A speech-based convolutional neural network for human body posture classification

A speech-based convolutional neural network for human body posture classification

In recent years, computing and sensing advances have helped to develop efficient human posture classification systems, which assist in creating health systems that contribute to enhancing elder’s and disable’s life quality in context-aware and ambient assistive living applications. Other application...

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Bibliographic Details
Main Author: Abdulmohsin Husam Ali
Format: Article
Language:English
Published: De Gruyter 2024-10-01
Series:Journal of Intelligent Systems
Subjects:
classification of body movements
health system
body position detection
mel-frequency cepstral coefficient
correlation-based feature selection
artificial hydrocarbon networks
and convolutional neural network
Online Access:https://doi.org/10.1515/jisys-2022-0326
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https://doi.org/10.1515/jisys-2022-0326

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