A Low Cost IoT Prototype To Evaluate Sit-To-Stand Exercises For Older Adults

Joshua Tucker


Supervised by Dr Katarzyna Stawarz; Moderated by Hantao Liu

Maintaining an active lifestyle is key to sustained health in older adults, and current technologies such as the Mircosoft Kinect are often too expensive and complex for many older adults to integrate into their daily lives.

This project implements an internet-of-things prototype tailored towards strength exercises for older adults, using a computer vision approach in order to evaluate sit-to-stand exercise, that is lower in cost, and oriented specifically towards older adults.

The prototype is evaluated through a usability study, in which 5 participants test the functionality of the prototype and provide feedback in the form of a usability questionnaire and post study interview.

with an average system usability score of 80 out of 100, results show that the prototype is able to maintain usability and functionality despite the lower costs through the use of more up to date computer vision techniques with less demanding hardware requirements.

Initial Plan (07/02/2021) [Zip Archive]

Final Report (14/05/2021) [Zip Archive]

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