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@article{ART001424279},
author={정찬순 and 한준석 and Il Ju， Ko and Daesik Jang},
title={Applying of SOM for Automatic Recognition of Tension and Relaxation},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2010},
volume={15},
number={2},
pages={65-74}

TY - JOUR
AU - 정찬순
AU - 한준석
AU - Il Ju， Ko
AU - Daesik Jang
TI - Applying of SOM for Automatic Recognition of Tension and Relaxation
JO - Journal of The Korea Society of Computer and Information
PY - 2010
VL - 15
IS - 2
PB - The Korean Society Of Computer And Information
SP - 65
EP - 74
SN - 1598-849X
AB - We propose a system that automatically recognizes the tense or relaxed condition of scrolling-shooting game subject that plays. Existing study compares the changed values of source of stimulation to the player by suggesting the source, and thus involves limitation in automatic classification. This study applies SOM of unsupervised learning for automatic classification and recognition of player's condition change. Application of SOM for automatic recognition of tense and relaxed condition is composed of two steps. First, ECG measurement and analysis, is to extract characteristic vector through HRV analysis by measuring ECG after having the player play the game. Secondly, SOM learning and recognition, is to classify and recognize the tense and relaxed conditions of player through SOM learning of the input vectors of heart beat signals that the characteristic extracted. Experiment results are divided into three groups. The first is HRV frequency change and the second the SOM learning results of heart beat signal. The third is the analysis of match rate to identify SOM learning performance. As a result of matching the LF/HF ratio of HRV frequency analysis to the distance of winner neuron of SOM based on 1.5, a match rate of 72% performance in average was shown.
KW - ECG;SOM;Game;Automatic recognition
DO -
UR -
ER -

정찬순, 한준석, Il Ju， Ko and Daesik Jang. (2010). Applying of SOM for Automatic Recognition of Tension and Relaxation. Journal of The Korea Society of Computer and Information, 15(2), 65-74.

정찬순, 한준석, Il Ju， Ko and Daesik Jang. 2010, "Applying of SOM for Automatic Recognition of Tension and Relaxation", Journal of The Korea Society of Computer and Information, vol.15, no.2 pp.65-74.

정찬순, 한준석, Il Ju， Ko, Daesik Jang "Applying of SOM for Automatic Recognition of Tension and Relaxation" Journal of The Korea Society of Computer and Information 15.2 pp.65-74 (2010) : 65.

정찬순, 한준석, Il Ju， Ko, Daesik Jang. Applying of SOM for Automatic Recognition of Tension and Relaxation. 2010; 15(2), 65-74.

정찬순, 한준석, Il Ju， Ko and Daesik Jang. "Applying of SOM for Automatic Recognition of Tension and Relaxation" Journal of The Korea Society of Computer and Information 15, no.2 (2010) : 65-74.

정찬순; 한준석; Il Ju， Ko; Daesik Jang. Applying of SOM for Automatic Recognition of Tension and Relaxation. Journal of The Korea Society of Computer and Information, 15(2), 65-74.

정찬순; 한준석; Il Ju， Ko; Daesik Jang. Applying of SOM for Automatic Recognition of Tension and Relaxation. Journal of The Korea Society of Computer and Information. 2010; 15(2) 65-74.

정찬순, 한준석, Il Ju， Ko, Daesik Jang. Applying of SOM for Automatic Recognition of Tension and Relaxation. 2010; 15(2), 65-74.

정찬순, 한준석, Il Ju， Ko and Daesik Jang. "Applying of SOM for Automatic Recognition of Tension and Relaxation" Journal of The Korea Society of Computer and Information 15, no.2 (2010) : 65-74.