example, the AR wearable device 210 can be positioned in a first position or orientation in which case the visual indicator 440 overlaps a first virtual object 434 of the one or more objects included in the virtual menu 430.
In response to detecting that the visual indicator 440 has been moved to overlap or correspond to the position of the first virtual object 434, the AR wearable device 210 can animate the first virtual object 434 (e.g., present the first virtual object 434 as bouncing up and down). This indicates to the user that the first virtual object 434 is being identified by the cursor corresponding to the visual indicator 440. As the AR wearable device 210 is moved up relative to the real-world environment that is within view, the visual indicator 440 is moved vertically and away from the first virtual object 434. When the AR wearable device 210 is moved up enough for the visual indicator 440 to overlap a second virtual object that is positioned above the first virtual object 434, the AR wearable device 210 animates the second virtual object to indicate it as a target of selection.
In some examples, the AR wearable device 210 can present a hint 432 for a voice command that a user can speak in order to select the virtual object being identified by the visual indicator 440. For example, when the visual indicator 440 is positioned on top of the first virtual object 434, the AR wearable device 210 can present a message that includes a hint 432 indicating “say ‘try this one’”. This alerts the user that speaking the phrase “try this one” causes the AR wearable device 210 to retrieve the virtual object identified by the first virtual object 434.
For example, as shown in
In some examples, the AR wearable device 210 initially presents the retrieved virtual object with a first visual attribute. For example, the AR wearable device 210 can present a ghost representation 411 of the virtual object (e.g., a virtual table) corresponding to the first virtual object 434. The ghost representation 411 can include an outline of the virtual object (e.g., a virtual table) corresponding to the first virtual object 434. In some examples, the ghost representation 411 includes the shape of the virtual object (e.g., a virtual table) corresponding to the first virtual object 434 that is partially transparent. This allows the user to visualize how the virtual object (e.g., a virtual table) corresponding to the first virtual object 434 looks in a certain real-world position while also seeing what is currently placed at the real-world position overlapped by the ghost representation 411.
The AR wearable device 210 maintains the presentation of the ghost representation 411 statically positioned (e.g., in a center of view) together with a statically positioned visual indicator 441. As the AR wearable device 210 is turned or moved around by a certain amount in a certain direction, the AR wearable device 210 also updates the display position of the ghost representation 411 to track movement of the AR wearable device 210. This way, the AR wearable device 210 can move the ghost representation 411 around the real-world environment. For example, the ghost representation 411 can initially be presented in the first portion of the real-world environment 400 and over one or more real-world objects 410. The AR wearable device 210 can detect movement, such as the head turning towards the right where a second portion of the real-world environment 401 is visible through the lenses of the AR wearable device 210. In response, the AR wearable device 210 updates the presentation position of the ghost representation 411 to be within the view of the second portion of the real-world environment 401 and over other real-world objects 431.
As shown in
In some examples, the AR wearable device 210 can receive a verbal command to move a particular virtual object to a new location. For example, the AR wearable device 210 receives verbal input 421 from the user speaking the phrase “move the object”. The AR wearable device 210 processes the phrase to detect words of the phrase matching the command “move”. In response, the AR wearable device 210 determines that the visual indicator 440 was positioned over the virtual object 412 when the verbal input including the move command was received. In such cases, the AR wearable device 210 modifies the visual attribute of virtual object 412 from the second visual attribute (e.g., the opaque display) back to the first visual attribute (e.g., the ghost representation 411). This informs the user that the virtual object 412 will now be moved in a way that tracks movement of the AR wearable device 210. This allows the user to visualize how the virtual object 412 looks in different real-world positions.
