Facial Expression Decoding based on fMRI Brain Signal
作者: Benchun CaoYanchun LiangShinichi YoshidaRenchu Guan
刊名: International Journal of Computers Communications & Control, 2019, Vol.14 (4), pp.475-488
来源数据库: Agora University
DOI: 10.15837/ijccc.2019.4.3433
关键词: Brain-computer interfaceMachine learningExtreme learning machineFMRIImage processing
原始语种摘要: The analysis of facial expressions is a hot topic in brain-computer interface research. To determine the facial expressions of the subjects under the corresponding stimulation, we analyze the fMRI images acquired by the Magnetic Resonance. There are six kinds of facial expressions: "anger", "disgust", "sadness", "happiness", "joy" and "surprise". We demonstrate that brain decoding is achievable through the parsing of two facial expressions ("anger" and "joy"). Support vector machine and extreme learning machine are selected to classify these expressions based on time series features. Experimental results show that the classification performance of the extreme learning machine algorithm is better than support vector machine. Among the eight participants in the trials, the classification...
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  • facial 表面的
  • machine 机器
  • Decoding 解码
  • computer 电子计算机
  • parsing 句法分析
  • processing 加工
  • fMRI 功能性磁共振成象
  • learning 学识
  • demonstrate 说明
  • brain