Feasibility of Sensor Technology for Balance Assessment in Home Rehabilitation Settings

Daniel Kelly, Karla Munoz Esquivel, James Gillespie, Joan Condell, RJ Davies, Shvan Karim, Elina Nevala, Antti Alamäki, Juha Jalovaara, Salvatore Tedesco, John Barton, Anna Nordström

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)
60 Downloads (Pure)


The increased use of sensor technology has been crucial in releasing the potential for remote rehabilitation. However, it is vital that human factors, that have potential to affect real-world use, are fully considered before sensors are adopted into remote rehabilitation practice. The smart sensor devices for rehabilitation and connected health (SENDoc) project assesses the human factors associated with sensors for remote rehabilitation of elders in the Northern Periphery of Europe. This article conducts a literature review of human factors and puts forward an objective scoring system to evaluate the feasibility of balance assessment technology for adaption into remote rehabilitation settings. The main factors that must be considered are: Deployment constraints, usability, comfort and accuracy. This article shows that improving accuracy, reliability and validity is the main goal of research focusing on developing novel balance assessment technology. However, other aspects of usability related to human factors such as practicality, comfort and ease of use need further consideration by researchers to help advance the technology to a state where it can be applied in remote rehabilitation settings.
Original languageEnglish
Article number4438
Number of pages29
Issue number13
Early online date28 Jun 2021
Publication statusPublished online - 28 Jun 2021

Bibliographical note

Funding Information:
Funding: This research was funded by Northern Periphery and Arctic Programme 2014–2020 grant number 95.

Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.


  • Accuracy
  • Balance
  • Clinical diagnosis
  • Rehabilitation
  • Remote sensing
  • Sensor Systems
  • Wearable sensors
  • Sensor systems


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