Invention Grant
- Patent Title: Hidden markov model-based gesture recognition with FMCW radar
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Application No.: US16719616Application Date: 2019-12-18
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Publication No.: US11054913B2Publication Date: 2021-07-06
- Inventor: Gregory Jan Malysa , Murtaza Ali , Dan Wang , Lorin Paul Netsch
- Applicant: TEXAS INSTRUMENTS INCORPORATED
- Applicant Address: US TX Dallas
- Assignee: TEXAS INSTRUMENTS INCORPORATED
- Current Assignee: TEXAS INSTRUMENTS INCORPORATED
- Current Assignee Address: US TX Dallas
- Agent Kenneth Liu; Charles A. Brill; Frank D. Cimino
- Main IPC: G06F3/0487
- IPC: G06F3/0487 ; G06F3/01 ; G01S13/34 ; G01S13/58 ; G01S7/41 ; G06F3/03 ; G06K9/62 ; G06K9/00 ; G01S7/35 ; G06N7/00

Abstract:
A system includes a frequency modulated continuous wave (FMCW) transceiver, a processor, and a memory. The memory stores program instructions that, when executed by the processor, cause the system to receive a signal representative of an FMCW signal reflected from an object of interest, apply a first Fourier transform to the signal to obtain range data, identify a subset of the range data corresponding to a region of interest, apply a second Fourier transform on the identified subset of the range data to obtain velocity data corresponding to the identified subset of the range data, and identify a gesture performed by the object of interest based on at least a portion of velocity data.
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