As discussed with respect to
In some examples, the AR wearable device 210 determines an approximate or estimated distance between a real-world position associated with or overlapped by the visual indicator 441 and the AR wearable device 210. The AR wearable device 210 can adjust the size of the ghost representation 411 and/or the virtual object 412 based on the approximate or estimated distance. For example, if the visual indicator 441 overlaps a real-world position that is far away (is at a first distance) from the AR wearable device 210 (e.g., the user is looking at a wall), the AR wearable device 210 adjusts the size of the ghost representation 411 and/or the virtual object 412 to be a first size. If the AR wearable device 210 is moved down to face the floor to cause the visual indicator 441 to overlaps a different real-world position that is closer (is at a second distance that is shorter than the first distance) from the AR wearable device 210 (e.g., the user is looking at a floor), the AR wearable device 210 adjusts the size of the ghost representation 411 and/or the virtual object 412 to be a second size that is larger than the first size.
In some examples, AR wearable device 210 enables a user to add one or more virtual objects on top of a surface of a real-world or another virtual object. Specifically, as shown in
The AR wearable device 210 can present a virtual menu 530 that includes one or more objects that correspond to the particular type of object specified by the voice input. For example, the virtual menu 530 includes six different types of plants that are arranged in a two by three matrix or other suitable visual or presentation arrangement. The virtual menu 530 is displayed on top of a target object, such as a virtual surface of the virtual object 412. Each object in the virtual menu 430 visually represents a miniaturized version of a given virtual object (e.g., a different type of virtual plant). The AR wearable device 210 can determine that the AR wearable device 210 is being moved up/down or side to side. As the AR wearable device 210 is being moved around, the AR wearable device 210 moves the visual indicator 540 to maintain its position at a center of the view. For example, the AR wearable device 210 can be positioned in a first position or orientation in which case the visual indicator 540 overlaps a given virtual object 532 of the one or more objects included in the virtual menu 530.
In response to detecting that the visual indicator 532 has been moved to overlap or correspond to the position of the first virtual object 532, the AR wearable device 210 animates the given virtual object 532 (e.g., present the given virtual object 532 as bouncing up and down). This indicates to the user that the given virtual object 532 is being identified by the cursor corresponding to the visual indicator 540. As discussed above, the AR wearable device 210 detects a verbal command that indicates a selection operation when the given virtual object 532 is identified by the cursor. In response, the AR wearable device 210 presents a real-world sized virtual object corresponding to the miniaturized version of the given virtual object 532. The real-world sized virtual object can initially be presented with a ghost representation (e.g., a first visual attribute). The real-world sized virtual object can be moved around the real-world environment based on movement tracking of the AR wearable device 210.
In response to the AR wearable device 210 receiving a verbal command to place the real-world sized virtual object at a current position within the real-world environment, the AR wearable device 210 modifies the visual attribute of the real-world sized virtual object from the first visual attribute to the second visual attribute (e.g., an opaque representation). For example, as shown in
In some examples, the AR wearable device 210 can determine that a second object (e.g., a virtual table or real-world table) is currently placed within the real-world environment at the same target position as the current position of the visual indicator 540. The AR wearable device 210 determines whether concurrent presentation of the virtual object 511 and the second object at the same real-world position violates a presentation criterion. In response to determining that the concurrent presentation of the virtual object 511 and the second object at the real-world position satisfies the presentation criterion, the AR wearable device 210 enables placement of the virtual object 511 at the real-world position (e.g., presents the virtual object 511 on top of the virtual table). In response to determining that the concurrent presentation of the virtual object 511 and the second object at the real-world position violates or fails to satisfy the presentation criterion, the AR wearable device 210 modifies a visual attribute of the virtual object 511 to indicate that the presentation criterion is being violated. For example, the virtual object 511 can represent a first type of object (e.g., a television) and the second object at the real-world environment is also of the first type (e.g., is a television). The AR wearable device 210 can determine that concurrent presentation of the virtual object 511 and the second object at the same real-world position violates a presentation criterion in response to determining that the virtual object 511 and the second object at the real-world position of the visual indicator 540 are of the same type or class. Namely, two televisions cannot coexist at the same location. In such cases, the AR wearable device 210 can display the virtual object 511 with a third visual attribute (e.g., in a particular color, such as red) or can maintain the virtual object 511 as a ghost representation. The two objects can coexist at the same location (e.g., the presentation criterion can be satisfied) if they correspond to related types that are different (e.g., a table and an object that can be placed on a table).
