posted on 2024-07-13, 10:59authored byKrutika Shahabadkar
The Australian Bureau of Statistics reported 2.8% work-related fatalities per 100,000 workers in 2022, with over 623,663 Musculoskeletal Disorders (MSDs) claims between 2008 and 2022. Such claims costed over A$28.6 billion annually, impacting 1.6% of the Australian gross domestic product . The prevailing challenge in addressing MSDs was the absence of real-time posture prediction capabilities. This research develops a novel real-time closed-loop Posture Prediction Framework (PPF) aimed at mitigating MSDs among industry operators for real-time prediction and mitigation capabilities. This was achieved through integration, data acquired by sensors, mathematical models and appropriation through artificial intelligence for feedback/alert systems. The real world benchmarking was demonstrated in rolling stock manufacturing, established worker safety, offering substantial socio-economic benefits by ensuring the health and well-being of individuals.
History
Thesis type
Thesis (PhD)
Thesis note
Thesis submitted for the Degree of Doctor of Philosophy, Swinburne University of Technology, 2024.