Gesture recognition using multiple antenna

    公开(公告)号:US10817065B1

    公开(公告)日:2020-10-27

    申请号:US15093533

    申请日:2016-04-07

    Applicant: Google Inc.

    Abstract: Various embodiments wirelessly detect micro gestures using multiple antenna of a gesture sensor device. At times, the gesture sensor device transmits multiple outgoing radio frequency (RF) signals, each outgoing RF signal transmitted via a respective antenna of the gesture sensor device. The outgoing RF signals are configured to help capture information that can be used to identify micro-gestures performed by a hand. The gesture sensor device captures incoming RF signals generated by the outgoing RF signals reflecting off of the hand, and then analyzes the incoming RF signals to identify the micro-gesture.

    Concurrent detection of absolute distance and relative movement for sensing action gestures

    公开(公告)号:US10579150B2

    公开(公告)日:2020-03-03

    申请号:US15424263

    申请日:2017-02-03

    Applicant: Google Inc.

    Abstract: A gesture detection system uses two radar tones to concurrently detect absolute distance and relative movement of a target object. A radar-based detection device alternates transmitting a first radar tone and a second radar tone via a radar-emitting device, and then captures a first return signal and a second return signal that are generated by the first radar tone and second radar tone reflecting off the target object. The radar-based detection device demodulates the return signals into a first set of quadrature signals and a second set of quadrature signals and, in some cases, generates a first set of digital samples and second set of digital samples from the respective quadrature signals. Various aspects process the first set of digital samples and second set of digital samples to concurrently identify absolute distance and relative movement and, at times, determine an in-the-air gesture performed by the target object.

    Radar-based contextual sensing
    14.
    发明授权

    公开(公告)号:US10222469B1

    公开(公告)日:2019-03-05

    申请号:US15287200

    申请日:2016-10-06

    Applicant: Google Inc.

    Abstract: This document describes apparatuses and techniques for radar-based contextual sensing. In some aspects, a radar sensor of a device is activated to obtain radar data for a space of interest. Three-dimensional (3D) radar features are extracted from the radar data and positional data is received from sensors. Based on the positional data, spatial relation of the 3D radar features is determined to generate a set of 3D landmarks for the space. This set of 3D landmarks is then compared with known 3D context models to identify a 3D context model that matches the 3D landmarks. Based on a matching 3D context model, a context for the space is retrieved and used to configure contextual settings of the device. By so doing, contextual settings of the device be dynamically configured to address changes in context or for different device environments.

    Concurrent Detection of Absolute Distance and Relative Movement for Sensing Action Gestures

    公开(公告)号:US20180157330A1

    公开(公告)日:2018-06-07

    申请号:US15424263

    申请日:2017-02-03

    Applicant: Google Inc.

    Abstract: A gesture detection system uses two radar tones to concurrently detect absolute distance and relative movement of a target object. A radar-based detection device alternates transmitting a first radar tone and a second radar tone via a radar-emitting device, and then captures a first return signal and a second return signal that are generated by the first radar tone and second radar tone reflecting off the target object. The radar-based detection device demodulates the return signals into a first set of quadrature signals and a second set of quadrature signals and, in some cases, generates a first set of digital samples and second set of digital samples from the respective quadrature signals. Various aspects process the first set of digital samples and second set of digital samples to concurrently identify absolute distance and relative movement and, at times, determine an in-the-air gesture performed by the target object.

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