Recently, various technologies have emerged that allow users to experience a blend of reality and virtual worlds along an augmented reality continuum. For example, head-mounted display (HMD) devices may include various sensors that allow the HMD device to display a blend of reality and virtual objects on the HMD device as augmented reality, or block out the real world view to display only virtual reality. Whether for virtual or augmented reality, is often desired to present images to multiple users at the same time in order to provide an integrated virtual or augmented reality experience. However, a lack of unification of the images when displaying virtual or augmented reality images to multiple users simultaneously can make the images appear less realistic, which negatively impacts the interactive experience for the users.
An HMD device, a server, and a method for displaying augmented reality images to be viewed on multiple HMD devices are disclosed herein. In one example, an HMD device comprises an at least partially see-through display configured to display augmented reality images, one or more location sensors from which the HMD device determines at least a location of the location sensors in a physical environment, a communication unit configured to receive peer location data from at least one peer HMD device in the physical environment, and a processor, the processor being configured to determine a field of view of the HMD device, identify a display position at which an augmented reality image can be displayed and viewed in the physical environment by the HMD device and the at least one peer HMD device, and display the augmented reality image at the display position on the at least partially see-through display of the HMD device. This example allows multiple HMD devices to simultaneously view an augmented reality image at a mutually visible location. Thus, ensuring that multiple users of HMD devices can have a realistic cooperative experience.
In another example, the augmented reality image may be a virtual presenter, and the processor of the HMD device may be further configured to display a presentation image at a presentation position, determine a plurality of focal points and animate the virtual presenter to perform a script, wherein the script comprises gestures and focal point information about the plurality of focal points, and the gestures of the virtual presenter depend at least on the focal point information.
This Summary is provided to introduce a selection of concepts in a simplified form that are further described below in the Detailed Description. This Summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter. Furthermore, the claimed subject matter is not limited to implementations that solve any or all disadvantages noted in any part of this disclosure.
As mentioned above, head-mounted display (HMD) devices may present users with collaborative, augmented reality visual experiences. Such experiences may be used for media presentation, teaching, gaming, work/productivity, and many other computing interactions.
As described in more detail below, HMD device 104 further comprises one or more location sensors 128, a communication unit 130 and a processor 132, which are used to determine a display position D for the augmented reality image 110. The location sensors 128 are configured to determine at least a location of location sensors 128 in the physical environment 108, and they may also be able to determine a location (X, Y, Z) position as well as orientation (pitch, yaw, and roll) of the location sensors in the physical environment. The communication unit 130 is configured to receive peer location data from the peer HMD devices 114 and 122 in the physical environment 108 and transmit location data about the HMD device 104 to the peer HMD devices 114 and 122, transmission and reception being carried out either directly or indirectly between the HMD device 104 and the peer HMD devices 114 and 122. In some examples, HMD devices 104, 114, and 122 may directly communicate location data to other devices (e.g. via a network 118, Bluetooth, or other suitable protocol) via P2P wireless links 113 to allow the location and orientation of each HMD device 104, 114, and 122 relative to the other devices to be determined. Further, the devices 104, 114, and 122 may send location data to a wireless WiFi access point 117 and server 111 via client-server wireless links 115 in communication with each HMD device 104, 114, and 122 via a network 118, such that server may distribute or otherwise provide the location data from each HMD device to other HMD devices. Although only two P2P wireless links 113 and one client-server wireless link are illustrated for simplicity, it will be appreciated that all HMD devices may communicate via such links 115 with the server in a one to many configuration, and via links 113 with each other in a many to many configuration. In any of the examples described herein, the HMD devices may merge their maps in the same space by packaging up map information (images, features point sets, etc.) and anchor information (locations relative to those feature point sets), and transferring it over the network. Alternatively, map data may be shared ahead of time to get all HMD devices in the same map. Additional dynamic mesh/occlusion data could then be communicated over the network at runtime as the mesh deviated from the initial map.
The processor 132 is configured to determine the field of view 106 of the HMD device 104, identify a display position D at which the augmented reality image 110 can be displayed and viewed in the physical environment 108 by the HMD device 104 and the peer HMD devices 114 and 122 based at least on the determined field of view 106 and the received peer location data, and display the augmented reality image 110 at the display position D on the at least partially see-through display 134 of the HMD device 104.
