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http://dx.doi.org/10.7583/JKGS.2013.13.5.73

A Study on a Stress Measurement Algorithm Based on ECG Analysis of NUI-applied Tangible Game Users  

Lee, Hyun-Ju (Dept. of Computer Engineering, Sejong University)
Shin, Dong-Il (Dept. of Computer Engineering, Sejong University)
Shin, Dong-Kyoo (Dept. of Computer Engineering, Sejong University)
Publication Information
Journal of Korea Game Society / v.13, no.5, 2013 , pp. 73-80 More about this Journal
Abstract
NUI(Natural User Interface) allows users to directly interact with surrounding digital devices using their voices or body motions without additional input/output interface devices. Our study has been carried out on human users who play a tangible game with body motions in the NUI-applied smart space. ECG was measured for 60 seconds duration before and after playing the game to determine user stress levels, and the measured signals were analyzed through an improved Random Forest algorithm. In order to experiment by a supervised learning, users additionally input whether or not the user felt stress. Moreover, the improved algorithm showed 1.04% higher accuracy than existing algorithm.
Keywords
Tangible Game; NUI(Natural User Interface); ECG; Stress; Random Forest; Algorithm; Accuracy;
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