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

• 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

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...