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A Study on Ubiquitous Psychological State Recognition Model Using Bio-Signals  

Chon, Ki-Hwan (한림성심대학 의료기기정보과)
Choi, Hyung-Jin (강원대학교 컴퓨터과학과 인공지능연구실)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.35, no.2B, 2010 , pp. 232-243 More about this Journal
Abstract
In this paper, various physiological signals of humans were measured and analyzed to inference their psychological state and biological information, and Bio-Signal Context aware system (BSC), which recognizes the current context of its users as well as the information of exterior environment and offers the service appropriate for them, was designed and implemented. The BSC extracts and analyzes the features from bio-signals, such as the measured electroencephalogram (EEG), electrocardiogram (ECG), and galvanic skin response (GSR), with its different sensors, has the input of the analyzed results, and discriminates four psychological states of rest, concentration, tension and melancholy. In addition to the results of the discriminated psychological states, the information of biological condition analyzed from the user's bio-signals, for example, heart rate variability (HRV), Galvanic skin response (GSR) and body temperature, and the information of external environment related to the user's are collected to offer the service fit for the user's present biological condition by inferring and recognizing the user's present situation.
Keywords
Bio-signals; Context-aware system; EEG; HRV; GSR;
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