A novel art gesture recognition model based on two channel region-based convolution neural network for explainable human-computer interaction understanding | Zendy

Pingping Li | Zendy; Zhao Lu | Zendy

Open Access

A novel art gesture recognition model based on two channel region-based convolution neural network for explainable human-computer interaction understanding

Author(s) -

Pingping Li,

Zhao Lu

Publication year - 2022

Publication title -

computer science and information systems

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.244

H-Index - 24

eISSN - 2406-1018

pISSN - 1820-0214

DOI - 10.2298/csis220322037l

Subject(s) - computer science , softmax function , gesture recognition , convolutional neural network , artificial intelligence , pattern recognition (psychology) , robustness (evolution) , gesture , classifier (uml) , feature extraction , sketch recognition , channel (broadcasting) , kernel (algebra) , artificial neural network , feature (linguistics) , convolution (computer science) , computer vision , computer network , biochemistry , chemistry , linguistics , mathematics , philosophy , combinatorics , gene

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