Design of an efficient spiking neural network for human activity recognition

Human activity recognition (HAR) using Wi-Fi Channel State Information (CSI) has attracted significant interest as an alternative to conventional methods due to its potential to address human privacy concerns. While Long Short-Term Memory (LSTM) models have shown promising results in HAR, their reso...

Full description

Saved in:
Bibliographic Details
Main Author: Tan, Yee Leong
Format: Thesis
Language:English
English
Published: 2024
Online Access:http://eprints.utem.edu.my/id/eprint/27405/1/Design%20of%20an%20efficient%20spiking%20neural%20network%20for%20human%20activity%20recognition.pdf
http://eprints.utem.edu.my/id/eprint/27405/2/Design%20of%20an%20efficient%20spiking%20neural%20network%20for%20human%20activity%20recognition.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items