Human Action Performance Using Deep Neuro-Fuzzy Recurrent Attention Model

Human Action Performance Using Deep Neuro-Fuzzy Recurrent Attention Model

A great number of computer vision publications have focused on distinguishing between human action recognition and classification rather than the intensity of actions performed. Indexing the intensity which determines the performance of human actions is a challenging task due to the uncertainty and...

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Bibliographic Details
Main Authors: Nihar Bendre, Nima Ebadi, John J. Prevost, Peyman Najafirad
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Attention mechanism
artificial intelligence
behavior analysis
computer vision
convolutional neural networks
fuzzy logic
Online Access:https://ieeexplore.ieee.org/document/9043480/

Internet

https://ieeexplore.ieee.org/document/9043480/

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