- Patent Title: Hand gesture recognition based on detected wrist muscular movements
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Application No.: US18174358Application Date: 2023-02-24
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Publication No.: US12073028B2Publication Date: 2024-08-27
- Inventor: Dongeek Shin , Shahram Izadi , David Kim , Sofien Bouaziz , Steven Benjamin Goldberg , Ivan Poupyrev , Shwetak N. Patel
- Applicant: GOOGLE LLC
- Applicant Address: US CA Mountain View
- Assignee: GOOGLE LLC
- Current Assignee: GOOGLE LLC
- Current Assignee Address: US CA Mountain View
- Agency: Brake Hughes Bellermann LLP
- Main IPC: G06F3/01
- IPC: G06F3/01 ; G06F1/16 ; G06V40/20

Abstract:
Techniques of identifying gestures include detecting and classifying inner-wrist muscle motions at a user's wrist using micron-resolution radar sensors. For example, a user of an AR system may wear a band around their wrist. When the user makes a gesture to manipulate a virtual object in the AR system as seen in a head-mounted display (HMD), muscles and ligaments in the user's wrist make small movements on the order of 1-3 mm. The band contains a small radar device that has a transmitter and a number of receivers (e.g., three) of electromagnetic (EM) radiation on a chip (e.g., a Soli chip. This radiation reflects off the wrist muscles and ligaments and is received by the receivers on the chip in the band. The received reflected signal, or signal samples, are then sent to processing circuitry for classification to identify the wrist movement as a gesture.
Public/Granted literature
- US20230393665A1 HAND GESTURE RECOGNITION BASED ON DETECTED WRIST MUSCULAR MOVEMENTS Public/Granted day:2023-12-07
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