Activity Monitoring and Fall Detection Using Smart Phones in Individuals With Neurological Problems

This study focused on comparing three different leg braces that assist people with neurological disabilities namely micro-processor controlled knee-ankle-foot orthosis (C-Brace), stance-control knee- ankle-foot orthosis (SCO), and conventional knee-ankle-foot orthosis (KAFO). Each participant in the study wore accelerometer sensors along with a brace and was asked to perform activities of daily living (sitting, standing, climbing stairs, etc.) and simulated falls (in healthy participants and amputees) in a lab setting and at home. The data from the accelerometer sensors will be used to implement activity recognition using a smart phone (app in production) that has similar sensors. This application is useful in mining information related to a patient\u27s community mobility and interactions to create specific rehabilitation plans