Multi-user human activity recognition through adaptive location-independent WiFi signal characteristics
In recent years, the remarkable advancement of WiFi sensing technologies has opened new frontiers in human activity recognition, enabling innovative solutions that transcend traditional methods and improve the capabilities of intelligent environments. Individual dynamic movements such as walking, si...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | en |
| Published: |
Institute Of Electrical And Electronics Engineers Inc.
2024
|
| Online Access: | http://eprints.utem.edu.my/id/eprint/28736/2/01298150420251354321747.pdf http://eprints.utem.edu.my/id/eprint/28736/ https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10623431 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|