A unified platform for outcome measures and exergames with 3D accelerometry
- Published
- Accepted
- Subject Areas
- Bioengineering, Bioinformatics, Computational Science
- Keywords
- mobile accelerometry, exercise therapy, actibelt, exergames
- Copyright
- © 2015 Nuritdinow et al.
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ PrePrints) and either DOI or URL of the article must be cited.
- Cite this article
- 2015. A unified platform for outcome measures and exergames with 3D accelerometry. PeerJ PrePrints 3:e929v1 https://doi.org/10.7287/peerj.preprints.929v1
Abstract
Mobile accelerometry is more and more being used in clinical trials as a tool to measure outcomes related to physical activity. However, it is still difficult to integrate exercise therapy in controlled clinical trials. We want to explore the option to use a unified platform to both measure outcome and prescribe and monitor exercise therapy using the actibelt technology platform. We present a prototype based on the actibelt platform that allows to use the wearable device as a mouse controller for a large set of potentially interesting games. Playing an exergame a person is encouraged to increase its level of daily motion while engaging in an activity that is perceived as interesting and fun, thus, providing an intrinsic motivation. Studies suggest that exergaming can be compared to light or moderate physical activity considering the heart rate, oxygen consumption and energy expenditure.
Author Comment
Mobile accelerometry is a promising tool to measure physical activity both in its role as outcome and treatment. Technologically it seems to be possible to seamlessly integrate exercise games in large scale clinical trials, but logistics, data management and regulatory topics will need to be clarified. This preprint is part of the PeerJ “Human Motion Project” collection (The 2nd Winter Symposium of the Human Motion Project).