Non-Line-of-Sight Radar-Based Gesture Recognition
    11.
    发明申请
    Non-Line-of-Sight Radar-Based Gesture Recognition 有权
    非线视雷达手势识别

    公开(公告)号:US20160098089A1

    公开(公告)日:2016-04-07

    申请号:US14582896

    申请日:2014-12-24

    Applicant: Google Inc.

    Inventor: Ivan Poupyrev

    Abstract: This document describes techniques and devices for non-line-of-sight radar-based gesture recognition. Through use of the techniques and devices described herein, users may control their devices through in-the-air gestures, even when those gestures are not within line-of-sight of their device's sensors. Thus, the techniques enable users to control their devices in many situations in which control is desired but conventional techniques do permit effective control, such as to turn the temperature down in a room when the user is obscured from a thermostat's gesture sensor, turn up the volume on a media player when the user is in a different room than the media player, or pause a television program when the user's gesture is obscured by a chair, couch, or other obstruction.

    Abstract translation: 本文档描述了用于非视距雷达手势识别的技术和设备。 通过使用本文描述的技术和设备,用户可以通过空中手势来控制其设备,即使当这些手势不在其设备的传感器的视线内时。 因此,这些技术使用户能够在需要控制的许多情况下控制其设备,但常规技术确实允许有效的控制,例如当用户从恒温器的手势传感器遮蔽时将温度降低到室内, 当用户处于与媒体播放器不同的房间时,在媒体播放器上的音量,或者当用户的手势被椅子,沙发或其他障碍物遮蔽时暂停电视节目。

    Radar-Based Biometric Recognition
    12.
    发明申请
    Radar-Based Biometric Recognition 审中-公开
    基于雷达的生物识别

    公开(公告)号:US20160054792A1

    公开(公告)日:2016-02-25

    申请号:US14518863

    申请日:2014-10-20

    Applicant: Google Inc.

    Inventor: Ivan Poupyrev

    CPC classification number: G06F3/011 G06F3/014 G06F3/015 H04W4/90

    Abstract: This document describes techniques and devices for radar-based biometric recognition. The techniques enable biometric recognition through a radar-based biometric-recognition system thereby permitting control of devices and applications with little or no active engagement from users.

    Abstract translation: 本文档描述了基于雷达的生物识别技术和设备。 这些技术使得通过基于雷达的生物识别系统能够进行生物识别,从而允许对用户很少或没有主动参与的设备和应用的控制。

    User-customizable machine-learning in radar-based gesture detection

    公开(公告)号:US11080556B1

    公开(公告)日:2021-08-03

    申请号:US15287359

    申请日:2016-10-06

    Applicant: Google Inc.

    Abstract: Various embodiments dynamically learn user-customizable input gestures. A user can transition a radar-based gesture detection system into a gesture-learning mode. In turn, the radar-based gesture detection system emits a radar field configured to detect a gesture new to the radar-based gesture detection system. The radar-based gesture detection system receives incoming radio frequency (RF) signals generated by the outgoing RF signal reflecting off the gesture, and analyzes the incoming RF signals to learn one or more identifying characteristics about the gesture. Upon learning the identifying characteristics, the radar-based gesture detection system reconfigures a corresponding input identification system to detect the gesture when the one or more identifying characteristics are next identified, and transitions out of the gesture-learning mode.

    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.

    Interactive fabric
    17.
    发明授权

    公开(公告)号:US10285456B2

    公开(公告)日:2019-05-14

    申请号:US15595649

    申请日:2017-05-15

    Applicant: Google Inc.

    Abstract: This document describes techniques using, and objects embodying, an interactive fabric which is configured to sense user interactions in the form of single or multi-touch-input (e.g., gestures). The interactive fabric may be integrated into a wearable interactive garment (e.g., a jacket, shirt, or pants) that is coupled (e.g., via a wired or wireless connection) to a gesture manager. The gesture manager may be implemented at the interactive garment, or remote from the interactive garment, such as at a computing device that is wirelessly paired with the interactive garment and/or at a remote cloud based service. Generally, the gesture manager recognizes user interactions to the interactive fabric, and in response, triggers various different types of functionality, such as answering a phone call, sending a text message, creating a journal entry, and so forth.

    Radar-based contextual sensing
    18.
    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.

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