Lotfi, A. ORCID: 0000-0002-5139-6565, Langensiepen, C. ORCID: 0000-0002-0165-9048 and Yahaya, S.W., 2018. Socially assistive robotics: robot exercise trainer for older adults. Technologies, 6 (1): 32. ISSN 2227-7080
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Abstract
Physical activities have tremendous benefit to older adults. A report from the World Health Organization has mentioned that lack of physical activity contributed to around 3.2 million premature deaths annually worldwide. Research also shows that regular exercise helps the older adults by improving their physical fitness, immune system, sleep and stress levels, not to mention the countless health problems it reduces such as diabetes, cardiovascular disease, dementia, obesity, joint pains, etc. The research reported in this paper is introducing a Socially Assistive Robot (SAR) that will engage, coach, assess and motivate the older adults in physical exercises that are recommended by the National Health Services (NHS) in the UK. With the rise in the population of older adults, which is expected to triple by 2050, this SAR will aim to improve the quality of life for a significant proportion of the population. To assess the proposed robot exercise trainer, user’s observational evaluation with 17 participants is conducted. Participants are generally happy with the proposed platform as a mean of encouraging them to do regular exercise correctly.
Item Type: | Journal article | ||||
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Publication Title: | Technologies | ||||
Creators: | Lotfi, A., Langensiepen, C. and Yahaya, S.W. | ||||
Publisher: | MDPI | ||||
Date: | 10 March 2018 | ||||
Volume: | 6 | ||||
Number: | 1 | ||||
ISSN: | 2227-7080 | ||||
Identifiers: |
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Rights: | © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. | ||||
Divisions: | Schools > School of Science and Technology | ||||
Record created by: | Jonathan Gallacher | ||||
Date Added: | 13 Mar 2018 12:56 | ||||
Last Modified: | 13 Mar 2018 12:56 | ||||
URI: | https://irep.ntu.ac.uk/id/eprint/32937 |
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