The HMD device 104 may also include optical sensors 136 and related systems to provide information to the processor 132 about the location and field of view 106 of the user 102 of the HMD device 104. Optical sensors 136, such as one or more outward facing image sensors may include, but are not limited to, depth sensor systems (e.g. time-of-flight and/or structured light camera(s), as well as stereo camera systems), visible light image sensors, and infrared image sensors. In addition to determining the location of the HMD device 104, the one or more location sensors 128 may be further configured to determine an orientation of the HMD device 104, i.e., pitch, yaw, and roll as described above. The location sensors 128 may include, but are not limited to, an inertial measurement unit (IMU).
Data from the optical and location sensors 128 may also be used by the processor 132 to determine direction/location and orientation data (e.g., from imaging environmental features), enabling localization of the HMD device 104 in the real world physical environment 108. Data from the outward facing image sensors may be used by the processor 132 to construct still images and/or video images of the surrounding environment from the perspective of the HMD device 104.
The position and/or orientation of the HMD device 104 relative to the physical environment 108 may be assessed so that augmented-reality images 110 may be accurately displayed in desired locations, and appear to be world-locked, i.e., locked in position relative to the physical environment even as the location and orientation of each HMD device changes. As described below, the processor 132 may be configured to generate a 3D model of the physical environment 108 including surface reconstruction information that may be used to identify surfaces in the physical space. Non-limiting examples of methods to detect geometric planes in the three-dimensional physical environment 108 include the use of algorithms such as linear least squares or random sample consensus (RANSAC) algorithms. The 3D model of the physical environment may be referenced to determine candidate display positions D at which to display a holographic image, structures that may partially obscure a field of view may be identified using the 3D model, and this information taken into account when determining candidate display positions D.
The IMU of HMD device 104 may be configured to provide position and/or orientation data of the HMD device 104 to the processor 132. In one implementation, the IMU may be configured as a three-axis or three-degree of freedom (3DOF) position sensor system. This example position sensor system may, for example, include three gyroscopes to indicate or measure a change in orientation of the HMD device 104 within 3D space about three orthogonal axes (e.g., roll, pitch, and yaw). The orientation derived from the sensor signals of the IMU may be used to display, via the at least partially see-through display 134, one or more augmented reality images 110 with a realistic and stable position and orientation.
In another example, the IMU may be configured as a six-axis or six-degree of freedom (6DOF) position sensor system. Such a configuration may include three accelerometers and three gyroscopes to indicate or measure a change in location of the HMD device 104 along three orthogonal spatial axes (e.g., x, y, and z) and a change in device orientation about three orthogonal rotation axes (e.g., yaw, pitch, and roll). In some implementations, position and orientation data from the outward facing image sensors and the IMU may be used in conjunction to determine a position and orientation (or 6DOF pose) of the HMD device 104.
As introduced above, the HMD device 104 may be configured to determine the field of view 106 of the HMD device 104 based at least on the location and the orientation of the HMD device 104. More specifically, after determining the location and/or orientation of the HMD device 104 in the physical environment 108, the processor 132 of HMD device 104 may be further configured to identify candidate positions at which the augmented reality image 110 can be displayed and viewed within a field of view 106 of the HMD device 104 in the physical environment 108. The HMD device 104 may be configured to establish a coordinate frame for the physical environment 108 via the acquired image data. For example, the coordinate frame may be established from a three-dimensional mesh of the physical environment 108 constructed from depth data acquired via an on-board depth sensor (e.g. by using a simultaneous localization and mapping method). In other examples, the HMD device 104 may obtain previously acquired and stored depth data of the physical environment 108, stored either locally or remotely.
In another example, the optical sensors 136 may be further configured to acquire surface data about surfaces within the field of view 106. Specifically, data from the outward facing image sensors may be used by the processor 132 to generate and/or update a three-dimensional (3D) model of the physical environment 108. Data from the outward facing image sensors may be used by the processor 132 to identify surfaces of the physical environment 108 and/or measure one or more surface parameters of the physical environment 108. The processor 132 may execute instructions to generate/update 3D models and identify surfaces of the physical environment 108 in any suitable manner. In one example, depth maps derived from depth data provided by the depth camera of outward facing image sensor may be used to generate/update 3D models and identify surfaces of the physical environment 108.
