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Armbeta

Authors :
Bernd Ploderer
Lok Sum Lo
Dimitri Perrin
James Galloway
Source :
OZCHI
Publication Year :
2017
Publisher :
ACM, 2017.

Abstract

The aim of this research is to create a simple wearable technology for people engaged in upper limb rehabilitation to track how much they move their arm as well as the activities that the arm is engaged in. This paper describes the design of the `ArmBeta' prototype, which is based on the Microsoft Band 2 device and a mobile app. A lab-based trial study of ArmBeta with four healthy adults showed the accuracy for recognising reach-and-retrieve tasks was 78%, but the accuracy for other tasks (opening doors, eating, stirring a pot) was below 50%. A consecutive two-hour trial in daily life showed that the information generated was easy to understand but that the accuracy and accessibility need to be improved. We discuss the trade-offs between accessibility, accuracy, and the significance of information generated to track arm movement. The paper closes with considerations for future work to refine the system and to engage with patients and clinicians involved in rehabilitation.

Details

Database :
OpenAIRE
Journal :
Proceedings of the 29th Australian Conference on Computer-Human Interaction
Accession number :
edsair.doi.dedup.....ff1fd3f219cb889debf7effb628cfca7
Full Text :
https://doi.org/10.1145/3152771.3156136