Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/41593

Mobile Stress Recognition and Relaxation Support with SmartCoping: User-Adaptive Interpretation of Physiological Stress Parameters

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Title: Mobile Stress Recognition and Relaxation Support with SmartCoping: User-Adaptive Interpretation of Physiological Stress Parameters
Authors: Reimer, Ulrich
Laurenzi, Emanuele
Maier, Edith
Ulmer, Tom
Keywords: biofeedback
data mining
heart rate variability
stress recognition
user adaptation
Issue Date: 04 Jan 2017
Abstract: The paper describes a mobile solution for the early recognition and management of stress based on continuous monitoring of heart rate variability (HRV) and contextual data (activity, location, etc.). A central contribution is the automatic calibration of measured HRV values to perceived stress levels during an initial learning phase where the user provides feedback when prompted by the system. This is crucial as HRV varies greatly among people. A data mining component identifies recurrent stress situations so that people can develop appropriate stress avoidance and coping strategies. A biofeedback component based on breathing exercises helps users relax. The solution is being tested by healthy volunteers before conducting a clinical study with patients after alcohol detoxification.
Pages/Duration: 10 pages
URI/DOI: http://hdl.handle.net/10125/41593
ISBN: 978-0-9981331-0-2
DOI: 10.24251/HICSS.2017.435
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International
Appears in Collections:Mobile Apps and Wearables for Health Management, Analytics, and Decision Making Minitrack



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