Conference Paper/Proceeding/Abstract 80 views 13 downloads
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
-
PDF | Accepted Manuscript
Author accepted manuscript document released under the terms of a Creative Commons CC-BY licence using the Swansea University Research Publications Policy (rights retention).
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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 |
| first_indexed |
2025-03-22T16:01:52Z |
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| last_indexed |
2025-04-29T04:40:41Z |
| id |
cronfa69135 |
| recordtype |
SURis |
| fullrecord |
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2025-04-28T12:03:34.3249478 v2 69135 2025-03-22 Exploring Human Activity Recognition with Acoustic Data: A Comparative Study of CNN-LSTM, ViViT, and ResNet-Temporal Transformer Model 9d418b788707447f2ad49125fa3867cf AALAA HUMAIDAN AALAA HUMAIDAN true false 00fd1a17e776f2e1d532ab4125995465 0009-0006-3354-7557 Jeny Roy Jeny Roy true false a4e15f304398ecee3f28c7faec69c1b0 0000-0003-4621-2917 Sara Sharifzadeh Sara Sharifzadeh true false 9b53a866ddacb566c38ee336706aef5f 0000-0003-4825-4555 Andrea Tales Andrea Tales true false 06dcb003ec50192bafde2c77bef4fd5c 0000-0002-5134-1601 Joe MacInnes Joe MacInnes true false 2025-03-22 MACS Conference Paper/Proceeding/Abstract 2025 IEEE Symposium on Computational Intelligence in Image, Signal Processing and Synthetic Media IEEE Symposium Series on Computational Intelligence, IEEE 0 0 0 0001-01-01 COLLEGE NANME Mathematics and Computer Science School COLLEGE CODE MACS Swansea University Other 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 2025-04-28T12:03:34.3249478 2025-03-22T11:51:08.4451291 Faculty of Medicine, Health and Life Sciences School of Health and Social Care - Public Health AALAA HUMAIDAN 1 Jeny Roy 0009-0006-3354-7557 2 Sara Sharifzadeh 0000-0003-4621-2917 3 Ruchita Mehta 4 Andrea Tales 0000-0003-4825-4555 5 Joe MacInnes 0000-0002-5134-1601 6 69135__33859__8b03d12386bc415886fd571aded0b2ac.pdf IEEE_Conference_Template_Revised_Submission.pdf 2025-03-22T13:13:21.7234283 Output 318034 application/pdf Accepted Manuscript true 2025-04-22T00:00:00.0000000 Author accepted manuscript document released under the terms of a Creative Commons CC-BY licence using the Swansea University Research Publications Policy (rights retention). true eng https://creativecommons.org/licenses/by/4.0/deed.en |
| title |
Exploring Human Activity Recognition with Acoustic Data: A Comparative Study of CNN-LSTM, ViViT, and ResNet-Temporal Transformer Model |
| spellingShingle |
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 Andrea Tales Joe MacInnes |
| title_short |
Exploring Human Activity Recognition with Acoustic Data: A Comparative Study of CNN-LSTM, ViViT, and ResNet-Temporal Transformer Model |
| title_full |
Exploring Human Activity Recognition with Acoustic Data: A Comparative Study of CNN-LSTM, ViViT, and ResNet-Temporal Transformer Model |
| title_fullStr |
Exploring Human Activity Recognition with Acoustic Data: A Comparative Study of CNN-LSTM, ViViT, and ResNet-Temporal Transformer Model |
| title_full_unstemmed |
Exploring Human Activity Recognition with Acoustic Data: A Comparative Study of CNN-LSTM, ViViT, and ResNet-Temporal Transformer Model |
| title_sort |
Exploring Human Activity Recognition with Acoustic Data: A Comparative Study of CNN-LSTM, ViViT, and ResNet-Temporal Transformer Model |
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9d418b788707447f2ad49125fa3867cf 00fd1a17e776f2e1d532ab4125995465 a4e15f304398ecee3f28c7faec69c1b0 9b53a866ddacb566c38ee336706aef5f 06dcb003ec50192bafde2c77bef4fd5c |
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9d418b788707447f2ad49125fa3867cf_***_AALAA HUMAIDAN 00fd1a17e776f2e1d532ab4125995465_***_Jeny Roy a4e15f304398ecee3f28c7faec69c1b0_***_Sara Sharifzadeh 9b53a866ddacb566c38ee336706aef5f_***_Andrea Tales 06dcb003ec50192bafde2c77bef4fd5c_***_Joe MacInnes |
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AALAA HUMAIDAN Jeny Roy Sara Sharifzadeh Andrea Tales Joe MacInnes |
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AALAA HUMAIDAN Jeny Roy Sara Sharifzadeh Ruchita Mehta Andrea Tales Joe MacInnes |
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2025 IEEE Symposium on Computational Intelligence in Image, Signal Processing and Synthetic Media |
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IEEE Symposium Series on Computational Intelligence, |
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IEEE |
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