Abstract: Embodiments of this application provide a sensor calibration method, apparatus, and device, a data measurement method, apparatus, and device, and a storage medium, where the sensor calibration method includes: acquiring a gravity of a sensor itself and a static force measured in a case that the sensor is in a static state and has no external acting force; performing equivalent calibration processing on the gravity and the static force to obtain a calibrated static force; acquiring a dynamic force measured in a case that the sensor is in a motion state and has no external acting force; performing zero drift processing on the dynamic force according to the calibrated static force to obtain a calibrated dynamic force; and using the calibrated dynamic force as a calibration parameter for performing calibration in a case that the sensor measures an external acting force, to obtain a calibrated sensor with the calibration parameter.

Abstract: This application discloses a motion platform, a haptic feedback device, and a human-computer interactive system. The motion platform includes a first platform, a second platform and a linkage assembly, the first platform and the second platform being connected by the linkage assembly, the second platform being configured to move relative to the first platform. The first platform comprises a first power take-off and a second power take-off, the first power take-off comprising a first output shaft and the second power take-off comprising a second output shaft. The linkage assembly comprises a first parallelogram linkage mechanism and a second parallelogram linkage mechanism connected to each other, and a two-bar linkage mechanism. The two-bar linkage mechanism and the first parallelogram linkage mechanism have the same plane of motion, and the second output shaft being configured to drive motion of the two-bar linkage mechanism.

Abstract: This disclosure provides a flexible capacitor array and a preparation method therefor, a capacitor array detection system, and a robot. The flexible capacitor array includes: a first flexible electrode layer including a first electrode array; a second flexible electrode layer including a second electrode array arranged opposite to the first electrode array; and a spacer layer and a dielectric layer, the spacer layer and the dielectric layer being arranged between each electrode pair arranged opposite in the first electrode array and the second electrode array. A unit capacitor in the flexible capacitor array includes the electrode pair, the spacer layer, and the dielectric layer.

Abstract: A method of depth map completion is described. A color map and a sparse depth map of a target scenario can be received. Resolutions of the color map and the sparse depth map are adjusted to generate n pairs of color maps and sparse depth maps of n different resolutions. The n pairs of color maps and the sparse depth maps can be processed to generate n prediction result maps using a cascade hourglass network including n levels of hourglass networks. Each of the n pair is input to a respective one of the n levels to generate the respective one of the n prediction result maps. The n prediction result maps each include a dense depth map of the same resolution as the corresponding pair. A final dense depth map of the target scenario can be generated according to the dense depth maps.

Abstract: A flexible capacitive tactile sensor is provided. The flexible capacitive tactile sensor may include a first flexible electrode layer, a second flexible electrode layer, and an ion gel thin film dielectric layer disposed between the first flexible electrode layer and the second flexible electrode layer. A first electrode array is disposed on the first flexible electrode layer. The first electrode array may include m series-connected electrodes parallel to a second direction. A second electrode array is disposed on the second flexible electrode layer. The second electrode array may include n series-connected electrodes parallel to a first direction. The first electrode array and the second electrode array may be disposed opposite to each other, and the first direction may be different from the second direction. The first electrode array, the second electrode array, and the ion gel thin film dielectric layer may form m×n electric double layer capacitors.

Abstract: A slip sensation simulation apparatus includes a base, a first haptic assembly, and a second haptic assembly. The first haptic assembly includes a first synchronous belt, a plurality of first synchronous wheels, and a first motor. The first motor is in a transmission connection with one of the first synchronous wheels, to drive the first synchronous wheels and the first synchronous belt to rotate. The second haptic assembly includes a second synchronous belt, a plurality of second synchronous wheels, and a second motor. The second motor is in a transmission connection with one of the second synchronous wheels, to drive the second synchronous wheels and the second synchronous belt to rotate. The first synchronous belt is located at an inner side of the second synchronous belt. Rotational axial directions of the first and second synchronous belts are different. The first synchronous belt is in contact with the second synchronous belt.

Abstract: This disclosure relates to a sensor, a sensing device, and a sensing method. The sensor may include an upper electrode layer, a dielectric layer, and a lower electrode layer. A first dielectric layer surface of the dielectric layer may be attached to a first upper electrode surface of the upper electrode layer. A second dielectric layer surface of the dielectric layer may be attached to a first lower electrode surface of the lower electrode layer. The second dielectric layer surface may be opposite to the first dielectric layer surface. The upper electrode layer may include at least two sub-upper electrodes arranged in an array. An electrode gap may exist between the at least two sub-upper electrodes.

Abstract: An artificial intelligence-based action recognition method includes: determining, according to video data comprising an interactive object, node sequence information corresponding to video frames in the video data, the node sequence information of each video frame including position information of nodes in a node sequence, the nodes in the node sequence being nodes of the interactive object that are moved to implement a corresponding interactive action; determining action categories corresponding to the video frames in the video data, including: determining, according to the node sequence information corresponding to N consecutive video frames in the video data, action categories respectively corresponding to the N consecutive video frames; and determining, according to the action categories corresponding to the video frames in the video data, a target interactive action made by the interactive object in the video data.

