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

  • Authors:

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

  • Affiliations:

  • The Ohio State University, Columbus, OH;Universit of South Florida, Tampa, FL;The Ohio State University, Columbus, OH;University of Minnesota, Duluth, MN;University of Memphis, Memphis, TN;University of Memphis, Memphis, TN

  • Venue:
  • Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems
  • Year:
  • 2011

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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.