Recov-R: Evaluation of a Home-Based Tailored Exergame System to Reduce Fall risk in Seniors

Stephen Uzor, Lynne Baillie

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)
143 Downloads (Pure)


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 languageEnglish
Article number23
JournalACM Transactions on Computer-Human Interaction
Issue number4
Early online date27 Jul 2019
Publication statusPublished - Jul 2019


  • Balance
  • Exergames
  • Falls
  • Home study
  • Quality of movement
  • Rehabilitation
  • Strength therapy
  • Tailored games

ASJC Scopus subject areas

  • Human-Computer Interaction


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