Human activity sensing using Wi-Fi channel impulse response
This dissertation delves into the field of Human Activity Recognition(HAR), focusing on the intersection of deep learning and Wi-Fi technologies. Our main challenge is to implement HAR using Wi-Fi channel response, which is an evolving area where traditional HAR systems rely primarily on sensor-base...
Saved in:
Main Author: | Du, Jiahui |
---|---|
Other Authors: | Law Choi Look |
Format: | Thesis-Master by Coursework |
Language: | English |
Published: |
Nanyang Technological University
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/175459 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Development of a human gesture dataset using 802.11ax WiFi CSI
by: Ma, Zhenduo
Published: (2024) -
Device-free occupant activity sensing using WiFi-enabled IoT devices for smart homes
by: Yang, Jianfei, et al.
Published: (2020) -
RenderFi: human pose rendering via wireless signals
by: Huang, Runxi
Published: (2024) -
Activity sensing using WIFI CSI
by: Zhang, Li Wen
Published: (2024) -
Wireless fidelity (Wi-Fi) sensing for human gesture detection & recognition
by: Toh, Douglas Zheng Xun
Published: (2024)