Abstract
Rehabilitation has proven effective to significantly reduce fall risk in seniors; however, low adherence to home rehabilitation and a lack of feedback on performance and progress indicate that seniors might not receive the amount of therapy necessary to reduce their risk of falling. We present a tailored exergame system for the home (called Recov-R) to motivate seniors to exercise and facilitate effective recovery by promoting optimal quality of movement during exercise. Based on an 8-week field study, with 38 participants, we present results on the use of the Recov-R system, versus standard care, in the home. Our findings suggest that the use of the system can increase adherence to exercise and reduce fall risk by improving outcomes of physical function – mobility and balance. We also highlight opportunities, based on these results, for the design of effective exergame technologies for musculoskeletal rehabilitation in the home.
Original language | English |
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Article number | 23 |
Journal | ACM Transactions on Computer-Human Interaction |
Volume | 26 |
Issue number | 4 |
Early online date | 27 Jul 2019 |
DOIs | |
Publication status | Published - Jul 2019 |
Keywords
- Balance
- Exergames
- Falls
- Home study
- Quality of movement
- Rehabilitation
- Strength therapy
- Tailored games
ASJC Scopus subject areas
- Human-Computer Interaction
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Lynne Baillie
- School of Mathematical & Computer Sciences - Professor
- School of Mathematical & Computer Sciences, Computer Science - Professor
Person: Academic (Research & Teaching)