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http://dx.doi.org/10.9717/kmms.2014.17.2.124

Non-Contact Gesture Recognition Algorithm for Smart TV Using Electric Field Disturbance  

Jo, Jung-Jae (엘지이노텍 부품소재연구소)
Kim, Young-Chul (전남대학교 전자컴퓨터공학과)
Publication Information
Journal of Korea Multimedia Society / v.17, no.2, 2014 , pp. 124-131 More about this Journal
Abstract
In this paper, we propose the non-contact gesture recognition algorithm using 4- channel electrometer sensor array. ELF(Extremely Low Frequency) EMI and PLN are minimized because ambient electromagnetic noise around sensors has a significant impact on entire data in indoor environments. In this study, we transform AC-type data into DC-type data by applying a 10Hz LPF as well as a maximum buffer value extracting algorithm considering H/W sampling rate. In addition, we minimize the noise with the Kalman filter and extract 2-dimensional movement information by taking difference value between two cross-diagonal deployed sensors. We implemented the DTW gesture recognition algorithm using extracted data and the time delayed information of peak values. Our experiment results show that average correct classification rate is over 95% on five-gesture scenario.
Keywords
ELF EM; PLN; Kalman filter; DTW; Time-interval information;
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Times Cited By KSCI : 1  (Citation Analysis)
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