Biologically-Inspired Computational Neural Mechanism for Human Action/activity Recognition: A Review

Theoretical neuroscience investigation shows valuable information on the mechanism for recognizing the biological movements in the mammalian visual system. This involves many different fields of researches such as psychological, neurophysiology, neuro-psychological, computer vision, and artificial i...

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Published inElectronics (Basel) Vol. 8; no. 10; p. 1169
Main Authors Yousefi, Bardia, Loo, Chu Kiong
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.10.2019
Subjects
Activity recognition
Artificial intelligence
Computer vision
Human mechanics
Neurophysiology
Neuropsychology
Neurosciences
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Summary:Theoretical neuroscience investigation shows valuable information on the mechanism for recognizing the biological movements in the mammalian visual system. This involves many different fields of researches such as psychological, neurophysiology, neuro-psychological, computer vision, and artificial intelligence (AI). The research on these areas provided massive information and plausible computational models. Here, a review on this subject is presented. This paper describes different perspective to look at this task including action perception, computational and knowledge based modeling, psychological, and neuroscience approaches.
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ISSN:2079-9292
2079-9292
DOI:10.3390/electronics8101169