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Cerebral palsy motion analysis using a wearable activity tracking device and humanoid robot

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posted on 12.04.2022, 01:55 by Nicholas CooneyNicholas Cooney

Wearable devices for human activity tracking are becoming a commonly used infotainment gadget in daily life. Many commercial devices have emerged for human health and wellness assessment, such as daily physical activity monitoring through step counting or exercise tracking. The popularity of wearables has improved drastically with developments in internet of things (IoT) technologies and the ability to analyse data with cloud-computing. However, wearables have not been fully utilized in the physical activity tracking of disabled people. This is primarily due to the ethical requirements and restrictions imposed when acquiring data from this cohort. In this study, we show that humanoid robots have the potential to be used as a model for the movement and physical activity analysis of disabled people. This will aid in the development of wearable devices capable of providing services to disabled people.

History

Table of Contents

1. Introduction -- 2. Background and Literature Review -- 3. Methodology -- 4. Results and Discussion -- 5. Conclusions and Future Work -- Abbreviations -- Bibliography

Notes

October 25, 2019

Awarding Institution

Macquarie University

Degree Type

Thesis masters research

Degree

Thesis (MRes), Macquarie University, School of Engineering, 2019

Department, Centre or School

School of Engineering

Year of Award

2019

Principal Supervisor

Atul Singh Minhas

Rights

https://www.mq.edu.au/copyright-disclaimer Copyright Nicholas J. Cooney 2021.

Language

English

Extent

1 online resource (xiv, 52 pages)