A controller 160 of the HMD device 104 may include a logic subsystem 162, a storage subsystem 164, and a communication subsystem 166. The logic subsystem 162 may include one or more processors 132 configured to execute software instructions. Logic subsystem 162, storage subsystem 164, and communication subsystem 166 are described in more detail below in regard to
The processor 132 of the HMD device 104 is operatively coupled to the display panels 146R and 146L and to other display-system componentry. The processor 132 includes logic and associated computer memory configured to provide image signals to the display panels 146R and 146L, to receive sensory signals from a sensor system 152, and to enact various control processes described herein. The sensor system 152 may include one or more location sensors 128, one or more optical sensors 136, a gaze detection system 154, one or more microphones 156, as well as one or more speakers 158. The processor 132 may be further configured to provide signals to the sensor system 152.
Turning now to
In this example, data from the outward facing image sensors may be used by the processor 232 to determine the location and orientation of a physical object 238 in the physical environment 208 that occludes the field of view of the user 202 of the HMD device 204.
An HMD device according to any examples described herein may further include any other suitable location-sensitive input devices than optical sensors, such as a directional microphone array or other location-sensitive acoustic input sensor. Additionally, although
Additionally or alternatively, information from outward facing image sensors and/or other sensors may be communicated to a remote computing device, such as server 111 in
Referring to
In some situations, the number of HMD devices may be great, the physical environment 108 large, and/or HMD devices may be nearby that are not in the same physical environment 108, such as in an adjacent room. In these situations, it is not desirable for each HMD device to connect to each other HMD device that is discovered to be present on a wireless network. Rather, in such situations, each HMD device may seek to define a subset of peer HMD devices among all detected HMD devices with which position information will be exchanged for the purpose of determining an acceptable common viewing display position. Accordingly, the processor 132 may be further configured to identify at least one peer HMD device 114 and 122 from the one or more proximal HMD devices based on one or more logical constraints that are used to define the peer group. The one or more logical constraints may include, but are not limited to, at least one of: the one or more proximal HMD devices being within a predetermined distance of the determined location of the HMD device 104, the one or more proximal HMD devices being within a predetermined area relative to the HMD device 104, the one or more proximal HMD devices belonging to a predetermined group with the HMD device 104, and the one or more proximal HMD devices joining a peer group upon detection as a proximal HMD device.
Upon identification of the at least one peer HMD device 114 and 122, the communication unit 130 of the HMD device 104 may be configured to receive peer location data from at least one peer HMD device 114 and 122 in the physical environment 108 and transmit location data about the HMD device 104 to the at least one peer HMD device 114 and 122. The peer location data may include, but are not limited to, at least one of: the field of view 116 and 124 of the peer HMD devices 114 and 122, surface data about surfaces within the field of view 116 and 124 of the peer HMD devices 114 and 122, and candidate positions at which the augmented reality image 110 may be displayed and viewed in the physical environment 108 by the HMD device 104 and the at least one peer HMD device 114 and 122. Based on the received peer location data, the HMD device 104 may assign and store device locations for the at least one peer HMD device 114 and 122 within the coordinate frame established by the HMD device 104 for the physical environment 108. It is understood that the location data of the HMD device 104 and the peer location of the at least one peer HMD device 114 and 122 may be mapped in either a ‘world space’ or a ‘head space.’ In the ‘world space’ the location data and peer location data may be marked with a transform relative to known locations in the coordinate frame for the physical environment 108, such as known map locations. In the ‘head space’ the location data and peer location data may be marked relative to the HMD device 104 and the at least one peer HMD devices 114 and 122, respectively.
As an example, the received peer location data may include peer surface data about surfaces within a peer field of view 116 and 124 of the at least one peer HMD device and may be stored, for example, as a three-dimensional mesh of the physical environment 108, or the received peer location data may include peer candidate positions at which the augmented reality image 110 can be displayed and viewed in the physical environment 108 by the at least one peer HMD device 114 and 122 and stored as a list of candidate coordinates in the physical environment 108 at which the augmented reality image 110 may be displayed.
