Proud, Jasmine K
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Proud, Jasmine K ORCID: 0000-0002-6969-8377, Garofolini, Alessandro
ORCID: 0000-0002-1789-2362, Mudie, Kurt
ORCID: 0000-0001-9328-4759, Lai, Daniel
ORCID: 0000-0003-3459-7709 and Begg, Rezaul
ORCID: 0000-0002-3195-8591
(2024)
The highs and lows of lifting loads: SPM analysis of multi-segmental spine angles in healthy adults during manual handling with increased load.
Frontiers in Bioengineering and Biotechnology, 12.
ISSN 2296-4185
Proud, Jasmine K ORCID: 0000-0002-6969-8377, Lai, Tze Huel
ORCID: 0000-0003-3459-7709, Mudie, Kurt
ORCID: 0000-0001-9328-4759, Carstairs, Greg, Billing, Daniel C, Garofolini, Alessandro
ORCID: 0000-0002-1789-2362 and Begg, Rezaul
ORCID: 0000-0002-3195-8591
(2020)
Exoskeleton Application to Military Manual Handling Tasks.
Human Factors.
ISSN 0018-7208
Book Section
Zaroug, Abdelrahman, Proud, Jasmine K ORCID: 0000-0002-6969-8377, Lai, Daniel
ORCID: 0000-0003-3459-7709, Mudie, Kurt
ORCID: 0000-0001-9328-4759, Billing, Daniel C and Begg, Rezaul
ORCID: 0000-0002-3195-8591
(2018)
Overview of Computational Intelligence (CI) Techniques for Powered Exoskeletons.
In:
Computational Intelligence in Sensor Networks.
Mishra, BB, Dehuri, S, Panigrahi, BK, Nayak, AK, Mishra, BSP and Das, H, eds.
Studies in Computational Intelligence, 776
.
Springer, Berlin, Germany, pp. 353-383.
Thesis
Proud, Jasmine K ORCID: 0000-0002-6969-8377
(2022)
Know your limits. Predicting lift capacity using time series spine kinematics for a military manual handling task.
PhD thesis, Victoria University.