Activity Recognition in Individuals Walking With Assistive Devices: The Benefits of Device-Specific Models

摘要

BackgroundWearable sensors gather data that machine-learning models can convert into an identification of physical activities, a clinically relevant outcome measure. However, when individuals with disabilities upgrade to a new walking assistive device, their gait patterns can change, which could affect the accuracy of activity recognition.