Duffy, Paul and Smeaton, Alan F. ORCID: 0000-0003-1028-8389 (2013) Measuring the effectiveness of user interventions in improving the seated posture of computer users. In: WISHWell’13 - 5th International Workshop on Intelligent Environments Supporting Healthcare and Well-being, 3 Dec 2013, Dublin, Ireland.
Abstract
Extended periods of time sitting in front of a computer give rise to risks of developing musculoskeletal disorders. In the workplace, computer use contributes considerably to employee injury and results in significant costs to the employer in terms of sick leave and injury claims. Due to these risks there has been significant research into the areas of posture classification and subject intervention to improve posture in an office environment. The Kinect has been shown to be a suitable hardware platform for posture classification. This paper presents a system for posture classification and novel subject intervention that leverages each of three distinct forms of persuasive computing and explores the success of each type. Our results show significant improvement in posture results from the most effective of our intervention types.
Metadata
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Event Type: | Workshop |
Refereed: | Yes |
Uncontrolled Keywords: | Posture; Ergonomics |
Subjects: | Computer Science > Interactive computer systems Computer Science > Computer software |
DCU Faculties and Centres: | Research Initiatives and Centres > INSIGHT Centre for Data Analytics DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing |
Published in: | Evolving Ambient Intelligence. Communications in Computer and Information Science 413. Springer. |
Publisher: | Springer |
Official URL: | http://link.springer.com/chapter/10.1007/978-3-319... |
Copyright Information: | © 2012 Springer-Verlag The original publication is available at www.springerlink.com |
Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License |
Funders: | Science Foundation Ireland |
ID Code: | 19537 |
Deposited On: | 04 Dec 2013 15:01 by Alan Smeaton . Last Modified 31 Oct 2018 12:39 |
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