In some examples, an orientation of the visual indicator 540 can be adjusted based on an orientation of a surface over which the visual indicator 540 is positioned. For example, as the AR wearable device 210 is moved around, the visual indicator 540 continues to remain positioned at the center and overlaps different real-world or virtual objects. The AR wearable device 210 continuously determines an orientation of a surface of the real-world or virtual objects that are overlapped by the visual indicator 540. The AR wearable device 210 modifies the orientation of the visual indicator 540 to match the orientation of the surface of the real-world or virtual object. In some examples, the AR wearable device 210 modifies a display attribute (e.g., color, style, shape, size, and so forth) of the visual indicator 540 based on a type of the real-world or virtual object overlapped by the visual indicator 540. For example, when the visual indicator 540 overlaps a real-world object, the visual indicator 540 is displayed in a first color. When the AR wearable device 210 is moved to a new position and the visual indicator 540 now overlaps a virtual object placed at the new position within the real-world environment, the visual indicator changes from being displayed in the first color to being displayed in a second color.
In response to receiving the verbal or voice input 610, the AR wearable device 210 obtains an identifier of the target object 620. The AR wearable device 210 searches a local or remote storage for additional information about the virtual object 620. For example, the AR wearable device 210 retrieves at least one of a price, a size, and/or a description of the target object 620. The AR wearable device 210 displays the at least one of a price, a size, and/or a description 622 of the target object 620 in response to retrieving the additional information.
In some cases, the AR wearable device 210 can receive a verbal command to remove a virtual object from the real-world environment. For example, the AR wearable device 210 can be pointed towards a given portion of the real-world environment 600. The given portion of the real-world environment 600 can include the target object 620 that was previously placed, such as based on voice or verbal input from the user. The AR wearable device 210 detects that a visual indicator 640 is positioned to overlap the target object 620. Concurrently with detecting that the visual indicator 640 overlaps the target object 620, the AR wearable device 210 can receive verbal or voice input 610 requesting removal of the target object 620 over which the visual indicator 640 is positioned. In response to receiving the verbal or voice input 610, the AR wearable device 210 deletes the target object 620 from the real-world environment.
At operation 701, the AR application 310 instructs a display element of the AR wearable device to present a visual indicator representing a cursor, as discussed above.
At operation 702, the AR application 310 receives voice input representing a first virtual object, as discussed above.
At operation 703, the AR application 310 determines a real-world position within a real-world environment being viewed through the AR wearable device based on a current position of the visual indicator, as discussed above.
At operation 704, the AR application 310 instructs the display element of the AR wearable device to present the first virtual object within the real-world environment at the real-world position, as discussed above.
The machine 800 may include processors 802, memory 804, and input/output (I/O) components 838, which may be configured to communicate with each other via a bus 840. In an example, the processors 802 (e.g., a Central Processing Unit (CPU), a Reduced Instruction Set Computing (RISC) Processor, a Complex Instruction Set Computing (CISC) Processor, a Graphics Processing Unit (GPU), a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Radio-Frequency Integrated Circuit (RFIC), another processor, or any suitable combination thereof) may include, for example, a processor 806 and a processor 810 that execute the instructions 808. The term “processor” is intended to include multi-core processors that may comprise two or more independent processors (sometimes referred to as “cores”) that may execute instructions contemporaneously. Although
The memory 804 includes a main memory 812, a static memory 814, and a storage unit 816, all accessible to the processors 802 via the bus 840. The main memory 804, the static memory 814, and the storage unit 816 store the instructions 808 embodying any one or more of the methodologies or functions described herein. The instructions 808 may also reside, completely or partially, within the main memory 812, within the static memory 814, within a machine-readable medium within the storage unit 816, within at least one of the processors 802 (e.g., within the processor's cache memory), or any suitable combination thereof, during execution thereof by the machine 800.
