Wifi-based location-independent human activity recognition and localization using deep learning
Detecting human activities holds paramount significance across diverse domains, encompassing healthcare, security, autonomous driving, and human-computer interaction. Leveraging wireless signals for activity sensing exploits the intricate influence of human activities on signal propagation phenomena...
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | en |
| Published: |
2024
|
| Subjects: | |
| Online Access: | http://eprints.utem.edu.my/id/eprint/28837/6/Response%20time%20optimization%20with%20Internet-of-Things-based%20wireless%20sensor%20network%20emergency%20alert%20system%20for%20firefighter.pdf http://eprints.utem.edu.my/id/eprint/28837/ https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=124499 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Internet
http://eprints.utem.edu.my/id/eprint/28837/6/Response%20time%20optimization%20with%20Internet-of-Things-based%20wireless%20sensor%20network%20emergency%20alert%20system%20for%20firefighter.pdfhttp://eprints.utem.edu.my/id/eprint/28837/
https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=124499
