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@article{ART001943639},
author={최민석 and BEAKCHEOL JANG},
title={An Analysis of Human Gesture Recognition Technologies for Electronic Device Control},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2014},
volume={19},
number={12},
pages={91-100}

TY - JOUR
AU - 최민석
AU - BEAKCHEOL JANG
TI - An Analysis of Human Gesture Recognition Technologies for Electronic Device Control
JO - Journal of The Korea Society of Computer and Information
PY - 2014
VL - 19
IS - 12
PB - The Korean Society Of Computer And Information
SP - 91
EP - 100
SN - 1598-849X
AB - In this paper, we categorize existing human gesture recognition technologies to camera-based,additional hardware-based and frequency-based technologies. Then we describe several representativetechniques for each of them, emphasizing their strengths and weaknesses. We define importantperformance issues for human gesture recognition technologies and analyze recent technologies accordingto the performance issues. Our analyses show that camera-based technologies are easy to use and have high accuracy, but they have limitations on recognition ranges and need additional costs for their devices. Additional hardware-based technologies are not limited by recognition ranges and not affected by light ornoise, but they have the disadvantage that human must wear or carry additional devices and needadditional costs for their devices. Finally, frequency-based technologies are not limited by recognitionranges, and they do not need additional devices. However, they have not commercialized yet, and theiraccuracies can be deteriorated by other frequencies and signals.
KW - Human Gesture Recognition;Human Computer Interaction;Camera;Frequency
DO -
UR -
ER -

최민석 and BEAKCHEOL JANG. (2014). An Analysis of Human Gesture Recognition Technologies for Electronic Device Control. Journal of The Korea Society of Computer and Information, 19(12), 91-100.

최민석 and BEAKCHEOL JANG. 2014, "An Analysis of Human Gesture Recognition Technologies for Electronic Device Control", Journal of The Korea Society of Computer and Information, vol.19, no.12 pp.91-100.

최민석, BEAKCHEOL JANG "An Analysis of Human Gesture Recognition Technologies for Electronic Device Control" Journal of The Korea Society of Computer and Information 19.12 pp.91-100 (2014) : 91.

최민석, BEAKCHEOL JANG. An Analysis of Human Gesture Recognition Technologies for Electronic Device Control. 2014; 19(12), 91-100.

최민석 and BEAKCHEOL JANG. "An Analysis of Human Gesture Recognition Technologies for Electronic Device Control" Journal of The Korea Society of Computer and Information 19, no.12 (2014) : 91-100.

최민석; BEAKCHEOL JANG. An Analysis of Human Gesture Recognition Technologies for Electronic Device Control. Journal of The Korea Society of Computer and Information, 19(12), 91-100.

최민석; BEAKCHEOL JANG. An Analysis of Human Gesture Recognition Technologies for Electronic Device Control. Journal of The Korea Society of Computer and Information. 2014; 19(12) 91-100.

최민석, BEAKCHEOL JANG. An Analysis of Human Gesture Recognition Technologies for Electronic Device Control. 2014; 19(12), 91-100.

최민석 and BEAKCHEOL JANG. "An Analysis of Human Gesture Recognition Technologies for Electronic Device Control" Journal of The Korea Society of Computer and Information 19, no.12 (2014) : 91-100.