When the candidate positions comprise a list of candidate coordinates, each coordinate may represent a single point in the physical environment 108, a two-dimensional area on a surface in the physical environment 108, or a three-dimensional area in the physical environment 108. Additionally, each of these coordinate lists may further be associated with an acceptable deviation of the candidate position from the candidate coordinate. For example, in a case where a list of candidate coordinates is represented by single points in the physical environment 108, a one-, two-, or three-dimensional deviation from that point may be allowable when calculating compatible positions, as described below. The peer location data further may comprise information regarding physical objects in the physical environment 108 that may visually occlude an augmented reality image 110. Alternatively, this physical object information may be incorporated into the peer surface data and/or the peer candidate positions prior to receipt of the peer location data by the HMD device 104. To enable comparison across HMD devices, the peer location data of the peer HMD devices 114 and 122 and the location data of the HMD device 104 may further include packaged map information (such as images, features point sets, etc.) and anchor information (such as locations relative to the feature point sets). This packaged map information and anchor information may then be merged to standardize coordinate frames of the physical environment 108 across all HMD devices. Alternatively, map data about the physical environment 108 may be communicated between the HMD device 104 and the peer HMD devices 114 and 122 ahead of time to standardize the coordinate frame of the physical environment 108 across all HMD devices, and additional dynamic surface data and/or occlusion data could then be communicated over the network at runtime as the surface data deviated from the initial map.
To facilitate a shared viewing experience, the HMD device 104 may also be configured to identify compatible positions at which the augmented reality image 110 can be displayed and viewed in the physical environment 108 by the HMD device 104 and the at least one peer HMD device 114 and 122. As such, in the example described above in which the received peer location data comprises peer candidate positions, the processor 132 may be further configured to compare the peer candidate positions of the one or more peer HMD devices to the candidate positions of the HMD device 104 and determine overlapping positions visible by both the HMD device 104 and the at least one peer HMD device 114 and 122. These overlapping positions are positions within visible area 126, which is the shaded region in
In another example described above in which the peer location data comprises peer surface data about surfaces within a peer field of view, the processor 132 may be further configured to create a union of the surface data of the HMD device 104 and the received peer surface data of the one or more peer HMD devices 114 and 122 to determine overlapping positions in the physical environment 108 visible by both the HMD device 104 and the at least one peer HMD device 114 and 122. This union may be represented by a mesh reconstruction of the physical environment 108 and include information about potential display surfaces and visually occluding objects, such as physical object 238 described above. Furthermore, the processor 132 may be configured to select the display position D from the compatible positions based on one or more logical constraints. In addition to the logical constraints described above for selecting the display position D from compatible positions identified from peer location data comprising peer candidate positions, example logical constraints may further include an unoccupied surface as opposed to a cluttered surface, a center of the largest surface in the physical environment 108 (e.g. the center of a table or stage), and/or a surface which is the most equidistant from all of the device locations.
In short, based at least on the determined field of view 106 of HMD device 104 and the received location data of peer HMD devices 114 and 122, the processor 132 is configured to identify a display position D at which the augmented reality image can be displayed and viewed in the physical environment 108 by the HMD device 104 and the at least one peer HMD device 114 and 122. Although, the display position D shown in
Further, the processor 132 of the present disclosure is further configured to display the augmented reality image 110 at the display position D on the at least partially see-through display 134 of the HMD device 104. The size of the displayed augmented reality image 110 may vary, since the relative aspect ratios of the augmented reality image 110 and the HMD field of view 106 may vary depending upon an apparent distance from the HMD device 104 at which the augmented reality image 110 is to appear when displayed. Thus, in some examples, the HMD device 104 may be configured to position the augmented reality image 110 at a preselected virtual distance from the HMD device 104 for comparing the dimensional information of the augmented reality image 110 and the HMD field of view 106. Positioning the augmented reality image 110 in this way may prevent the augmented reality image 110 from being displayed either too large or too small for the user 102 of the HMD device 104 to view comfortably and/or completely.
