A Novel Detection and Recognition Method for Continuous Hand Gesture Using FMCW Radar
In this article, a novel method for continuous hand gesture detection and recognition is proposed based on a frequency modulated continuous wave (FMCW) radar. Firstly, we adopt the 2-Dimensional Fast Fourier Transform (2D-FFT) to estimate the range and Doppler parameters of the hand gesture raw data...
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doaj-f4b09ed02c5f4d84b5bd7f30824b8ae82021-03-30T03:27:28ZengIEEEIEEE Access2169-35362020-01-01816726416727510.1109/ACCESS.2020.30231879194242A Novel Detection and Recognition Method for Continuous Hand Gesture Using FMCW RadarYong Wang0https://orcid.org/0000-0001-5061-8173Aihu Ren1https://orcid.org/0000-0003-3885-205XMu Zhou2https://orcid.org/0000-0003-3533-2227Wen Wang3Xiaobo Yang4School of Communications and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, ChinaSchool of Communications and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, ChinaSchool of Communications and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, ChinaSchool of Communications and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, ChinaSchool of Communications and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, ChinaIn this article, a novel method for continuous hand gesture detection and recognition is proposed based on a frequency modulated continuous wave (FMCW) radar. Firstly, we adopt the 2-Dimensional Fast Fourier Transform (2D-FFT) to estimate the range and Doppler parameters of the hand gesture raw data, and construct the range-time map (RTM) and Doppler-time map (DTM). Meanwhile, we apply the Multiple Signal Classification (MUSIC) algorithm to calculate the angle and construct the angle-time map (ATM). Secondly, a hand gesture detection method is proposed to segment the continuous hand gestures using a decision threshold. Thirdly, the central time-frequency trajectory of each hand gesture spectrogram is clustered using the k-means algorithm, and then the Fusion Dynamic Time Warping (FDTW) algorithm is presented to recognize the hand gestures. Finally, experiments show that the accuracy of the proposed hand gesture detection method can reach 96.17%. The hand gesture average recognition accuracy of the proposed FDTW algorithm is 95.83%, while its time complexity is reduced by more than 50%.https://ieeexplore.ieee.org/document/9194242/FMCW radarcontinuous hand gesture recognition detectiontime-frequency trajectoryFDTW |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yong Wang Aihu Ren Mu Zhou Wen Wang Xiaobo Yang |
spellingShingle |
Yong Wang Aihu Ren Mu Zhou Wen Wang Xiaobo Yang A Novel Detection and Recognition Method for Continuous Hand Gesture Using FMCW Radar IEEE Access FMCW radar continuous hand gesture recognition detection time-frequency trajectory FDTW |
author_facet |
Yong Wang Aihu Ren Mu Zhou Wen Wang Xiaobo Yang |
author_sort |
Yong Wang |
title |
A Novel Detection and Recognition Method for Continuous Hand Gesture Using FMCW Radar |
title_short |
A Novel Detection and Recognition Method for Continuous Hand Gesture Using FMCW Radar |
title_full |
A Novel Detection and Recognition Method for Continuous Hand Gesture Using FMCW Radar |
title_fullStr |
A Novel Detection and Recognition Method for Continuous Hand Gesture Using FMCW Radar |
title_full_unstemmed |
A Novel Detection and Recognition Method for Continuous Hand Gesture Using FMCW Radar |
title_sort |
novel detection and recognition method for continuous hand gesture using fmcw radar |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2020-01-01 |
description |
In this article, a novel method for continuous hand gesture detection and recognition is proposed based on a frequency modulated continuous wave (FMCW) radar. Firstly, we adopt the 2-Dimensional Fast Fourier Transform (2D-FFT) to estimate the range and Doppler parameters of the hand gesture raw data, and construct the range-time map (RTM) and Doppler-time map (DTM). Meanwhile, we apply the Multiple Signal Classification (MUSIC) algorithm to calculate the angle and construct the angle-time map (ATM). Secondly, a hand gesture detection method is proposed to segment the continuous hand gestures using a decision threshold. Thirdly, the central time-frequency trajectory of each hand gesture spectrogram is clustered using the k-means algorithm, and then the Fusion Dynamic Time Warping (FDTW) algorithm is presented to recognize the hand gestures. Finally, experiments show that the accuracy of the proposed hand gesture detection method can reach 96.17%. The hand gesture average recognition accuracy of the proposed FDTW algorithm is 95.83%, while its time complexity is reduced by more than 50%. |
topic |
FMCW radar continuous hand gesture recognition detection time-frequency trajectory FDTW |
url |
https://ieeexplore.ieee.org/document/9194242/ |
work_keys_str_mv |
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