The I/O components 838 may include a wide variety of components to receive input, provide output, produce output, transmit information, exchange information, capture measurements, and so on. The specific I/O components 838 that are included in a particular machine will depend on the type of machine. For example, portable machines such as mobile phones may include a touch input device or other such input mechanisms, while a headless server machine will likely not include such a touch input device. It will be appreciated that the I/O components 838 may include many other components that are not shown in
In further examples, the I/O components 838 may include biometric components 828, motion components 830, environmental components 832, or position components 834, among a wide array of other components. For example, the biometric components 828 include components to detect expressions (e.g., hand expressions, facial expressions, vocal expressions, body gestures, or eye-tracking), measure biosignals (e.g., blood pressure, heart rate, body temperature, perspiration, or brain waves), identify a person (e.g., voice identification, retinal identification, facial identification, fingerprint identification, or electroencephalogram-based identification), and the like. The motion components 830 include acceleration sensor components (e.g., accelerometer), gravitation sensor components, rotation sensor components (e.g., gyroscope).
The environmental components 832 include, for example, one or cameras (with still image/photograph and video capabilities), illumination sensor components (e.g., photometer), temperature sensor components (e.g., one or more thermometers that detect ambient temperature), humidity sensor components, pressure sensor components (e.g., barometer), acoustic sensor components (e.g., one or more microphones that detect background noise), proximity sensor components (e.g., infrared sensors that detect nearby objects), gas sensors (e.g., gas detection sensors to detection concentrations of hazardous gases for safety or to measure pollutants in the atmosphere), or other components that may provide indications, measurements, or signals corresponding to a surrounding physical environment.
With respect to cameras, the client device 102 may have a camera system comprising, for example, front cameras on a front surface of the client device 102 and rear cameras on a rear surface of the client device 102. The front cameras may, for example, be used to capture still images and video of a user of the client device 102 (e.g., “selfies”), which may then be augmented with augmentation data (e.g., filters) described above. The rear cameras may, for example, be used to capture still images and videos in a more traditional camera mode, with these images similarly being augmented with augmentation data. In addition to front and rear cameras, the client device 102 may also include a 360° camera for capturing 360° photographs and videos.
Further, the camera system of a client device 102 may include dual rear cameras (e.g., a primary camera as well as a depth-sensing camera), or even triple, quad or penta rear camera configurations on the front and rear sides of the client device 102. These multiple cameras systems may include a wide camera, an ultra-wide camera, a telephoto camera, a macro camera, and a depth sensor, for example.
The position components 834 include location sensor components (e.g., a GPS receiver component), altitude sensor components (e.g., altimeters or barometers that detect air pressure from which altitude may be derived), orientation sensor components (e.g., magnetometers), and the like.
Communication may be implemented using a wide variety of technologies. The I/O components 838 further include communication components 836 operable to couple the machine 800 to a network 820 or devices 822 via respective coupling or connections. For example, the communication components 836 may include a network interface component or another suitable device to interface with the network 820. In further examples, the communication components 836 may include wired communication components, wireless communication components, cellular communication components, Near Field Communication (NFC) components, Bluetooth® components (e.g., Bluetooth® Low Energy), components, and other communication components to provide communication via other modalities. The devices 822 may be another machine or any of a wide variety of peripheral devices (e.g., a peripheral device coupled via a USB).
Moreover, the communication components 836 may detect identifiers or include components operable to detect identifiers. For example, the communication components 836 may include Radio Frequency Identification (RFID) tag reader components, NFC smart tag detection components, optical reader components (e.g., an optical sensor to detect one-dimensional bar codes such as Universal Product Code (UPC) bar code, multi-dimensional bar codes such as Quick Response (QR) code, Aztec code, Data Matrix, Dataglyph, MaxiCode, PDF417, Ultra Code, UCC RSS-2D bar code, and other optical codes), or acoustic detection components (e.g., microphones to identify tagged audio signals). In addition, a variety of information may be derived via the communication components 836, such as location via Internet Protocol (IP) geolocation, location via Wi-Fi® signal triangulation, location via detecting an NFC beacon signal that may indicate a particular location, and so forth.
