Comparative study of ensemble method vs deep learning on human activity recognition for elderly care
A drastic increase in healthcare demand has come from the explosive growth of the older population. The elderly are, on average, more vulnerable to health problems than other age groups. Unpredictable events, such as sudden falls, can be avoided with proper monitoring. Activity recognition can help...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English English |
| Published: |
Penerbit UPSI
2022
|
| Subjects: | |
| Online Access: | https://eprints.ums.edu.my/id/eprint/34141/1/Comparative%20study%20of%20ensemble%20method%20vs%20deep%20learning%20on%20human%20activity%20recognition%20for%20elderly%20care.pdf https://eprints.ums.edu.my/id/eprint/34141/3/Comparative%20study%20of%20ensemble%20method%20vs%20deep%20learning%20on%20human%20activity%20recognition%20for%20elderly%20care%20_ABSTRACT.pdf |
Internet
https://eprints.ums.edu.my/id/eprint/34141/1/Comparative%20study%20of%20ensemble%20method%20vs%20deep%20learning%20on%20human%20activity%20recognition%20for%20elderly%20care.pdfhttps://eprints.ums.edu.my/id/eprint/34141/3/Comparative%20study%20of%20ensemble%20method%20vs%20deep%20learning%20on%20human%20activity%20recognition%20for%20elderly%20care%20_ABSTRACT.pdf