Design and development of IoT-based wearable smart Exo-Vest for analysis of upper limb dynamics

Abstract

This article describes the principles of design and development of an IoT- based wearable smart Exo-Vest (SWEV), which is used for monitoring upper limb exercises. Sensor positions, connectivity of electronic circuits, data collections along with development of real-time integrated Web-App for remote monitoring are performed. Data collected from different actors are analyzed, compared with a professional EMG recorder (RMS EMG EpMK2) and it is found that the comparative performance of our model of Exo-Vest is nearly similar to the standard EMG module. These findings highlight ExoVest's potential for real-time upper limb muscle activity monitoring, offering cost-effective muscle health management in various work environments.