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Sensors 2017, 17(4), 833; doi:10.3390/s17040833

Hand-Based Gesture Recognition for Vehicular Applications Using IR-UWB Radar

Department of Electronics and Computer Engineering, Hanyang University, 222 Wangsimini-ro, Seongdong-gu, Seoul 133-791, Korea
Co-first authors, these authors contributed equally to this work.
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Author to whom correspondence should be addressed.
Academic Editors: Jesús Ureña, Álvaro Hernández Alonso and Juan Jesús García Domínguez
Received: 26 February 2017 / Revised: 28 March 2017 / Accepted: 6 April 2017 / Published: 11 April 2017
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Abstract

Modern cars continue to offer more and more functionalities due to which they need a growing number of commands. As the driver tries to monitor the road and the graphic user interface simultaneously, his/her overall efficiency is reduced. In order to reduce the visual attention necessary for monitoring, a gesture-based user interface is very important. In this paper, gesture recognition for a vehicle through impulse radio ultra-wideband (IR-UWB) radar is discussed. The gestures can be used to control different electronic devices inside a vehicle. The gestures are based on human hand and finger motion. We have implemented a real-time version using only one radar sensor. Studies on gesture recognition using IR-UWB radar have rarely been carried out, and some studies are merely simple methods using the magnitude of the reflected signal or those whose performance deteriorates largely due to changes in distance or direction. In this study, we propose a new hand-based gesture recognition algorithm that works robustly against changes in distance or direction while responding only to defined gestures by ignoring meaningless motions. We used three independent features, i.e., variance of the probability density function (pdf) of the magnitude histogram, time of arrival (TOA) variation and the frequency of the reflected signal, to classify the gestures. A data fitting method is included to differentiate between gesture signals and unintended hand or body motions. We have used the clustering technique for the classification of the gestures. Moreover, the distance information is used as an additional input parameter to the clustering algorithm, such that the recognition technique will not be vulnerable to distance change. The hand-based gesture recognition proposed in this paper would be a key technology of future automobile user interfaces. View Full-Text
Keywords: gesture recognition; IR-UWB radar; unsupervised learning; motion recognition; radar sensor; distance compensation; user interface gesture recognition; IR-UWB radar; unsupervised learning; motion recognition; radar sensor; distance compensation; user interface
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Khan, F.; Leem, S.K.; Cho, S.H. Hand-Based Gesture Recognition for Vehicular Applications Using IR-UWB Radar. Sensors 2017, 17, 833.

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