Towards the stress analytics framework: Managing, mining, and visualizing multi-modal data for stress awareness

H. Kurniawan, M. Pechenizkiy

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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Abstract

Stress is experienced by many people on daily basis. Often it remains to be unrecognized and unnoticed. We propose a framework for stress analytics and describe technologies facilitating management and exploration of multi-modal affective data captured in physiological signals, such as galvanic skin response and heart rate, as well as in facial expression, in speech and in written text. We envision that stress analytics can become a useful tool as for individual personal use for stress-awareness as for researchers aiming to study the phenomenon of stress.
Original languageEnglish
Title of host publication27th International Symposium on Computer-Based Medical Systems (CMBS'14, New York NY, USA, May 27-29, 2014)
PublisherIEEE Computer Society
Pages541-542
DOIs
Publication statusPublished - 2014
Eventconference; 27th International Symposium on Computer-Based Medical Systems; 2014-05-27; 2014-05-29 -
Duration: 27 May 201429 May 2014

Conference

Conferenceconference; 27th International Symposium on Computer-Based Medical Systems; 2014-05-27; 2014-05-29
Period27/05/1429/05/14
Other27th International Symposium on Computer-Based Medical Systems

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Kurniawan, H., & Pechenizkiy, M. (2014). Towards the stress analytics framework: Managing, mining, and visualizing multi-modal data for stress awareness. In 27th International Symposium on Computer-Based Medical Systems (CMBS'14, New York NY, USA, May 27-29, 2014) (pp. 541-542). IEEE Computer Society. https://doi.org/10.1109/CBMS.2014.129
Kurniawan, H. ; Pechenizkiy, M. / Towards the stress analytics framework: Managing, mining, and visualizing multi-modal data for stress awareness. 27th International Symposium on Computer-Based Medical Systems (CMBS'14, New York NY, USA, May 27-29, 2014). IEEE Computer Society, 2014. pp. 541-542
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abstract = "Stress is experienced by many people on daily basis. Often it remains to be unrecognized and unnoticed. We propose a framework for stress analytics and describe technologies facilitating management and exploration of multi-modal affective data captured in physiological signals, such as galvanic skin response and heart rate, as well as in facial expression, in speech and in written text. We envision that stress analytics can become a useful tool as for individual personal use for stress-awareness as for researchers aiming to study the phenomenon of stress.",
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Kurniawan, H & Pechenizkiy, M 2014, Towards the stress analytics framework: Managing, mining, and visualizing multi-modal data for stress awareness. in 27th International Symposium on Computer-Based Medical Systems (CMBS'14, New York NY, USA, May 27-29, 2014). IEEE Computer Society, pp. 541-542, conference; 27th International Symposium on Computer-Based Medical Systems; 2014-05-27; 2014-05-29, 27/05/14. https://doi.org/10.1109/CBMS.2014.129

Towards the stress analytics framework: Managing, mining, and visualizing multi-modal data for stress awareness. / Kurniawan, H.; Pechenizkiy, M.

27th International Symposium on Computer-Based Medical Systems (CMBS'14, New York NY, USA, May 27-29, 2014). IEEE Computer Society, 2014. p. 541-542.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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Kurniawan H, Pechenizkiy M. Towards the stress analytics framework: Managing, mining, and visualizing multi-modal data for stress awareness. In 27th International Symposium on Computer-Based Medical Systems (CMBS'14, New York NY, USA, May 27-29, 2014). IEEE Computer Society. 2014. p. 541-542 https://doi.org/10.1109/CBMS.2014.129