Abstract
This paper focuses on the introduction of a low-cost, compatible measurement system for monitoring plantar pressure, which is suitable for today’s prevention of stress gait diseases. The gait analysis method is adopted and the technical specifications of the sensor array are determined. The analysis of measurement data based on deep learning method and neural network classification shows that it is possible to separate measurement between repeated patterns of health and disease. In order to realize the foot pressure sensor element, multi wall carbon nanotubes (MWTCNT) - polydimethylsiloxane (PDMS) - printed composite material was selected. In order to measure the plantar pressure distribution, a sensor matrix made of composite materials is completely printed and used in specific tests.
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