Conference Paper/Proceeding/Abstract 41 views
Exploring Human Activity Recognition with Acoustic Data: A Comparative Study of CNN-LSTM, ViViT, and ResNet-Temporal Transformer Model
AALAA HUMAIDAN,
Jeny Roy 
,
Sara Sharifzadeh ,
Ruchita Mehta,
Andrea Tales ,
Joe MacInnes
,
Sara Sharifzadeh ,
Ruchita Mehta,
Andrea Tales ,
Joe MacInnes
2025 IEEE Symposium on Computational Intelligence in Image, Signal Processing and Synthetic Media, Issue: IEEE Symposium Series on Computational Intelligence,
Swansea University Authors:
AALAA HUMAIDAN, Jeny Roy , Sara Sharifzadeh , Andrea Tales , Joe MacInnes
Abstract
Exploring Human Activity Recognition with Acoustic Data: A Comparative Study of CNN-LSTM, ViViT, and ResNet-Temporal Transformer Model
| Published in: | 2025 IEEE Symposium on Computational Intelligence in Image, Signal Processing and Synthetic Media |
|---|---|
| Published: |
IEEE
|
| URI: | https://cronfa.swan.ac.uk/Record/cronfa69135 |
| College: |
Faculty of Medicine, Health and Life Sciences |
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| Funders: |
The project is partly funded by the IAA project and the data set used is based on my previous work at Coventry University and a funded PhD proposal |
| Issue: |
IEEE Symposium Series on Computational Intelligence, |