The various memories (e.g., main memory 812, static memory 814, and memory of the processors 802) and storage unit 816 may store one or more sets of instructions and data structures (e.g., software) embodying or used by any one or more of the methodologies or functions described herein. These instructions (e.g., the instructions 808), when executed by processors 802, cause various operations to implement the disclosed examples.
The instructions 808 may be transmitted or received over the network 820, using a transmission medium, via a network interface device (e.g., a network interface component included in the communication components 836) and using any one of several well-known transfer protocols (e.g., hypertext transfer protocol (HTTP)). Similarly, the instructions 808 may be transmitted or received using a transmission medium via a coupling (e.g., a peer-to-peer coupling) to the devices 822.
The operating system 912 manages hardware resources and provides common services. The operating system 912 includes, for example, a kernel 914, services 916, and drivers 922. The kernel 914 acts as an abstraction layer between the hardware and the other software layers. For example, the kernel 914 provides memory management, processor management (e.g., scheduling), component management, networking, and security settings, among other functionality. The services 916 can provide other common services for the other software layers. The drivers 922 are responsible for controlling or interfacing with the underlying hardware. For instance, the drivers 922 can include display drivers, camera drivers, BLUETOOTH® or BLUETOOTH® Low Energy drivers, flash memory drivers, serial communication drivers (e.g., USB drivers), WI-FI® drivers, audio drivers, power management drivers, and so forth.
The libraries 910 provide a common low-level infrastructure used by the applications 906. The libraries 910 can include system libraries 918 (e.g., C standard library) that provide functions such as memory allocation functions, string manipulation functions, mathematic functions, and the like. In addition, the libraries 910 can include API libraries 924 such as media libraries (e.g., libraries to support presentation and manipulation of various media formats such as Moving Picture Experts Group-4 (MPEG4), Advanced Video Coding (H.264 or AVC), Moving Picture Experts Group Layer-3 (MP3), Advanced Audio Coding (AAC), Adaptive Multi-Rate (AMR) audio codec, Joint Photographic Experts Group (JPEG or JPG), or Portable Network Graphics (PNG)), graphics libraries (e.g., an OpenGL framework used to render in two dimensions (2D) and three dimensions (3D) in a graphic content on a display), database libraries (e.g., SQLite to provide various relational database functions), web libraries (e.g., WebKit to provide web browsing functionality), and the like. The libraries 910 can also include a wide variety of other libraries 928 to provide many other APIs to the applications 906.
The frameworks 908 provide a common high-level infrastructure that is used by the applications 906. For example, the frameworks 908 provide various graphical user interface (GUI) functions, high-level resource management, and high-level location services. The frameworks 908 can provide a broad spectrum of other APIs that can be used by the applications 906, some of which may be specific to a particular operating system or platform.
In some examples, the applications 906 may include a home application 936, a contacts application 930, a browser application 932, a book reader application 934, a location application 942, a media application 944, a messaging application 946, a game application 948, and a broad assortment of other applications such as an external application 940. The applications 906 are programs that execute functions defined in the programs. Various programming languages can be employed to create one or more of the applications 906, 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, the external application 940 (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 be mobile software running on a mobile operating system such as IOS™, ANDROID™, WINDOWS® Phone, or another mobile operating system. In this example, the external application 940 can invoke the API calls 950 provided by the operating system 912 to facilitate functionality described herein.
“Carrier signal” refers to any intangible medium that is capable of storing, encoding, or carrying instructions for execution by the machine, and includes digital or analog communications signals or other intangible media to facilitate communication of such instructions. Instructions may be transmitted or received over a network using a transmission medium via a network interface device.
“Client device” refers to any machine that interfaces to a communications network to obtain resources from one or more server systems or other client devices. A client device may be, but is not limited to, a mobile phone, desktop computer, laptop, portable digital assistants (PDAs), smartphones, tablets, ultrabooks, netbooks, laptops, multi-processor systems, microprocessor-based or programmable consumer electronics, game consoles, set-top boxes, or any other communication device that a user may use to access a network.
