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Gestures Recognition for Smart Device using Contact less Electronic Potential Sensor  

Oh, KangHan (전남대학교 전자컴퓨터공학과)
Kim, Soohyung (전남대학교 전자컴퓨터공학부)
Na, Inseop (전남대학교 전자컴퓨터공학부)
Kim, Young Chul (전남대학교 전자컴퓨터공학부)
Moon, Changhub (전남대학교 전자컴퓨터공학과)
Publication Information
Smart Media Journal / v.3, no.2, 2014 , pp. 14-19 More about this Journal
Abstract
This paper presents a novel approach to recognize human gestures using k-NN and DTW based on Con tactless Electronic Potential Sensor(CEPS) in the smart devices such as smart TV and smart-phone in the proposed method, we used a Kalman filter to remove noise on gesture signal from CEPS and a PCA algorithm is utilized for reducing the dimensionality of gesture signal without data losses. And then in order to categorize gesture signals, k-NN classifier with DTW distance measure is considered. In the experimental result, we evaluate recognition performance with CEPS gesutres signal form the above two types of smart devices, and we can successfully identify five different gestures with more than 90% of recognition accuracy.
Keywords
Gesture Recognition; CEPS; PCA; DTW; k-NN;
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