Invention Grant
- Patent Title: Robust radar-based gesture-recognition by user equipment
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Application No.: US16886626Application Date: 2020-05-28
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Publication No.: US11385722B2Publication Date: 2022-07-12
- Inventor: Jung Ook Hong , Patrick M. Amihood , John David Jacobs , Abel Seleshi Mengistu , Leonardo Giusti , Vignesh Sachidanandam , Devon James O'Reilley Stern , Ivan Poupyrev , Brandon Barbello , Tyler Reed Kugler , Johan Prag , Artur Tsurkan , Alok Chandel , Lucas Dupin Moreira Costa , Selim Flavio Cinek
- Applicant: Google LLC
- Applicant Address: US CA Mountain View
- Assignee: Google LLC
- Current Assignee: Google LLC
- Current Assignee Address: US CA Mountain View
- Agency: Colby Nipper PLLC
- Main IPC: G06F3/01
- IPC: G06F3/01 ; G06V40/20

Abstract:
Systems and techniques are described for robust radar-based gesture-recognition. A radar system (104) detects radar-based gestures on behalf of application subscribers. A state machine (2000) transitions between multiple states based on inertial sensor data. A no-gating state (2002) enables the radar system (104) to output radar-based gestures to application subscribers. The state machine (2000) also includes a soft-gating state (2004) that prevents the radar system (104) from outputting the radar-based gestures to the application subscribers. A hard-gating state (2006) prevents the radar system (104) from detecting radar-based gestures altogether. The techniques and systems enable the radar system (104) to determine when not to perform gesture-recognition, enabling user equipment (102) to automatically reconfigure the radar system (104) to meet user demand. By so doing, the techniques conserve power, improve accuracy, or reduce latency relative to many common techniques and systems for radar-based gesture-recognition.
Public/Granted literature
- US20210026454A1 Robust Radar-Based Gesture-Recognition by User Equipment Public/Granted day:2021-01-28
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