Wearable shear and normal force sensing glove development for real-time feedback on assembly line processes

Abstract

This research aims to develop a force sensing glove worn by workers in manual assembly to measure both shear and normal forces and motion data to evaluate the connections completed and provide real-time feedback to the operator. Many tasks in production assembly are still completed manually due to the intuition needed, complex automation steps, or time constraints. This is largely seen in automotive assembly environments which also creates a greater possibility for error because they consist of predominately human completed operations. These processes include hose and electrical connections which can loosen over time after passing initial quality testing, resulting in costly, time-consuming rework and a diminished brand image. Operator forces and motion data are selected for measurement to ensure processes are completed with the correct approach and ample forces applied while also verifying that all necessary tasks within the takt are completed. Multiple forms of measurement will assist with adapting to operator variability while offering operator accountability and process verification. It was found that operator forces and motion could successfully be captured and analyzed through the developed sensor glove and that the glove offers a robust, durable format that is adequately equipped for use on the physically demanding assembly line.