As the level of automation on factory floor is allowing more collaborative robotics, making human presence as more interactive with smart machine systems, it is important to focus on occupational health and mental safety. The study will be designed to develop experiments in actual industrial setting where the subjective, behavioural and physiological measures are carried out, possibly having multiple process designs where subjects would be monitored over a long period. The acquired data will be used to develop key performance indicators (KPI) for different mental conditions and states. This will be associated with a development of a digital application/tool to quickly identify under stress workers in industrial setting by quantifying stress based on the data capture and processing. The device development for monitoring of worker mental health can provide early warning for stress related illnesses, thus allowing improvements in worker well-being and efficiency based on KPIs. It will become a comprehensive occupational safety package that will extend safety concept from physical to mental, psychological and emotional safety and anxiety reduction.
A stress management solution will be developed, where working for stress-reduction techniques and mental relaxation correlations are searched, as an effective way of risk mitigation. This will support in designing collaborative spaces and jobs, within the safety limit threshold. The work will support in the development of technology for mental safety in the industrial manufacturing systems and human resource development requirements in the context of industry 4.0.
Entry requirements
Entrants must have a working knowledge of machine learning, big data and artificial intelligence in addition to some experience of Android based applications development. Students having backgrounds in Electronics/Biomedical/Software Engineering/Bioinformatics or Computer Science will be suitable as a PhD candidate.
How to apply
The application deadline is Monday 28 February 2022.
For a step-by-step guide and to make an application, please visit NTU's how to apply page.
Fees and Funding
This is a fully-funded project.