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vibration characteristic identification. This project will investigate digital twins techniques aided by computer vision based measurement. Aims This project develops computer vision-assisted digital twin
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fall detection would be from video as it does not require wearing a device and remembering to charge it and so on. But computer vision-based falls detection in the elderly can be problematic due
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the Digital Systems and Intelligent Sensors group (DSIS). within the School of Electrical Engineering, Computing and Mathematical Sciences. DSIS endeavours to utilise technology to assist people with
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assist in solving a real-world problem that is limiting the optimisation of their player preparation practices. This research will also address a significant gap in the current understanding of how