Study on prevention of symptoms based on plantar pressure array typesensor composite system

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