Smartphone Based Personalized Balance Training Platform

Abstract

Older adults are at high risk of falls, mainly due to the loss of balance control. It is important for them to regain balance control through balance training exercises for quality living. These exercises are conventionally done in a clinic-based setting under the supervision of a physical therapist (PT). However, this method comes with limitations such as cost, insurance reimbursement policies, and travel. Thus, there is a need for a portable balance training platform that can be used by older adults at home. Our team is developing a platform as such that can not only provide balance training to our users but can also measure kinematic data from multiple body parts and capture self-performance ratings after exercises are performed - these data are uploaded to a secure cloud account. The platform can also support a machine learning framework that generates a list of recommended exercises and simulated PT ratings for the users based on their performance during the balance training exercise sessions.