Proud, Jasmine K

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Number of items: 3.

Article

Proud, Jasmine K ORCID: 0000-0002-6969-8377, Lai, Tze Huel ORCID: 0000-0003-3459-7709, Mudie, Kurt ORCID: 0000-0001-9328-4759, Carstairs, GL, 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.