Linking recorded data with emotive and adaptive computing in an eHealth environment

Leslie D. Ball, David A. Bradley, Andrea Szymkowiak, Simon Brownsell

Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 3 Citations

Abstract

Telecare, and particularly lifestyle monitoring, currently relies on the ability to detect and respond to changes in individual behaviour using data derived from sensors around the home. This means that a significant aspect of behaviour, that of an individuals emotional state, is not accounted for in reaching a conclusion as to the form of response required. The linked concepts of emotive and adaptive computing offer an opportunity to include information about emotional state and the paper considers how current developments in this area have the potential to be integrated within telecare and other areas of eHealth. In doing so, it looks at the development of and current state of the art of both emotive and adaptive computing, including its conceptual background, and places them into an overall eHealth context for application and development.
Original languageEnglish
Title of host publicationProceedings of the 1st IEEE Conference on Healthcare Informatics, Imaging and Systems Biology, San Jose, California, 26-29 July, 2011
EditorsAziz Boxwala, Xue-wen Chen, James S. Duncan, Satoru Miyano, Tanveer Syeda-Mahmood
Place of PublicationLos Alamitos, CA
PublisherIEEE
Pages264-271
Number of pages8
ISBN (Electronic) 9780769544076
ISBN (Print)9781457703256
DOIs
StatePublished - 29 Jul 2011
EventFirst IEEE International Conference on Healthcare Informatics, Imaging and Systems Biology - San Jose, United States

Conference

ConferenceFirst IEEE International Conference on Healthcare Informatics, Imaging and Systems Biology
Abbreviated titleHISB 2011
CountryUnited States
CitySan Jose
Period26/07/1129/07/11

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Cite this

Ball, L. D., Bradley, D. A., Szymkowiak, A., & Brownsell, S. (2011). Linking recorded data with emotive and adaptive computing in an eHealth environment. In A. Boxwala, X. Chen, J. S. Duncan, S. Miyano, & T. Syeda-Mahmood (Eds.), Proceedings of the 1st IEEE Conference on Healthcare Informatics, Imaging and Systems Biology, San Jose, California, 26-29 July, 2011 (pp. 264-271). Los Alamitos, CA: IEEE . DOI: 10.1109/HISB.2011.33

Ball, Leslie D.; Bradley, David A.; Szymkowiak, Andrea; Brownsell, Simon / Linking recorded data with emotive and adaptive computing in an eHealth environment.

Proceedings of the 1st IEEE Conference on Healthcare Informatics, Imaging and Systems Biology, San Jose, California, 26-29 July, 2011. ed. / Aziz Boxwala; Xue-wen Chen; James S. Duncan; Satoru Miyano; Tanveer Syeda-Mahmood. Los Alamitos, CA : IEEE , 2011. p. 264-271.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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abstract = "Telecare, and particularly lifestyle monitoring, currently relies on the ability to detect and respond to changes in individual behaviour using data derived from sensors around the home. This means that a significant aspect of behaviour, that of an individuals emotional state, is not accounted for in reaching a conclusion as to the form of response required. The linked concepts of emotive and adaptive computing offer an opportunity to include information about emotional state and the paper considers how current developments in this area have the potential to be integrated within telecare and other areas of eHealth. In doing so, it looks at the development of and current state of the art of both emotive and adaptive computing, including its conceptual background, and places them into an overall eHealth context for application and development.",
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Ball, LD, Bradley, DA, Szymkowiak, A & Brownsell, S 2011, Linking recorded data with emotive and adaptive computing in an eHealth environment. in A Boxwala, X Chen, JS Duncan, S Miyano & T Syeda-Mahmood (eds), Proceedings of the 1st IEEE Conference on Healthcare Informatics, Imaging and Systems Biology, San Jose, California, 26-29 July, 2011. IEEE , Los Alamitos, CA, pp. 264-271, First IEEE International Conference on Healthcare Informatics, Imaging and Systems Biology, San Jose, United States, 26-29 July. DOI: 10.1109/HISB.2011.33

Linking recorded data with emotive and adaptive computing in an eHealth environment. / Ball, Leslie D.; Bradley, David A.; Szymkowiak, Andrea; Brownsell, Simon.

Proceedings of the 1st IEEE Conference on Healthcare Informatics, Imaging and Systems Biology, San Jose, California, 26-29 July, 2011. ed. / Aziz Boxwala; Xue-wen Chen; James S. Duncan; Satoru Miyano; Tanveer Syeda-Mahmood. Los Alamitos, CA : IEEE , 2011. p. 264-271.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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T1 - Linking recorded data with emotive and adaptive computing in an eHealth environment

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N2 - Telecare, and particularly lifestyle monitoring, currently relies on the ability to detect and respond to changes in individual behaviour using data derived from sensors around the home. This means that a significant aspect of behaviour, that of an individuals emotional state, is not accounted for in reaching a conclusion as to the form of response required. The linked concepts of emotive and adaptive computing offer an opportunity to include information about emotional state and the paper considers how current developments in this area have the potential to be integrated within telecare and other areas of eHealth. In doing so, it looks at the development of and current state of the art of both emotive and adaptive computing, including its conceptual background, and places them into an overall eHealth context for application and development.

AB - Telecare, and particularly lifestyle monitoring, currently relies on the ability to detect and respond to changes in individual behaviour using data derived from sensors around the home. This means that a significant aspect of behaviour, that of an individuals emotional state, is not accounted for in reaching a conclusion as to the form of response required. The linked concepts of emotive and adaptive computing offer an opportunity to include information about emotional state and the paper considers how current developments in this area have the potential to be integrated within telecare and other areas of eHealth. In doing so, it looks at the development of and current state of the art of both emotive and adaptive computing, including its conceptual background, and places them into an overall eHealth context for application and development.

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Ball LD, Bradley DA, Szymkowiak A, Brownsell S. Linking recorded data with emotive and adaptive computing in an eHealth environment. In Boxwala A, Chen X, Duncan JS, Miyano S, Syeda-Mahmood T, editors, Proceedings of the 1st IEEE Conference on Healthcare Informatics, Imaging and Systems Biology, San Jose, California, 26-29 July, 2011. Los Alamitos, CA: IEEE . 2011. p. 264-271. Available from, DOI: 10.1109/HISB.2011.33