Towards machine learning driven self-guided virtual reality exposure therapy based on arousal state detection from multimodal data

Rahman, MA, Brown, DJ ORCID logoORCID: https://orcid.org/0000-0002-1677-7485, Shopland, N ORCID logoORCID: https://orcid.org/0000-0003-2082-9070, Harris, MC ORCID logoORCID: https://orcid.org/0000-0003-4559-815X, Turabee, ZB ORCID logoORCID: https://orcid.org/0000-0003-2613-7438, Heym, N ORCID logoORCID: https://orcid.org/0000-0003-2414-8854, Sumich, A ORCID logoORCID: https://orcid.org/0000-0003-4333-8442, Standen, B ORCID logoORCID: https://orcid.org/0000-0002-6615-063X, Downes, D ORCID logoORCID: https://orcid.org/0000-0002-4886-5260, Xing, Y ORCID logoORCID: https://orcid.org/0000-0002-5374-7269, Thomas, C ORCID logoORCID: https://orcid.org/0000-0002-1661-4221, Haddick, S ORCID logoORCID: https://orcid.org/0000-0001-7170-1670, Premkumar, P, Nastase, S, Burton, A ORCID logoORCID: https://orcid.org/0000-0002-9073-8310, Lewis, J ORCID logoORCID: https://orcid.org/0000-0002-2788-5043 and Mahmud, M ORCID logoORCID: https://orcid.org/0000-0002-2037-8348, 2022. Towards machine learning driven self-guided virtual reality exposure therapy based on arousal state detection from multimodal data. In: Mahmud, M ORCID logoORCID: https://orcid.org/0000-0002-2037-8348, He, J, Vassanelli, S, van Zundert, A and Zhong, N, eds., Brain Informatics: 15th International Conference, BI 2022, Padua, Italy, July 15–17, 2022, Proceedings. Cham: Springer International Publishing, pp. 195-209. ISBN 9783031150364

Full text not available from this repository.
Item Type: Chapter in book
Description: Paper presented at Brain Informatics 15th International Conference, BI 2022, Padua, Italy, July 15–17, 2022.
Creators: Rahman, M.A., Brown, D.J., Shopland, N., Harris, M.C., Turabee, Z.B., Heym, N., Sumich, A., Standen, B., Downes, D., Xing, Y., Thomas, C., Haddick, S., Premkumar, P., Nastase, S., Burton, A., Lewis, J. and Mahmud, M.
Publisher: Springer International Publishing
Place of Publication: Cham
Date: 20 August 2022
ISBN: 9783031150364
Identifiers:
Number
Type
10.1007/978-3-031-15037-1_17
DOI
1593012
Other
Divisions: Schools > Nottingham School of Art & Design
Schools > School of Architecture, Design and the Built Environment
Schools > School of Science and Technology
Schools > School of Social Sciences
Record created by: Laura Ward
Date Added: 30 Jan 2023 12:36
Last Modified: 30 Jan 2023 12:36
URI: https://irep.ntu.ac.uk/id/eprint/48113

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