Analysis of Brain Waves for Detecting Behaviors

Sumin Jin, Yungcheo l Byun, Sangyong Byun
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引用次数: 2

Abstract

Applications and services using brain waves have high possibilities in the near future. Especially, deep learning for pattern recognition is highly applicable in the area. In this research, we propose a method to recognize human behaviors using human bio-signal, that is, brain waves. EEG brain wave data is collected using a headset device and is used for training and testing CNN and LSTM which are considered as successful deep neural networks nowadays. From the experiment, we could get positive recognition rates and applicability for various kinds of applications using our proposed methods.
用于行为检测的脑电波分析
在不久的将来,使用脑电波的应用和服务具有很高的可能性。特别是,深度学习模式识别在该领域具有很高的应用价值。在这项研究中,我们提出了一种利用人类生物信号,即脑电波来识别人类行为的方法。利用头戴式设备采集EEG脑电波数据,用于训练和测试CNN和LSTM这两种目前被认为是成功的深度神经网络。实验结果表明,本文提出的方法具有较高的识别率和适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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