Improved wolf swarm optimization with deep-learning-based movement analysis and self-regulated human activity recognition

Improved wolf swarm optimization with deep-learning-based movement analysis and self-regulated human activity recognition

A wide variety of applications like patient monitoring, rehabilitation sensing, sports and senior surveillance require a considerable amount of knowledge in recognizing physical activities of a person captured using sensors. The goal of human activity recognition is to identify human activities from...

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Bibliographic Details
Main Authors: Tamilvizhi Thanarajan, Youseef Alotaibi, Surendran Rajendran, Krishnaraj Nagappan
Format: Article
Language:English
Published: AIMS Press 2023-03-01
Series:AIMS Mathematics
Subjects:
human activity recognition
deep learning
healthcare
parameter tuning
dimensionality reduction
Online Access:https://www.aimspress.com/article/doi/10.3934/math.2023629?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/math.2023629?viewType=HTML

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