“Communication network” refers to one or more portions of a network that may be an ad hoc network, an intranet, an extranet, a virtual private network (VPN), a local area network (LAN), a wireless LAN (WLAN), a wide area network (WAN), a wireless WAN (WWAN), a metropolitan area network (MAN), the Internet, a portion of the Internet, a portion of the Public Switched Telephone Network (PSTN), a plain old telephone service (POTS) network, a cellular telephone network, a wireless network, a Wi-Fi® network, another type of network, or a combination of two or more such networks. For example, a network or a portion of a network may include a wireless or cellular network and the coupling may be a Code Division Multiple Access (CDMA) connection, a Global System for Mobile communications (GSM) connection, or other types of cellular or wireless coupling. In this example, the coupling may implement any of a variety of types of data transfer technology, such as Single Carrier Radio Transmission Technology (1×RTT), Evolution-Data Optimized (EVDO) technology, General Packet Radio Service (GPRS) technology, Enhanced Data rates for GSM Evolution (EDGE) technology, third Generation Partnership Project (3GPP) including 3G, fourth generation wireless (4G) networks, Universal Mobile Telecommunications System (UMTS), High Speed Packet Access (HSPA), Worldwide Interoperability for Microwave Access (WiMAX), Long Term Evolution (LTE) standard, others defined by various standard-setting organizations, other long-range protocols, or other data transfer technology.
“Component” refers to a device, physical entity, or logic having boundaries defined by function or subroutine calls, branch points, APIs, or other technologies that provide for the partitioning or modularization of particular processing or control functions. Components may be combined via their interfaces with other components to carry out a machine process. A component may be a packaged functional hardware unit designed for use with other components and a part of a program that usually performs a particular function of related functions.
Components may constitute either software components (e.g., code embodied on a machine-readable medium) or hardware components. A “hardware component” is a tangible unit capable of performing certain operations and may be configured or arranged in a certain physical manner. In various examples, one or more computer systems (e.g., a standalone computer system, a client computer system, or a server computer system) or one or more hardware components of a computer system (e.g., a processor or a group of processors) may be configured by software (e.g., an application or application portion) as a hardware component that operates to perform certain operations as described herein.
A hardware component may also be implemented mechanically, electronically, or any suitable combination thereof. For example, a hardware component may include dedicated circuitry or logic that is permanently configured to perform certain operations. A hardware component may be a special-purpose processor, such as a field-programmable gate array (FPGA) or an application specific integrated circuit (ASIC). A hardware component may also include programmable logic or circuitry that is temporarily configured by software to perform certain operations. For example, a hardware component may include software executed by a general-purpose processor or other programmable processor. Once configured by such software, hardware components become specific machines (or specific components of a machine) uniquely tailored to perform the configured functions and are no longer general-purpose processors. It will be appreciated that the decision to implement a hardware component mechanically, in dedicated and permanently configured circuitry, or in temporarily configured circuitry (e.g., configured by software), may be driven by cost and time considerations. Accordingly, the phrase “hardware component” (or “hardware-implemented component”) should be understood to encompass a tangible entity, be that an entity that is physically constructed, permanently configured (e.g., hardwired), or temporarily configured (e.g., programmed) to operate in a certain manner or to perform certain operations described herein.
Considering examples in which hardware components are temporarily configured (e.g., programmed), each of the hardware components need not be configured or instantiated at any one instance in time. For example, where a hardware component comprises a general-purpose processor configured by software to become a special-purpose processor, the general-purpose processor may be configured as respectively different special-purpose processors (e.g., comprising different hardware components) at different times. Software accordingly configures a particular processor or processors, for example, to constitute a particular hardware component at one instance of time and to constitute a different hardware component at a different instance of time.
