A non-contact gesture recognition algorithm for smart device application using electronic disturbance is proposed in this paper. Our method secures an enough recognition distance for real smart TV application. Input patterns of the non-contact electrometer EPIC (Electric Potential Integrated Circuit) sensors are projected into two dimensional movements in a preconditioning process. Change of surrounding electronic field caused by moving hands has been observed mainly around band of 10Hz. Butterworth IIR filter, and Kalman filter are used to minimize the signal noises. Our proposed recognition process using PCA, K-Mean, and adaptive DTW algorithms can successfully identify five different gestures with more than 90% correct classification rate.
목차
Abstract 1. Introduction 2. The Proposed Data Preprocessing for Gesture Recognition 3. Gesture Recognition Algorithm based on DTW 4. The Experimental Results 5. Conclusions Acknowledgements References
키워드
Gesture recognitionEPIC sensorNUIEMIDTW
저자
Young-Chul Kim [ Dept. Electronics and Computer Engineering, Chonnam National University ]
Chang-Hyub Moon [ Dept. Electronics and Computer Engineering, Chonnam National University ]
보안공학연구지원센터(IJMUE) [Science & Engineering Research Support Center, Republic of Korea(IJMUE)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Multimedia and Ubiquitous Engineering
간기
월간
pISSN
1975-0080
수록기간
2008~2016
등재여부
SCOPUS
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Multimedia and Ubiquitous Engineering Vol.9 No.2