The multifunctional sensing that enhance static and dynamic performance have emerged as a hot research topic. This study proposes an integrated approach to achieve multifunctional sensing capabilities in IPMC sensors. The ionic signal is utilised for capturing dynamic information, while the resistance signal for gather static signal. By integrating the ionic and resistive signals of IPMC sensors, we conduct the detection of displacement and velocity. Experimental findings show success in realising both dynamic and static signal sensing functions. Furthermore, by employing data fusion technology, we combined the estimated displacement from the resistance signal with the velocity from the ion signal. The results indicate that the absolute error can be reduced by up to 56% through the predictive angle obtained after data fusion. This combined method significantly expands the sensing ability and range of IPMC sensors, showcasing their potential for diverse applications in sensing technology.
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