Hardware components can provide information to, and receive information from, other hardware components. Accordingly, the described hardware components may be regarded as being communicatively coupled. Where multiple hardware components exist contemporaneously, communications may be achieved through signal transmission (e.g., over appropriate circuits and buses) between or among two or more of the hardware components. In examples in which multiple hardware components are configured or instantiated at different times, communications between such hardware components may be achieved, for example, through the storage and retrieval of information in memory structures to which the multiple hardware components have access. For example, one hardware component may perform an operation and store the output of that operation in a memory device to which it is communicatively coupled. A further hardware component may then, at a later time, access the memory device to retrieve and process the stored output. Hardware components may also initiate communications with input or output devices, and can operate on a resource (e.g., a collection of information).
The various operations of example methods described herein may be performed, at least partially, by one or more processors that are temporarily configured (e.g., by software) or permanently configured to perform the relevant operations. Whether temporarily or permanently configured, such processors may constitute processor-implemented components that operate to perform one or more operations or functions described herein. As used herein, “processor-implemented component” refers to a hardware component implemented using one or more processors. Similarly, the methods described herein may be at least partially processor-implemented, with a particular processor or processors being an example of hardware. For example, at least some of the operations of a method may be performed by one or more processors 802 or processor-implemented components. Moreover, the one or more processors may also operate to support performance of the relevant operations in a “cloud computing” environment or as a “software as a service” (SaaS). For example, at least some of the operations may be performed by a group of computers (as examples of machines including processors), with these operations being accessible via a network (e.g., the Internet) and via one or more appropriate interfaces (e.g., an API). The performance of certain of the operations may be distributed among the processors, not only residing within a single machine, but deployed across a number of machines. In some examples, the processors or processor-implemented components may be located in a single geographic location (e.g., within a home environment, an office environment, or a server farm). In other examples, the processors or processor-implemented components may be distributed across a number of geographic locations.
“Computer-readable storage medium” refers to both machine-storage media and transmission media. Thus, the terms include both storage devices/media and carrier waves/modulated data signals. The terms “machine-readable medium,” “computer-readable medium” and “device-readable medium” mean the same thing and may be used interchangeably in this disclosure.
“Ephemeral message” refers to a message that is accessible for a time-limited duration. An ephemeral message may be a text, an image, a video and the like. The access time for the ephemeral message may be set by the message sender. Alternatively, the access time may be a default setting or a setting specified by the recipient. Regardless of the setting technique, the message is transitory.
“Machine storage medium” refers to a single or multiple storage devices and media (e.g., a centralized or distributed database, and associated caches and servers) that store executable instructions, routines and data. The term shall accordingly be taken to include, but not be limited to, solid-state memories, and optical and magnetic media, including memory internal or external to processors. Specific examples of machine-storage media, computer-storage media and device-storage media include non-volatile memory, including by way of example semiconductor memory devices, e.g., erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), FPGA, and flash memory devices; magnetic disks such as internal hard disks and removable disks; magneto-optical disks; and CD-ROM and DVD-ROM disks The terms “machine-storage medium,” “device-storage medium,” “computer-storage medium” mean the same thing and may be used interchangeably in this disclosure. The terms “machine-storage media,” “computer-storage media,” and “device-storage media” specifically exclude carrier waves, modulated data signals, and other such media, at least some of which are covered under the term “signal medium.”
“Non-transitory computer-readable storage medium” refers to a tangible medium that is capable of storing, encoding, or carrying the instructions for execution by a machine.
“Signal medium” refers to any intangible medium that is capable of storing, encoding, or carrying the instructions for execution by a machine and includes digital or analog communications signals or other intangible media to facilitate communication of software or data. The term “signal medium” shall be taken to include any form of a modulated data signal, carrier wave, and so forth. The term “modulated data signal” means a signal that has one or more of its characteristics set or changed in such a matter as to encode information in the signal. The terms “transmission medium” and “signal medium” mean the same thing and may be used interchangeably in this disclosure.
Changes and modifications may be made to the disclosed examples without departing from the scope of the present disclosure. These and other changes or modifications are intended to be included within the scope of the present disclosure, as expressed in the following claims.
