Publication Type

Conference Proceeding Article

Version

acceptedVersion

Publication Date

3-2016

Abstract

Prolonged working hours are a primary cause of stress, work related injuries (e.g, RSIs), and work-life imbalance in employees at a workplace. As reported by some studies, taking timely breaks from continuous work not only reduces stress and exhaustion but also improves productivity, employee bonding, and camaraderie. Our goal is to build a system that automatically detects breaks thereby assisting in maintaining healthy work-break balance. In this paper, we focus on detecting foosball breaks of employees at a workplace using a smartwatch. We selected foosball as it is one of the most commonly played games at many workplaces in the United States. Since playing foosball involves wrist and hand movement, a wrist-worn device (e.g., a smartwatch), due to its position, has a clear advantage over a smartphone for detecting foosball activity. Our evaluation using data collected from real workplace shows that we can identify with more than 95% accuracy whether a person is playing foosball or not. We also show that we can determine how long a foosball session lasted with an error of less than 3% in the best case.

Keywords

Hand movement, Work life, Work-related Injuries, Working hours, Wearable computers

Discipline

Computer Sciences | Software Engineering

Research Areas

Software and Cyber-Physical Systems

Publication

2016 IEEE International Conference on Pervasive Computing and Communications Workshops: Sydney, March 14-18 March: Proceedings

First Page

7457165:1

Last Page

6

ISBN

9781509019410

Identifier

10.1109/PERCOMW.2016.7457165

Publisher

IEEE

City or Country

Piscataway, NJ

Copyright Owner and License

Authors

Additional URL

https://doi.org/10.1109/PERCOMW.2016.7457165

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