The overall aim of this research project is to investigate and develop methodologies with machine learning (ML) approach for designing a low-cost, reliable and optimal ergonomic office chair which is capable of assuming a large range of supported postures while accommodating many sizes and shapes, as well as to evaluate the effect of several impact factors such as function, structure and materials of the office chair on sitting behaviour analysis. The long term goal of this project is to develop a monitoring system for both static and dynamic sitting postures with an interactive ergonomic chair.
|Effective start/end date||2/05/22 → 31/07/23|
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