Vision Sensor for Automatic Recognition of Human Activities via Hybrid Features and Multi-Class Support Vector Machine

Vision Sensor for Automatic Recognition of Human Activities via Hybrid Features and Multi-Class Support Vector Machine

Over recent years, automated Human Activity Recognition (HAR) has been an area of concern for many researchers due to its widespread application in surveillance systems, healthcare environments, and many more. This has led researchers to develop coherent and robust systems that efficiently perform H...

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Bibliographic Details
Main Authors: Saleha Kamal, Haifa F. Alhasson, Mohammed Alnusayri, Mohammed Alatiyyah, Hanan Aljuaid, Ahmad Jalal, Hui Liu
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Sensors
Subjects:
human activity recognition
object detectors
spatio-temporal features
key body points
body pose
machine learning
Online Access:https://www.mdpi.com/1424-8220/25/1/200
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