Hidden markov model-based gesture recognition with fmcw radar
AssigneeTexas Instruments Incorporated
InventorsGregory Jan Malysa, Murtaza Ali, Dan Wang, Lorin Paul Netsch
Life of this patent
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Abstract
A gesture recognition system is shown using a 77 GHz FMCW radar system. The signature of a gesturing hand is measured to construct an energy distribution in velocity space over time. A gesturing hand is fundamentally a dynamical system with unobservable “state” (i.e. the type of the gesture) which determines the sequence of associated observable velocity-energy distributions, therefore a Hidden Markov Model is used to for gesture recognition. A method for reducing the length of the feature vectors by a factor of 12 is also shown, by re-parameterizing the feature vectors in terms of a sum of Gaussians without decreasing the recognition performance.
Claims4
A method of gesture recognition comprising the steps of:
- collecting Frequency Modulated Continuous Wave (FMCW) radar reflectance data reflected from a gesturing object,
- processing said data by a one dimensional FFT to determine range to the reflecting object,
- gating said range data to select a predetermined range of interest,
- processing said FMCW data with a one dimensional FFT to determine velocity of the reflecting object,
- gating said velocity data to select a predetermined velocity range of interest,
- calculating the velocity energy of said velocity data,
- identifying the gesture from the velocity energy signature.
An apparatus for confidence estimation for optical flow comprising of:
- A processor operable to
- collect Frequency Modulated Continuous Wave (FMCW) radar reflectance data reflected from a gesturing object,
- process said data to determine range to the reflecting object,
- gate said range data to select a predetermined range of interest,
- process said FMCW data to determine velocity of the reflecting object,
- gate said velocity data to select a predetermined velocity range of interest,
- calculate the velocity energy of said velocity data,
- identify the gesture from the velocity energy signature.
Dependencies are inferred from the claim text.