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.