Emotion Stress Detection using EEG Signal and Deep Learning Technologies

被引:0
|
作者
Liao, Chung-Yen [1 ]
Chen, Rung-Ching [1 ]
Tai, Shao-Kuo [1 ]
机构
[1] Chaoyang Univ Technol, Dept Informat Management, 168 Jifeng East Rd, Taichung, Taiwan
关键词
Brainwaves; Emotion Stress Detection; EEG; Deep Learning;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Brainwave reflects the change in electrical potential resulting from the conjunction between the thousands of brain neurons. A neuron can receive signals from other neurons and starts off cyclic discharge reaction when sufficient energy is accumulated. That is also the reason why people persistently emit brainwaves. According to experts from Laboratory of Brain Recognition and Behavior, Michigan University, longterm multitask operation results in the lack of efficiency and in filtering out irrelevant signals leads to the distraction of paying attention of the irrelevant message rather than work-related information. As a result, one would have problems in the transition from one job to another. However, for some people rely on their brain to deal with many things and it may lead to fatigue. Therefore, we did this experiment and tried to figure out the most efficient way to soothe the spiritual pressure and calm the mind down. We utilize deep learning as learning method to predict user's stress feeling through listening to the music. Through above research, by listening to music or create the atmosphere of a music background also with an artistic performance could provide not only psychological treatment effect but also improve the ability of the person to focus.
引用
收藏
页码:90 / 93
页数:4
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