Abstract
This paper concerns the development of a computer-aided platform to analyze workers’ postures and movements and ergonomically validate the design of device a man or woman may deal with. In particular, we refer to pick and place operations of food items on the display unit shelves. The paper describes three low-cost solutions that integrate two optical motion capture techniques (one based on web-cam and another on MS Kinect sensor) and two human modeling systems (Jack and LifeMod) with the main goal of determining the suitability of operators’ working conditions and, eventually, providing a feedback to the design step. The solutions have been tested considering a vertical display unit as case study. Preliminary results of the experimentation as well as main benefits and limits are presented. The results have been considered promising; however, we have planned to perform an acquisition campaign in the real environment, the supermarket.
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Colombo, G., Regazzoni, D., Rizzi, C., De Vecchi, G. (2013). Preliminary Analysis of Low-Cost Motion Capture Techniques to Support Virtual Ergonomics. In: Chakrabarti, A., Prakash, R. (eds) ICoRD'13. Lecture Notes in Mechanical Engineering. Springer, India. https://doi.org/10.1007/978-81-322-1050-4_34
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DOI: https://doi.org/10.1007/978-81-322-1050-4_34
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