Demo: An unobtrusively wearable sensor suite for inferring the onset, causality, and consequences of stress in the field

Emre Ertin; Andrew Raij; Nathan Stohs; Mustafa Al'Absi; Santosh Kumar; Somnath Mitra

doi:10.1145/2070942.2071027

Demo: An unobtrusively wearable sensor suite for inferring the onset, causality, and consequences of stress in the field

Emre Ertin, Andrew Raij, Nathan Stohs, Mustafa Al'Absi, Santosh Kumar, Somnath Mitra

Family Medicine and Biobehavioral Health

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 Scopus citations

Abstract

Effect of psychosocial stress on health has been a central focus area of public health research. This demonstration features a wireless sensor suite called AutoSense that collects and processes cardiovascular, respiratory, and thermoregularity measurements that can inform about the general stress state of test subjects in their natural environment. The AutoSense suite is complemented with a software framework called FieldStream on a smart phone that processes sensor measurements received from AutoSense to infer stress and other rich human behaviors (e.g., activity). In the demonstration we will have subjects wearing AutoSense suite and ANT enabled mobile phones providing real time data analysis to compute various stress indices and contextual information based on activity and respiration analysis.

Original language	English (US)
Title of host publication	SenSys 2011 - Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems
Pages	437-438
Number of pages	2
DOIs	https://doi.org/10.1145/2070942.2071027
State	Published - 2011
Event	9th ACM Conference on Embedded Networked Sensor Systems, SenSys 2011 - Seattle, WA, United States Duration: Nov 1 2011 → Nov 4 2011

Publication series

Name	SenSys 2011 - Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems

Other

Other	9th ACM Conference on Embedded Networked Sensor Systems, SenSys 2011
Country/Territory	United States
City	Seattle, WA
Period	11/1/11 → 11/4/11

Keywords

mobile health
psychological stress monitoring
wearable physiological sensors

UN SDGs

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

Publisher link

10.1145/2070942.2071027

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Ertin, E., Raij, A., Stohs, N., Al'Absi, M., Kumar, S., & Mitra, S. (2011). Demo: An unobtrusively wearable sensor suite for inferring the onset, causality, and consequences of stress in the field. In SenSys 2011 - Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems (pp. 437-438). (SenSys 2011 - Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems). https://doi.org/10.1145/2070942.2071027

Demo: An unobtrusively wearable sensor suite for inferring the onset, causality, and consequences of stress in the field. / Ertin, Emre; Raij, Andrew; Stohs, Nathan et al.
SenSys 2011 - Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems. 2011. p. 437-438 (SenSys 2011 - Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Ertin, E, Raij, A, Stohs, N, Al'Absi, M, Kumar, S & Mitra, S 2011, Demo: An unobtrusively wearable sensor suite for inferring the onset, causality, and consequences of stress in the field. in SenSys 2011 - Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems. SenSys 2011 - Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems, pp. 437-438, 9th ACM Conference on Embedded Networked Sensor Systems, SenSys 2011, Seattle, WA, United States, 11/1/11. https://doi.org/10.1145/2070942.2071027

Ertin E, Raij A, Stohs N, Al'Absi M, Kumar S, Mitra S. Demo: An unobtrusively wearable sensor suite for inferring the onset, causality, and consequences of stress in the field. In SenSys 2011 - Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems. 2011. p. 437-438. (SenSys 2011 - Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems). doi: 10.1145/2070942.2071027

Ertin, Emre ; Raij, Andrew ; Stohs, Nathan et al. / Demo : An unobtrusively wearable sensor suite for inferring the onset, causality, and consequences of stress in the field. SenSys 2011 - Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems. 2011. pp. 437-438 (SenSys 2011 - Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems).

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abstract = "Effect of psychosocial stress on health has been a central focus area of public health research. This demonstration features a wireless sensor suite called AutoSense that collects and processes cardiovascular, respiratory, and thermoregularity measurements that can inform about the general stress state of test subjects in their natural environment. The AutoSense suite is complemented with a software framework called FieldStream on a smart phone that processes sensor measurements received from AutoSense to infer stress and other rich human behaviors (e.g., activity). In the demonstration we will have subjects wearing AutoSense suite and ANT enabled mobile phones providing real time data analysis to compute various stress indices and contextual information based on activity and respiration analysis.",

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Demo: An unobtrusively wearable sensor suite for inferring the onset, causality, and consequences of stress in the field

Abstract

Publication series

Other

Keywords

UN SDGs

Publisher link

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