Bodily kinesthetic intelligence (BKI) based on plantar insole sensor signal

Abstract

This paper presents a framework that integrates Goal-Oriented Bodily Kinesthetic Intelligence (BKI) with disease-oriented walking feature mining using plantar insole sensor signals. By combining BKI’s adaptive motor-control mechanisms with a Neurological Disease Detection Feature Mining Method (NDFMM), the system extracts interpretable gait features and links them to decision rules and multi-modal data visualization. The framework provides actionable information for gait adaptation and neurological disease monitoring.