Analysis and Modelling of Body Movements Using Wearable Sensors: towards personalised chronic musculoskeletal pain management

Nowadays, out-of-hospital monitoring of activities of daily living is one of the most widely used telehealth applications. This research proposed a novel out-of-hospital body movement analytical framework, which was designed to detect the low-level body movements that form high-level daily activities and analyse their physiological parameters such as speed or intensity by using sensory data. The proposed deep learning algorithm allows extracting personalised information of the low-level body movements to describe how different individual performs the same high-level daily activity differently.