Touch-sensing system including a touch-sensitive paper

    公开(公告)号:US11481077B2

    公开(公告)日:2022-10-25

    申请号:US16978954

    申请日:2019-03-26

    Abstract: A touch sensing system is configured to determine a state of a paper material indicative of a touch input on the paper material. The actions include receiving one or more values of features representing physical properties of a paper material. The system generates, by a pair of electrodes in a conductive material that is electrically connected with the paper material, an electric field in the conductive material. The paper material is configured to shunt current from the conductive material when the paper material is touched. The system measures the electric field in the conductive material in the conductive material. The system generates an approximation of the electric field in the conductive material. The system determines with a classifier a state of the paper material indicative of a touch input on the paper material.

    SYSTEM AND METHOD FOR ACOUSTIC ACTIVITY RECOGNITION

    公开(公告)号:US20220005454A1

    公开(公告)日:2022-01-06

    申请号:US17377347

    申请日:2021-07-15

    Abstract: Embodiments are provided to recognize features and activities from an audio signal. In one embodiment, a model is generated from sound effect data, which is augmented and projected into an audio domain to form a training dataset efficiently. Sound effect data is data that has been artificially created or from enhanced sounds or sound processes to provide a more accurate baseline of sound data than traditional training data. The sound effect data is augmented to create multiple variants to broaden the sound effect data. The augmented sound effects are projected into various audio domains, such as indoor, outdoor, urban, based on mixing background sounds consistent with these audio domains. The model is installed on any computing device, such as a laptop, smartphone, or other device. Features and activities from an audio signal are then recognized by the computing device based on the model without the need for in-situ training.

    SYSTEM AND METHOD FOR ACOUSTIC ACTIVITY RECOGNITION

    公开(公告)号:US20200051544A1

    公开(公告)日:2020-02-13

    申请号:US16539586

    申请日:2019-08-13

    Abstract: Embodiments are provided to recognize features and activities from an audio signal. In one embodiment, a model is generated from sound effect data, which is augmented and projected into an audio domain to form a training dataset efficiently. Sound effect data is data that has been artificially created or from enhanced sounds or sound processes to provide a more accurate baseline of sound data than traditional training data. The sound effect data is augmented to create multiple variants to broaden the sound effect data. The augmented sound effects are projected into various audio domains, such as indoor, outdoor, urban, based on mixing background sounds consistent with these audio domains. The model is installed on any computing device, such as a laptop, smartphone, or other device. Features and activities from an audio signal are then recognized by the computing device based on the model without the need for in-situ training.

    MULTIVIEW DEPTH-SENSING WEARABLE DEVICE
    6.
    发明公开

    公开(公告)号:US20240144727A1

    公开(公告)日:2024-05-02

    申请号:US18384673

    申请日:2023-10-27

    CPC classification number: G06V40/28 G06T7/55 G06T2207/10028

    Abstract: A wearable device has a plurality of sensors surrounding a user's arm or wrist and provides depth information about the user's environment. Each sensor in the plurality of sensors has a field-of-view that may include the user's arm, torso, and surrounding environment. A controller receives data from the plurality of sensors and merges the data to create a composite image or depth point cloud. The device utilizes low-resolution sensors, with the composite image having a greater resolution and field-of-view than any individual sensor. The device is worn on the user's arm or wrist and can be used for static or continuous hand pose estimation, whole-arm pose estimation, and object detection, among other applications.

    System and method for acoustic activity recognition

    公开(公告)号:US11069334B2

    公开(公告)日:2021-07-20

    申请号:US16539586

    申请日:2019-08-13

    Abstract: Embodiments are provided to recognize features and activities from an audio signal. In one embodiment, a model is generated from sound effect data, which is augmented and projected into an audio domain to form a training dataset efficiently. Sound effect data is data that has been artificially created or from enhanced sounds or sound processes to provide a more accurate baseline of sound data than traditional training data. The sound effect data is augmented to create multiple variants to broaden the sound effect data. The augmented sound effects are projected into various audio domains, such as indoor, outdoor, urban, based on mixing background sounds consistent with these audio domains. The model is installed on any computing device, such as a laptop, smartphone, or other device. Features and activities from an audio signal are then recognized by the computing device based on the model without the need for in-situ training.

    Virtual sensor system
    8.
    发明授权

    公开(公告)号:US10436615B2

    公开(公告)日:2019-10-08

    申请号:US15961537

    申请日:2018-04-24

    Abstract: A sensing system includes a sensor assembly that is communicably connected to a computer system, such as a server or a cloud computing system. The sensor assembly includes a plurality of sensors that sense a variety of different physical phenomena. The sensor assembly featurizes the raw sensor data and transmits the featurized data to the computer system. Through machine learning, the computer system then trains a classifier to serve as a virtual sensor for an event that is correlated to the data from one or more sensor streams within the featurized sensor data. The virtual sensor can then subscribe to the relevant sensor feeds from the sensor assembly and monitor for subsequent occurrences of the event. Higher order virtual sensors can receive the outputs from lower order virtual sensors to infer nonbinary details about the environment in which the sensor assemblies are located.

    System and Process for Enabling Secure, Instant, and Anonymous Communication Between Physically Touching Devices

    公开(公告)号:US20190138063A1

    公开(公告)日:2019-05-09

    申请号:US16095620

    申请日:2017-04-20

    Abstract: The present invention includes provides secure, instant, and anonymous connections between two devices. The invention pairs a “cap” device with a capacitive touchscreen to a “cam” device with a camera sensor. For example, typical smartphones and tablets can be paired with each other, and these devices can be paired to even larger touchscreens, such as smart whiteboards and touchscreen monitors. The invention uses the cap device's touchscreen to detect and track the cam device, and displays color-modulated pairing data directly underneath the camera once the camera is touching the screen. The pairing data is used as configuration data for a bidirectional link, such as an ad-hoc WiFi or Bluetooth link. These links are established without requiring user configuration. As such, the present invention provides a unidirectional communication mechanism from the touchscreen to the camera, which is used to bootstrap a full bidirectional, high-speed link.

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