In some examples, a 6DOF position sensor system may be used to display the augmented reality image 110 in a world-locked manner after the display position D has been identified, as described above. As discussed briefly above, a world-locked augmented reality image 110 appears to be fixed relative to one or more real world objects viewable through the HMD device 104, thereby enabling a user 102 of the HMD device 104 to move around a real world physical environment 108 while perceiving a world-locked augmented reality image 110 as remaining in a fixed location relative to the one or more real world objects in the physical environment 108.
It is understood that, since the same location data is transmitted between the HMD device and the one or more peer HMD devices 114 and 122, an equivalent determination of a display position D may also be carried out in each of the peer HMD devices 114 and 122. For example, peer HMD 114 may receive location data from HMD device 104 and peer HMD device 122. However, from a perspective of peer HMD device 114, HMD device 104 and peer HMD device 122 are both peer HMD devices, and peer HMD device 114 is the HMD device. Since the same location data is used by all of the devices 104, 114. And 122, and the calculations are equivalent, each device 104, 114. And 122 may independently determine the same set of compromise positions and the same display position D. Thus, the one or more peer HMD devices 114 and 122 and the HMD device 104 may display the augmented reality image 110 at the same display position D in the physical environment 108. Alternatively, a central processing strategy utilizing server 111, or a super node processing strategy utilizing HMD devices designated as super nodes within a mesh network of HMD devices may be utilized such that only server 111 or only HMD devices designated as super nodes perform the calculations to identify display position D.
In some examples of the HMD device disclosed herein, the augmented reality image displayed at the display position by the HMD device may be a virtual presenter, such as an animated image or likeness of a person, robot, creature, or other object. As one non-limiting example,
As depicted in
Referring again to
At 602, the method may include determining a location of one or more location sensors of an HMD device in a physical environment. Additionally, an orientation of the HMD device may be determined via the location sensors and/or optical sensors. At 604, the method may include determining a field of view of the HMD device. At 606, the method may include identifying candidate positions at which the augmented reality image may be displayed and viewed within the field of view of the HMD device. At 608, the method may include identifying peer HMD devices of the subject HMD device in the physical environment. To identify peer HMD devices, a subject HMD device may send an enumeration request to discover HMD devices over a wireless network, and may apply one or more logical constraints, as discussed above. Once the peer HMD devices are identified, at 610 the method may include, at the HMD device receiving peer location data from at the least one peer HMD device in the physical environment via a communication unit of the HMD device, and at 612, as well as transmitting location data about the HMD device to the at least one peer HMD device via the communication unit. In any of the communication steps, the HMD device may communicate directly with the peer HMD devices, or the HMD device may be connected to an external computing system, such as a server, via a network, and the external computing device may instead transmit communications between the devices.
Continuing with method 600, at 614, the method may include identifying compatible positions at which the augmented reality image can be displayed and viewed in the physical environment by the HMD device and the at least one peer HMD device. Any suitable localization method may be used. As a non-limiting example, the processor of the HMD device may compare peer candidate positions of the one or more peer HMD devices, received as a part the peer location data, to the candidate positions of the HMD device identified above, and identify the candidate positions as overlapping positions visible by both the HMD device and the at least one peer HMD device. In another example, the optical sensors of the HMD device may acquire surface data about surfaces within the field of view, and the processor of the HMD device may be configured to create a union of surface data of the HMD device and the received peer surface data of the one or more peer HMD devices, received as a part the peer location data, and identify the candidate positions as overlapping positions in the physical environment visible by both the HMD device and the at least one peer HMD device.
At 616, HMD device may, based at least on the determined field of view and the received peer location data, identify a display position at which an augmented reality image can be displayed and viewed in the physical environment by the HMD device and the at least one peer HMD device with the processor. The display position may be selected from the compatible positions based on one or more logical constraints, as described in detail above. At 618, the HMD device may display the augmented reality image at the display position on an at least partially see-through display of the HMD device. It will be appreciated that the received peer location data and transmitted location data are also available to the peer HMD devices. Therefore, each of the peer HMD devices may carry out an analogous method to determine the display position which will result in display of the augmented reality image at the same position in the physical environment as that of the HMD device. Alternatively, the display position may be determined by an external computing device, such as a server, and transmitted to both the HMD device and the one or more peer HMD devices, or the HMD device may exert a super node relationship as compared to the peer HMD devices and directly transmit the display position to the one or more peer HMD devices. Importantly, in each of these examples, the HMD device and the one or more peer HMD devices will display an augmented reality image at the same position in the physical environment.
