Would a thermal sensor improve arm motion classification accuracy of a single wrist-mounted inertial device?

ABSTRACT:

Background

Inertial Measurement Unit (IMU)-based wearable sensors have found common use to track arm activity in daily life. However, classifying a high number of arm motions with single IMU-based systems still remains a challenging task. This paper explores the possibility to increase the classification accuracy of these systems by incorporating a thermal sensor. Increasing the number of arm motions that can be classified is relevant to increasing applicability of single-device wearable systems for a variety of applications, including activity monitoring for athletes, gesture control for video games, and motion classification for physical rehabilitation patients. This study explores whether a thermal sensor can increase the classification accuracy of a single-device motion classif

SUBMITTER: Lui J 

PROVIDER: S-EPMC6505300 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature