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Detecting Attention and Meditation EEG Utilized Deep Learning

  • Chung-Yen Liao
  • Rung-Ching Chen
  • Qiao-En Liu
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 110)

Abstract

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 is8 accumulated. That is also the reason why people persistently emit brainwaves. According to experts from Laboratory of Brain Recognition and Behavior, Michigan University, long-term 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.

Keywords

Brainwaves Attention and meditation detection EEG Deep learning 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of Information ManagementChaoyang University of TechnologyTaichungTaiwan

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