
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,
Lu Zhao
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