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Embargoed and Restricted Access

Reason: Under embargo until April 2022. After this date a copy can be supplied under Section 51(2) of the Australian Copyright Act 1968 by submitting a document delivery request through your library

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

thesis
posted on 2021-04-19, 23:02 authored by YUXIN ZHANG
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.

History

Campus location

Australia

Principal supervisor

Frada Burstein

Additional supervisor 1

Pari Delir Haghighi

Year of Award

2021

Department, School or Centre

Caulfield School of IT

Course

Doctor of Philosophy

Degree Type

DOCTORATE

Faculty

Faculty of Information Technology