Gesture recognition using frequency modulated continuous wave (FMCW) radar with low angle resolution

US9817109B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9817109-B2
Application numberUS-201514633684-A
CountryUS
Kind codeB2
Filing dateFeb 27, 2015
Priority dateFeb 27, 2015
Publication dateNov 14, 2017
Grant dateNov 14, 2017

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Abstract

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A method for operating a frequency modulated continuous wave (FMCW) radar system is provided that includes generating digital intermediate frequency (IF) signals from radio frequency signals received by a small receive antenna array in the FMCW radar system and processing the digital IF signals to determine whether or not a gesture was performed.

First claim

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What is claimed is: 1. A method for operating a frequency modulated continuous wave (FMCW) radar system, the method comprising: generating digital intermediate frequency (IF) signals from radio frequency signals received by a small receive antenna array in the FMCW radar system; computing a sequence of weighted velocities based on the digital IF signals; detecting at least one peak in the sequence of weighted velocities; and performing gesture classification based on parameters of the at least one peak to determine whether or not the at least one peak is indicative of a gesture. 2. The method of claim 1 , in which the small receive antenna array consists of one receive antenna. 3. The method of claim 1 , including filtering the sequence of weighted velocities prior to the detecting at least one peak. 4. The method of claim 1 , in which processing the digital IF signals includes computing a sequence of weighted angles based on the digital IF signals, and in which performing gesture classification includes performing gesture classification based on the parameters and on weighted angles corresponding to the at least one peak. 5. The method of claim 1 , in which the at least one peak includes two peaks and performing gesture classification includes recognizing the two peaks as a gesture and determining a direction of the gesture based on a sign of a weighted angle corresponding to a first peak of the two peaks and a sign of a weighted angle corresponding to a second peak of the two peaks. 6. The method of claim 1 , in which computing a sequence of weighted velocities includes: receiving a plurality of digital IF signals, one from each antenna of the antenna array; computing a two dimension (2D) FFT for each digital IF signal of the plurality of digital IF signals to generate a 2D grid for each IF signal; averaging amplitudes of corresponding bins of the 2D grids to generate an averaged 2D grid; and computing a weighted velocity based on an expected location of a gesture in the averaged 2D grid. 7. The method of claim 6 , in which computing a sequence of weighted velocities includes estimating the expected location. 8. The method of claim 1 , including: detecting a position cue while the FMCW radar system is operating in a normal mode having a first frame time and a first duty cycle; transitioning the FMCW radar system to a gesture recognition mode responsive to the position cue, the gesture recognition mode having a second frame time and a second duty cycle; and operating the FMCW radar system in the gesture recognition mode in which the generating digital IF signals and the processing the IF signals are performed. 9. The method of claim 8 , including: receiving an indication to terminate the gesture recognition mode; and transitioning the FMCW radar to the normal mode. 10. A frequency modulated continuous wave (FMCW) radar system comprising: a small receive antenna array; a receive channel for each receive antenna in the receive antenna array, each receive channel coupled to a respective receive antenna to generate a digital intermediate frequency (IF) signal from a radio frequency signal received by the receive antenna array; a digital front end coupled to receive the digital IF signals and produce digital baseband signals; and a processor coupled to each receive channel to process the digital baseband signals, compute a sequence of weighted velocities from the baseband signals, and detect at least one peak in the sequence of weighted velocities to determine whether or not a gesture was performed. 11. The FMCW radar system of claim 10 , in which the small receive antenna array consists of one receive antenna. 12. The FMCW radar system of claim 10 , wherein the receive channel is configured to filter an intermediate frequency and produce the digital IF signals. 13. The FMCW radar system of claim 10 , wherein the processor is configured to compute a sequence of weighted angles based on the baseband signals, and perform gesture classification based on parameters of the at least one peak and on weighted angles corresponding to the at least one peak. 14. The FMCW radar system of claim 13 , in which the at least one peak includes two peaks and performing gesture classification includes recognizing the two peaks as a gesture and determining a direction of the gesture based on a sign of a weighted angle corresponding to a first peak of the two peaks and a sign of a weighted angle corresponding to a second peak of the two peaks. 15. The FMCW radar system of claim 10 , in which computing a sequence of weighted velocities includes: computing a two dimension (2D) FFT for each receive channel to generate a 2D grid receive channel; averaging amplitudes of corresponding bins of the 2D grids to generate an averaged 2D grid; and computing a weighted velocity based on an expected location of a gesture in the averaged 2D grid. 16. The FMCW radar system of claim 15 , in which computing a sequence of weighted velocities includes estimating the expected location. 17. The FMCW radar system of claim 10 , in which the FMCW radar system is configured to operate in a normal mode and a gesture recognition mode, the normal mode having a first frame time and a first duty cycle and the gesture recognition mode having a second frame time and a second duty cycle, in which the processor causes the FMCW radar system to transition from normal mode to gesture recognition mode responsive to a position cue detected in digital IF signals received from the receive channels while the FMCW radar system is operating in normal mode. 18. The FMCW radar system of claim 17 , in which the processor causes the FMCW radar system to transition from gesture recognition mode to normal mode responsive to receiving an indication to terminate gesture recognition mode. 19. A method for operating a frequency modulated continuous wave (FMCW) radar system, the method comprising: generating digital baseband signals from radio frequency signals received by an antenna array of the FMCW radar system; computing a sequence of weighted velocities from the digital baseband signals; detecting at least one peak in the sequence of weighted velocities; and performing gesture classification based on parameters of the at least one peak to determine whether or not the at least one peak is indicative of a gesture. 20. The method of claim 19 , comprising computing a sequence of weighted angles from the digital baseband, wherein the gesture classification is based on the parameters and on a weighted angle of to the at least one peak.

Assignees

Inventors

Classifications

  • adapted for simultaneous range and velocity measurements · CPC title

  • G01S7/415Primary

    Identification of targets based on measurements of movement associated with the target · CPC title

  • Velocity or trajectory determination systems; Sense-of-movement determination systems · CPC title

  • Physics · mapped topic

  • Arrangements for interaction with the human body, e.g. for user immersion in virtual reality (blind teaching G09B21/00) · CPC title

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What does patent US9817109B2 cover?
A method for operating a frequency modulated continuous wave (FMCW) radar system is provided that includes generating digital intermediate frequency (IF) signals from radio frequency signals received by a small receive antenna array in the FMCW radar system and processing the digital IF signals to determine whether or not a gesture was performed.
Who is the assignee on this patent?
Texas Instruments Inc
What technology area does this patent fall under?
Primary CPC classification G01S7/415. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Nov 14 2017 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).