In another non-limiting example, the method may include displaying the augmented reality image as a virtual presenter. Further, the method may include identifying a presentation position at which a presentation image can be displayed and viewed in the physical environment by the HMD device with the virtual presenter, where the presentation position is based at least on the location of the HMD device, the display position, and an area occupied by the virtual presenter. Based at least on one of: the display position, the presentation position, the location of the one or more location sensors and the peer location data, the method may further include determining a plurality of focal points and displaying the presentation image at the presentation position on the at least partially see-through display of the HMD device. Finally, the method may further include animating the virtual presenter to perform a script, wherein the script includes gestures and focal point information about the plurality of focal points, and the gestures of the virtual presenter depend at least on the focal point information. It will be appreciated that the augmented reality image may be a virtual presenter without the identification of a presentation position or the display of a presentation image by the HMD device.
In any of the examples disclosed herein, the communication unit of the HMD device of the present disclosure may be further configured to determine that an additional HMD device has entered the physical environment and receive additional location data from the additional HMD device. Additionally, the processor of the HMD device may be further configured to transmit an instruction, either directly or indirectly, to the additional HMD device indicating an unoccupied position nearest to the additional HMD device at which the augmented reality image displayed at the display position can be viewed by the additional HMD device. This allows for the additional HMD device to join a viewing experience after it has begun, without disrupting the visual display of augmented reality images for the original HMD devices.
It will be appreciated that the server may be configured to control augmented reality image localization for multiple HMD devices. In this example, the server may include memory to store a representation of a physical environment and a processor. The processor of the server may be configured to receive location data from the HMD devices in the physical environment, determine a field of view each of the HMD devices, identify a display position at which an augmented reality image can be displayed and viewed in the physical environment by all of the HMD devices based on at least on the determined field of view and the received location data, and propagate the display position back to the HMD devices to cause display of the augmented reality image at the display position on an at least partially see-through display of each of the HMD devices.
The server may be further configured such that the augmented reality image is a virtual presenter, and the processor of the server may be configured to determine a plurality of focal points based at least on one of: the display position and the location data. In some examples, the processor may be further configured to identify a plurality of presentation positions at which a presentation image can be displayed and viewed in the physical environment by each of the HMD devices with the virtual presenter, based at least on the location data, the display position, and an area occupied by the virtual presenter. In this example, the processor may determine the plurality of focal points based at least on one of: the display position, the plurality of presentation positions and the location data.
For each example in which the augmented reality image is a virtual presenter, the processor of the server may be further configured to create an animation of the virtual presenter to perform a script, wherein the script comprises gestures and focal point information about the plurality of focal points, and the gestures of the virtual presenter depend at least on the focal point information. Additionally, the processor may be further configured to propagate the animation back to each of the HMD devices to cause animation of the virtual presenter on the at least partially see-through display of each of the HMD devices. In the examples in which the processor is configured to identify a plurality of presentation positions, the processor may also be configured to propagate the plurality of presentation positions back to each of the HMD devices to cause display of the presentation image at one of the plurality of presentation positions on the at least partially see-through display of each of the HMD devices.
It will further be appreciated that method 600 is provided by way of example and is not meant to be limiting. Therefore, it is to be understood that method 600 may include additional and/or alternative steps relative to those illustrated in
Display system 104 further includes a sensor subsystem 152, which includes one or more optical sensor(s) 128, examples of which may include but are not limited to outward-facing image sensors configured to acquire images of a physical environment, and one or more location sensor(s) 128, examples of which may include but are not limited to an accelerometer, a gyroscopic sensor, a magnetometer, a global positioning system (GPS) sensor, and an inertial measurement unit (IMU). Such sensor(s) may help to determine the position, location, and/or orientation of the display device within the environment, which may be used to help determine the positions, locations, and/or orientations of other display devices being used by other people relative to display system 104, e.g. to determine the orientation of the display system 104 relative to other display devices. Optical sensors 128 may include one or more depth sensor(s) and/or one or more two-dimensional image sensor(s) (e.g. RGB image sensors). Display system 104 may display completely virtual scenes via display subsystem 134, may display video-based augmented reality images via a viewfinder mode using data from an outward-facing image sensor, or may display augmented reality images via a see-through display subsystem.
