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Research trends on Biometric information change and emotion classification in relation to various external stimulus  

Kim, Ki-Hwan (Dept. of Computer Engineering, Dongseo University Graduate School)
Lee, Hoon-Jae (Div. of Computer Engineering, College of Software Convergence, Dongseo University)
Lee, Young Sil (Div. of Computer Engineering, College of Software Convergence, Dongseo University)
Kim, Tae Yong (Div. of Computer Engineering, College of Software Convergence, Dongseo University)
Publication Information
Journal of the Institute of Convergence Signal Processing / v.20, no.1, 2019 , pp. 24-30 More about this Journal
Abstract
Modern people argue that mental health care is necessary because of various factors such as unstable income and conflict with others. Recently, equipments capable of measuring electrocardiogram (ECG) in wearable equipment have been widely used. In the case of overseas, it can be seen as a medical assistant [14]. By using such functions, studies are being conducted to distinguish representative emotions (joy, sadness, anger, etc.) with objective values. However, most studies are increasing accuracy by collecting complex bio-signals in a limited environment. Therefore, we examine the factors that have the greatest influence on the change and discrimination of biometric information on each stimulus.
Keywords
Wearable devices; ECG; EEG; Emotion;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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