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amsys 16(11): e2

Research Article

Let Me Relax: Toward Automated Sedentary State Recognition and Ubiquitous Mental Wellness Solutions

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  • @ARTICLE{10.4108/eai.14-10-2015.2261900,
        author={Vijay Rajanna and Folami Alamudun and Daniel Goldberg and Tracy Hammond},
        title={Let Me Relax: Toward Automated Sedentary State Recognition and Ubiquitous Mental Wellness Solutions},
        journal={EAI Endorsed Transactions on Ambient Systems},
        volume={3},
        number={11},
        publisher={ACM},
        journal_a={AMSYS},
        year={2015},
        month={12},
        keywords={personal health assistant, sedentary state recognition, intervention techniques, relaxation, stress, anxiety, cognitive reappraisal, mental wellness, ubiquitous computing},
        doi={10.4108/eai.14-10-2015.2261900}
    }
    
  • Vijay Rajanna
    Folami Alamudun
    Daniel Goldberg
    Tracy Hammond
    Year: 2015
    Let Me Relax: Toward Automated Sedentary State Recognition and Ubiquitous Mental Wellness Solutions
    AMSYS
    EAI
    DOI: 10.4108/eai.14-10-2015.2261900
Vijay Rajanna1,*, Folami Alamudun1, Daniel Goldberg1, Tracy Hammond1
  • 1: Sketch Recognition Lab, Dept. of Computer Science & Engineering, Texas A&M University, College Station, Texas
*Contact email: vijay.drajanna@gmail.com

Abstract

Advances in ubiquitous computing technology improve workplace productivity, reduce physical exertion, but ultimately result in a sedentary work style. Sedentary behavior is associated with an increased risk of stress, obesity, and other health complications. Let Me Relax is a fully automated sedentary-state recognition framework using a smartwatch and smartphone, which encourages mental wellness through interventions in the form of simple relaxation techniques. The system was evaluated through a comparative user study of 22 participants split into a test and a control group. An analysis of NASA Task Load Index pre- and post- study survey revealed that test subjects who followed relaxation methods, showed a trend of both increased activity as well as reduced mental stress. Reduced mental stress was found even in those test subjects that had increased inactivity. These results suggest that repeated interventions, driven by an intelligent activity recognition system, is an effective strategy for promoting healthy habits, which reduce stress, anxiety, and other health risks associated with sedentary workplaces.

Keywords
personal health assistant, sedentary state recognition, intervention techniques, relaxation, stress, anxiety, cognitive reappraisal, mental wellness, ubiquitous computing
Published
2015-12-22
Publisher
ACM
http://dx.doi.org/10.4108/eai.14-10-2015.2261900

Copyright © 2015 V. Rajanna et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.

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