Fall Detection and Activity Monitoring using a Wearable Wrist Device

The aim of this project is to develop a wrist based fall detection and activity monitoring device for older adults. This device will be used to reliably and automatically detect falls and alert the health care providers so that immediate help can be dispatched and made available to fallers. In addition to detecting falls, this device will also be used to monitor and track activities of daily living (ADLs) in the target population to perform fall risk assessment, which could assist clinicians in evaluating balance and developing strategies to prevent future falls. My expertise in wearable inertial sensors combined with the R&D goals of the supporting company will contribute towards developing state of the art technology for the aging population. I am confident that with the competitive edge gained with this collaboration, we will be able to deliver our target product in the next 12 to 24 months.

Faculty Supervisor:

Edward Park

Student:

Omar Aziz

Partner:

Bigmotion Technologies Inc.

Discipline:

Engineering - mechanical

Sector:

Life sciences

University:

Simon Fraser University