Abstract: The discussion relates to context-aware environments. One example can include inwardly-facing cameras positioned around a periphery of an environment that defines a volume. The example can also include sensors positioned relative to the volume and configured to communicate with a user device in the volume. The example can also include an ambient perception component configured to track user locations in the volume and to detect user gestures relative to objects in the volume, and responsive to receiving a query from the user's device, to supplement the query with information derived from the objects.

Abstract: A method for determining a plurality of layers of bounding boxes of an object includes determining a polyhedron capable of accommodating the object therein as a first-layer bounding box. The method also includes selecting one vertex from a plurality of vertices of the first-layer bounding box as a target vertex, and determining, by processing circuitry of a computing device, a support plane of the object. The support plane has a normal vector that has a specific direction corresponding to the target vertex and that is closest to the target vertex, the support plane being a plane passing through a point on a surface of the object such that the object is completely located on one side of the support plane. The method further includes cutting the first-layer bounding box based on at least the support plane to form a smaller bounding box, as a second-layer bounding box.

Abstract: A vision-based tactile measurement method is provided, performed by a computer device (e.g., a chip) connected to a tactile sensor, the tactile sensor including a sensing face and an image sensing component, and the sensing face being provided with a marking pattern. The method includes: obtaining an image sequence collected by the image sensing component of the sensing face, each image of the image sequence comprising one instance of the marking pattern; calculating a difference feature of the marking patterns in adjacent images of the image sequence; and processing the difference feature of the marking patterns using a feedforward neural network to obtain a tactile measurement result, a quantity of hidden layers in the feedforward neural network being less than a threshold.

Abstract: The discussion relates to 4D tracking. One example can utilize multiple 3D cameras positioned relative to an environment to sense depth data of the environment from different viewpoints over time. The example can process the depth data to construct 3D solid volume representations of the environment, select subjects from the 3D solid volume representations, and recognize actions of the selected subjects.

Abstract: The discussion relates to context-aware environments. One example can include inwardly-facing cameras positioned around a periphery of an environment that defines a volume. The example can also include sensors positioned relative to the volume and configured to communicate with a user device in the volume. The example can also include an ambient perception component configured to track user locations in the volume and to detect user gestures relative to objects in the volume, and responsive to receiving a query from the user's device, to supplement the query with information derived from the objects.

Abstract: The discussion relates to inventory control. In one example, a set of ID sensors can be employed in an inventory control environment and subsets of the ID sensors can collectively sense tagged items in shared space. Data from the subset of ID sensors can indicate when a user has taken possession of an individual tagged item in the shared space.

Abstract: The discussion relates to inventory control. In one example, a set of ID sensors can be employed in an inventory control environment and subsets of the ID sensors can collectively sense tagged items in shared space. Data from the subset of ID sensors can indicate when a user has taken possession of an individual tagged item in the shared space.

Abstract: The discussion relates to context-aware environments. One example can include inwardly-facing cameras positioned around a periphery of an environment that defines a volume. The example can also include sensors positioned relative to the volume and configured to communicate with a user device in the volume. The example can also include an ambient perception component configured to track user locations in the volume and to detect user gestures relative to objects in the volume, and responsive to receiving a query from the user's device, to supplement the query with information derived from the objects.

Abstract: The discussion relates to context-aware environments. One example can include inwardly-facing cameras positioned around a periphery of an environment that defines a volume. The example can also include sensors positioned relative to the volume and configured to communicate with a user device in the volume. The example can also include an ambient perception component configured to track user locations in the volume and to detect user gestures relative to objects in the volume, and responsive to receiving a query from the user's device, to supplement the query with information derived from the objects.

Abstract: Techniques for recording and replay of a live conference while still attending the live conference are described. A conferencing system includes a user interface generator, a live conference processing module, and a replay processing module. The user interface generator is configured to generate a user interface that includes a replay control panel and one or more output panels. The live conference processing module is configured to extract information included in received conferencing data that is associated with one or more conferencing modalities, and to display the information in the one or more output panels in a live manner (e.g., as a live conference). The replay processing module is configured to enable information associated with the one or more conferencing modalities corresponding to a time of the conference session prior to live to be presented at a desired rate, possibly different from the real-time rate.

Abstract: The disclosure relates to tracking the location of a target object. In one example, a computer vision system detects a configuration of environment objects. A location model that has been trained for the environment configuration is selected. A signal associated with the target object is received and interpreted using the selected location model to determine the location of the target object.

Abstract: The discussion relates to context-aware environments. One example can include inwardly-facing cameras positioned around a periphery of an environment that defines a volume. The example can also include sensors positioned relative to the volume and configured to communicate with a user device in the volume. The example can also include an ambient perception component configured to track user locations in the volume and to detect user gestures relative to objects in the volume, and responsive to receiving a query from the user's device, to supplement the query with information derived from the objects.