Tap and gesture detection using accelerometer data

    公开(公告)号:US11775082B2

    公开(公告)日:2023-10-03

    申请号:US17898869

    申请日:2022-08-30

    Inventor: Steven Sensarn

    CPC classification number: G06F3/0346 G06F3/017

    Abstract: A device that is capable of performing tap detection and other gesture detection using data from an accelerometer. Motion data from the accelerometer is filtered and processed to detect motion. If motion is detected filtered motion data may be processed using a first neural network to detect a tap gesture, which may include one or multiple taps. Motion data may also be processed using a second neutral network to detect other gestures, which may be turned on or off based on a location of the device. Actions may be performed in response to a detected gesture, where the action may be performed by the device or by another device or system.

    Inter-channel level difference based acoustic tap detection

    公开(公告)号:US11302342B1

    公开(公告)日:2022-04-12

    申请号:US17092948

    申请日:2020-11-09

    Abstract: A system configured to detect a tap event on a surface of a device using microphone audio data and motion data. Instead of using a physical sensor to detect the tap event, the device detects a tap event based on a power level difference between two or more microphones. When a power ratio exceeds a threshold, the device may detect a tap event and perform an action, such as delaying or ending an alarm. To reduce false positives caused by wind or loud noises close to the microphones, the device may confirm a tap event using motion data that indicates actual movement of the device. In some examples, the device may detect the tap event using a neural network processing the microphone data and the motion data. In addition, the device may embed the motion data within the microphone data using unused bits of the microphone data.

    Tap and gesture detection using accelerometer data

    公开(公告)号:US11435836B1

    公开(公告)日:2022-09-06

    申请号:US17340626

    申请日:2021-06-07

    Inventor: Steven Sensarn

    Abstract: A device that is capable of performing tap detection and other gesture detection using data from an accelerometer. Motion data from the accelerometer is filtered and processed to detect motion. If motion is detected filtered motion data may be processed using a first neural network to detect a tap gesture, which may include one or multiple taps. Motion data may also be processed using a second neutral network to detect other gestures, which may be turned on or off based on a location of the device. Actions may be performed in response to a detected gesture, where the action may be performed by the device or by another device or system.

    TAP AND GESTURE DETECTION USING ACCELEROMETER DATA

    公开(公告)号:US20220413630A1

    公开(公告)日:2022-12-29

    申请号:US17898869

    申请日:2022-08-30

    Inventor: Steven Sensarn

    Abstract: A device that is capable of performing tap detection and other gesture detection using data from an accelerometer. Motion data from the accelerometer is filtered and processed to detect motion. If motion is detected filtered motion data may be processed using a first neural network to detect a tap gesture, which may include one or multiple taps. Motion data may also be processed using a second neutral network to detect other gestures, which may be turned on or off based on a location of the device. Actions may be performed in response to a detected gesture, where the action may be performed by the device or by another device or system.

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