This paper aims to explore the thermal feelings of different cover materials effect on wheelchair cushion comfortableness, and to build a mathematical model for motorized wheelchair cushion comfortableness. By measuring temperature and humidity between the contact face of motorized wheelchair cushion and human body as well as the setting posture adjustment time while cushion cover materials are nylon cloth, leather, fishnets cloth. At the same time, each volunteer took a questionnaire about the comfort of different cushion cover materials. Results showed that fishnets cloth was most comfortable, leather was worst, while nylon cloth was in between the two. The experimental objective data were consistent with the subjective data. We built a back propagation (BP) neural network mathematical model for motorized wheelchair cushion comfortableness. This study will provide objective reference to motorized wheelchair for the designers and users.