Sensor subsystem 152 may further include a gaze detection subsystem 154 configured to detect a gaze direction of a user as user input for computing device actions. Gaze detection subsystem 154 may be configured to determine gaze directions of each of a user's eyes in any suitable manner. For example, gaze detection subsystem 154 may comprise one or more glint sources, such as infrared light sources, configured to cause a glint of light to reflect from each eyeball of a user, and one or more image sensor(s), such as inward-facing sensors, configured to capture an image of each eyeball of the user. In other examples, gaze detection subsystem 154 may be omitted.
Display system 104 also may include additional sensors, as mentioned above. For example, display system 104 may include and one or more microphones 156 configured to detect sounds. Motion sensors, as well as microphone(s) 156 and gaze detection subsystem 154, also may be employed as user input devices, such that a user may interact with the display system 104 via gestures of the eye, neck and/or head, as well as via verbal commands. It will be understood that sensors illustrated in
Display system 104 further includes one or more speaker(s) 158, for example, to provide audio outputs to a user for user interactions. Display system 104 further includes a controller 160 having a logic subsystem 162 and a storage subsystem 164 in communication with the sensors, gaze detection subsystem 154, display subsystem 134, and/or other components. Storage subsystem 164 comprises instructions stored thereon that are executable by logic subsystem 162, for example, to perform various tasks related to determining a display position of an augmented reality image, as disclosed herein. Logic subsystem 162 includes one or more physical devices configured to execute instructions. Communication subsystem 166 may be configured to communicatively couple the display system 104 with one or more other computing devices. Logic subsystem 162, storage subsystem 164, and communication subsystem 166 are described in more detail below in regard to
Display system 104 is described for the purpose of example, and thus is not meant to be limiting. It is to be understood that display system 104 may include additional and/or alternative sensors, cameras, microphones, input devices, output devices, etc. than those shown without departing from the scope of this disclosure. Near-eye display system 104 may be implemented as a virtual reality display system or an augmented reality system. Additionally, the physical configuration of a display device and its various sensors and subcomponents may take a variety of different forms without departing from the scope of this disclosure. Further, it will be understood that the methods and processes described herein may be implemented as a computer-application program or service, an application-programming interface (API), a library, and/or other computer program product. Such computer program products may be executable locally on display system 104 or other suitable display system, or may be executable remotely on a computing system in communication with display system 104.
The computing system 800 includes a logic subsystem 802 and a storage subsystem 804. The computing system 800 may optionally include a display subsystem 806, input subsystem 808, communication subsystem 810, and/or other components not shown in
Logic subsystem 802 includes one or more physical devices configured to execute instructions. For example, logic subsystem 802 may be configured to execute instructions that are part of one or more applications, services, programs, routines, libraries, objects, components, data structures, or other logical constructs. Such instructions may be implemented to perform a task, implement a data type, transform the state of one or more components, achieve a technical effect, or otherwise arrive at a desired result.
Logic subsystem 802 may include one or more processors configured to execute software instructions. Additionally or alternatively, logic subsystem 802 may include one or more hardware or firmware logic subsystems configured to execute hardware or firmware instructions. Processors of logic subsystem 802 may be single-core or multi-core, and the instructions executed thereon may be configured for sequential, parallel, and/or distributed processing. Individual components of logic subsystem 802 optionally may be distributed among two or more separate devices, which may be remotely located and/or configured for coordinated processing. Aspects of logic subsystem 802 may be virtualized and executed by remotely accessible, networked computing devices configured in a cloud-computing configuration.
