24 GHz FMCW Radar System for Real-Time Hand Gesture Recognition Using LSTM

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A 24 GHz frequency modulated continuous wave radar system to recognize human's hand gestures is implemented, which uses commercial off-the-shelf RF front-end IC with one transmitter and four receivers. Planar patch array antennas, signal conditioning circuits and interconnections to a PC are designed for the system. Range-Doppler maps for four receiver channels are obtained with saw-tooth chirping signals transmitted to detect hand gestures. The radar system shows real-time highly accurate gesture recognition. Long-short term memory recurrent neural network as a supervised machine learning technique is used. Seven kinds of hand gestures are recognized within 0.4 m and ±30° from the center of the transmitted antenna with above 91 % accuracy.
Publisher
Institute of Electrical and Electronics Engineers Inc.
Issue Date
2018-11-08
Language
English
Citation

30th Asia-Pacific Microwave Conference, APMC 2018, pp.860 - 862

DOI
10.23919/APMC.2018.8617375
URI
http://hdl.handle.net/10203/277883
Appears in Collection
EE-Conference Papers(학술회의논문)
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