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...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| 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 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|