Storage subsystem 804 includes one or more physical devices configured to hold instructions executable by the logic subsystem 802 to implement the methods and processes described herein. When such methods and processes are implemented, the state of storage subsystem 804 may be transformed—e.g., to hold different data.
Storage subsystem 804 may include removable and/or built-in devices. Storage subsystem 804 may include optical memory (e.g., CD, DVD, HD-DVD, Blu-Ray Disc, etc.), semiconductor memory (e.g., RAM, EPROM, EEPROM, etc.), and/or magnetic memory (e.g., hard-disk drive, floppy-disk drive, tape drive, MRAM, etc.), among others. Storage subsystem 804 may include volatile, nonvolatile, dynamic, static, read/write, read-only, random-access, sequential-access, location-addressable, file-addressable, and/or content-addressable devices.
It will be appreciated that storage subsystem 804 includes one or more physical devices. However, aspects of the instructions described herein alternatively may be propagated by a communication medium (e.g., an electromagnetic signal, an optical signal, etc.) that is not held by a physical device for a finite duration.
Aspects of logic subsystem 802 and storage subsystem 804 may be integrated together into one or more hardware-logic components. Such hardware-logic components may include field-programmable gate arrays (FPGAs), program- and application-specific integrated circuits (PASIC/ASICs), program- and application-specific standard products (PSSP/ASSPs), system-on-a-chip (SOC), and complex programmable logic devices (CPLDs), for example.
When included, display subsystem 806 may be used to present a visual representation of data held by storage subsystem 804. This visual representation may take the form of virtual objects and images presented for an immersive virtual or augmented reality experience. As the herein described methods and processes change the data held by the storage subsystem, and thus transform the state of the storage subsystem, the state of display subsystem 806 may likewise be transformed to visually represent changes in the underlying data. Display subsystem 806 may include one or more display devices utilizing virtually any type of technology. Such display devices may be combined with logic subsystem 802 and/or storage subsystem 804 in a shared enclosure, or such display devices may be peripheral display devices.
When included, input subsystem 808 may comprise or interface with one or more user-input devices such as a keyboard, mouse, touch screen, or game controller. In some embodiments, the input subsystem may comprise or interface with selected natural user input (NUI) componentry. Such componentry may be integrated or peripheral, and the transduction and/or processing of input actions may be handled on- or off-board. Example NUI componentry may include a microphone for speech and/or voice recognition; an infrared, color, stereoscopic, and/or depth camera for machine vision and/or gesture recognition; a head tracker, eye tracker, accelerometer, and/or gyroscope for motion detection and/or intent recognition; as well as electric-field sensing componentry for assessing brain activity.
Communication subsystem 810 may include a communication unit and may be configured to communicatively couple computing system 800 with one or more other computing devices. Communication subsystem 810 may include wired and/or wireless communication devices compatible with one or more different communication protocols. As non-limiting examples, communication subsystem 810 may be configured for communication via a wireless telephone network, or a wired or wireless local- or wide-area network. In some embodiments, communication subsystem 810 may allow computing system 800 to send and/or receive messages to and/or from other devices via a network such as the Internet.
It will be understood that the configurations and/or approaches described herein are exemplary in nature, and that these specific embodiments or examples are not to be considered in a limiting sense, because numerous variations are possible. The specific routines or methods described herein may represent one or more of any number of processing strategies. As such, various acts illustrated and/or described may be performed in the sequence illustrated and/or described, in other sequences, in parallel, or omitted. Likewise, the order of the above-described processes may be changed.
The subject matter of the present disclosure includes all novel and nonobvious combinations and subcombinations of the various processes, systems and configurations, and other features, functions, acts, and/or properties disclosed herein, as well as any and all equivalents thereof.
This application is a continuation from U.S. patent application Ser. No. 15/409,472, filed Jan. 18, 2017, which claims priority to U.S. Provisional Patent Application No. 62/349,597, filed Jun. 13, 2016, the entirety of each of which is hereby incorporated herein by reference.
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Number | Date | Country | |
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20190324277 A1 | Oct 2019 | US |
Number | Date | Country | |
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62349597 | Jun 2016 | US |
Number | Date | Country | |
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Parent | 15409472 | Jan 2017 | US |
Child | 16457640 | US |