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

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

doi:10.1109/HISB.2011.33

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 proceeding › Conference contribution

3 Citations (Scopus)

97 Downloads (Pure)

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 language	English
Title of host publication	Proceedings of the 1st IEEE Conference on Healthcare Informatics, Imaging and Systems Biology, San Jose, California, 26-29 July, 2011
Editors	Aziz Boxwala, Xue-wen Chen, James S. Duncan, Satoru Miyano, Tanveer Syeda-Mahmood
Place of Publication	Los Alamitos, CA
Publisher	IEEE
Pages	264-271
Number of pages	8
ISBN (Electronic)	9780769544076
ISBN (Print)	9781457703256
DOIs	https://doi.org/10.1109/HISB.2011.33
Publication status	Published - 29 Jul 2011
Event	First IEEE International Conference on Healthcare Informatics, Imaging and Systems Biology - IBM Almaden Research Center, San Jose, United States Duration: 26 Jul 2011 → 29 Jul 2011

Conference

Conference	First IEEE International Conference on Healthcare Informatics, Imaging and Systems Biology
Abbreviated title	HISB 2011
Country/Territory	United States
City	San Jose
Period	26/07/11 → 29/07/11

Keywords

eHealth
Emotive computing
Adaptive computing
Telecare
Lifestyle monitoring

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/HISB.2011.33

Ball_LinkingRecordedDataWithEmotiveAndAdaptiveComputing_Author_2011Accepted author manuscript, 147 KB

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). IEEE . https://doi.org/10.1109/HISB.2011.33

Ball, Leslie D. ; Bradley, David A. ; Szymkowiak, Andrea et al. / 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. editor / Aziz Boxwala ; Xue-wen Chen ; James S. Duncan ; Satoru Miyano ; Tanveer Syeda-Mahmood. Los Alamitos, CA : IEEE , 2011. pp. 264-271

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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.",

author = "Ball, {Leslie D.} and Bradley, {David A.} and Andrea Szymkowiak and Simon Brownsell",

year = "2011",

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booktitle = "Proceedings of the 1st IEEE Conference on Healthcare Informatics, Imaging and Systems Biology, San Jose, California, 26-29 July, 2011",

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note = "First IEEE International Conference on Healthcare Informatics, Imaging and Systems Biology, HISB 2011 ; Conference date: 26-07-2011 Through 29-07-2011",

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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, California, United States, 26/07/11. https://doi.org/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 et al.

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 proceeding › Conference contribution

TY - GEN

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

AU - Ball, Leslie D.

AU - Bradley, David A.

AU - Szymkowiak, Andrea

AU - Brownsell, Simon

PY - 2011/7/29

Y1 - 2011/7/29

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.

U2 - 10.1109/HISB.2011.33

DO - 10.1109/HISB.2011.33

M3 - Conference contribution

SN - 9781457703256

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BT - Proceedings of the 1st IEEE Conference on Healthcare Informatics, Imaging and Systems Biology, San Jose, California, 26-29 July, 2011

A2 - Boxwala, Aziz

A2 - Chen, Xue-wen

A2 - Duncan, James S.

A2 - Miyano, Satoru

A2 - Syeda-Mahmood, Tanveer

PB - IEEE

CY - Los Alamitos, CA

T2 - First IEEE International Conference on Healthcare Informatics, Imaging and Systems Biology

Y2 - 26 July 2011 through 29 July 2011

ER -

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 https://doi.org/10.1109/HISB.2011.33

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

Abstract

Conference

Keywords

UN SDGs

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