Chinese Journal of Intelligent Science and Technology ›› 2021, Vol. 3 ›› Issue (1): 36-48.doi: 10.11959/j.issn.2096-6652.202104

• Special topic:emotional brain computer interface • Previous Articles     Next Articles

A survey of affective brain-computer interface

Bao-Liang LU1,2,3,4,5, Yaqian ZHANG1,2,3,5, Wei-Long ZHENG6   

  1. 1 Center for Brain-like Computing and Machine Intelligence, Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
    2 Key Laboratory of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
    3 Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai 200240, China
    4 Qing Yuan Research Institute, Shanghai Jiao Tong University, Shanghai 200240, China
    5 Center for Brain-machine Interface and Neuromodulation, RuiJin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
    6 Department of Brain and Cognitive Science, Massachusetts Institute of Technology, Cambridge 02139, USA
  • Revised:2021-03-04 Online:2021-03-15 Published:2021-03-01
  • Supported by:
    The National Natural Science Foundation of China(61976135)


An important research goal in emotion artificial intelligence is to make machines understand and recognize human emotions in real-time and facilitate human-computer interaction in a more natural and friendly way.Affective brain-computer interface (aBCI) is a type of BCI that can recognize and/or modulate human emotion.Thus, aBCI plays a critical role in promoting emotion artificial intelligence.The basic concepts and recent research development of aBCI were summarized, and the applications of aBCI in a wide range of domains were outlined.The roles that the aBCI can play in the development of artificial general intelligence and the challenges faced by the aBCI research community were discussed.

Key words: affective computing, affective brain-computer interface, emotion recognition, emotion regulation, multimodal affective brain-computer interface, artificial general intelligence

CLC Number: 

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