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Dynamic estimation of human energy expenditure with wearable sensors

Williams, Gareth 2017, Dynamic estimation of human energy expenditure with wearable sensors, PhD thesis, School of Engineering, Deakin University.

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Title Dynamic estimation of human energy expenditure with wearable sensors
Author Williams, Gareth
Institution Deakin University
School School of Engineering
Faculty Faculty of Science Engineering and Built Environment
Degree type Research doctorate
Degree name PhD
Thesis advisor Pubudu, PathiranaORCID iD for Pubudu, Pathirana orcid.org/0000-0001-8014-7798
Date submitted 2017-05
Keyword(s) human movement
exercise
energy metabolism
Electromyography
Summary  This study investigated energy expenditure estimation using inertial measurement units, electromyography and O2 Gas Mask sensors whilst undergoing motion. Further investigations included the precision measurement of IMUs in order to achieve extremely accurate energy estimation calculations using an experimental Dual-Kalman Filter and limb length estimation using entropy based methods .
Language eng
Field of Research 090302 Biomechanical Engineering
090609 Signal Processing
Socio Economic Objective 970110 Expanding Knowledge in Technology
Description of original 157 pages : illustrations
Copyright notice ┬ęThe Author. All Rights Reserved
Free to Read? Yes
Use Rights Creative Commons Attribution Share Alike licence
Persistent URL http://hdl.handle.net/10536/DRO/DU:30103527

Document type: Thesis
Collections: Higher degree theses (Open Access)
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Created: Thu, 19 Oct 2017, 11:05:21 EST by Asif, Yasmin

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.