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A Comprehensive Literature Review on the Use of Restricted Boltzmann Machines and Deep Belief Networks for Human Action Recognition

2025-02-16

Abstract excerpt

This literature review provides a comprehensive synthesis of research on the use of Restricted Boltzmann Machines (RBMs) and Deep Belief Networks (DBNs) for human action recognition (HAR) from 2012 to the present. The review begins by introducing the theoretical foundations of RBMs and DBNs, detailing their architectures, training algorithms (notably contrastive divergence), and various extensions—including...

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Literature Corpus work
075c8ef9-c34e-5ead-a096-7d497a0f1c95
DOI
10.20944/preprints202502.1119.v1
Open publication

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A Comprehensive Literature Review on the Use of Restricted Boltzmann Machines and Deep Belief Networks for Human Action RecognitionDOI 10.20944/preprints202502.1119.v1
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