원문정보
보안공학연구지원센터(IJMUE)
International Journal of Multimedia and Ubiquitous Engineering
Vol.10 No.2
2015.02
pp.413-420
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
In this paper, HMM based non-contact gesture recognition using EPS(Electric Potential Sensor) is implemented, First, EMI(Electro-Magnetic Interference) in ELF (Extremely Low Frequency) band from surrounding environments is minimized through EMI removing process as well as preprocessing. Hand gesture recognition algorithms applied for smart TV remote control are presented and evaluated. Our proposed cumulative electric potential based “left to right model” is implemented and its performance is compared to that of an ergodic model based directional vectors. Also, we implement the HMM by finding the optimal numbers of states and quantization, and then compare its performance with other typical algorithms.
목차
Abstract
1. Introduction
2. Discussion
2.1. 4-channel EPS based Non-Contact Gesture Recognition
2.2. Proposed Cumulative Electric Potential Based HMM
2.3. Experiments and Results
3. Conclusion
References
1. Introduction
2. Discussion
2.1. 4-channel EPS based Non-Contact Gesture Recognition
2.2. Proposed Cumulative Electric Potential Based HMM
2.3. Experiments and Results
3. Conclusion
References
키워드
저자정보
참고문헌
자료제공 : 네이버학술정보