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ABSTRACT
This thesis aims to model office chairs for University of Benin lecturers by studying their body measurements and preferences. It starts with collecting data on lecturers' body sizes and shapes. Using simple statistics, the study looks at how these measurements vary and what's typical for lecturers. Then, it uses a method called Principal Component Analysis (PCA) to find patterns in the data, helping to understand which body measurements are most important for chair comfort. Additionally, the study examines how different body measurements relate to each other and to what lecturers find comfortable in chairs. This correlation analysis helps identify which aspects of chair design are crucial for reducing discomfort and strain. Combining data analysis insights and advanced design techniques, this research aims to make chairs that improve lecturers' comfort and well-being.
