Development of fall detection and activity recognition using threshold based method and neural network

Falls are dangerous and contribute to over 80% of injury-related hospitalization especially amongst the elderly. Hence, fall detection is important for preventing severe injuries and accidental deaths. Meanwhile, recognizing human activity is important for monitoring health status and quality of lif...

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Bibliographic Details
Main Authors: Sai, Siong Jun, Harun @ Ramli, Hafiz Rashidi, Che Soh, Azura, Kamsani, Noor Ain, Raja Ahmad, Raja Mohd Kamil, Ahmad, Siti Anom, Ishak, Asnor Juraiza
Format: Article
Language:English
Published: Institute of Advanced Engineering and Science 2020
Online Access:http://psasir.upm.edu.my/id/eprint/88434/1/ABSTRACT.pdf
http://psasir.upm.edu.my/id/eprint/88434/
http://ijeecs.iaescore.com/index.php/IJEECS/article/view/20927
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