Now showing items 1-2 of 2

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

      Hao, L. (БНТУ, 2025)
      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 ...
      2026-01-23
    • Nonparametric walking model based on relationship between plantar insole sensor signal time-spatial features 

      Hao, L. (БНТУ, 2025)
      This work contrasts traditional parametric walking models, which handle simple gait well but fail on nonlinear or disease-affected patterns, with a Non-Parametric Walking Model (NPWM) built from plantar insole time–spatial features. The Neurological Disease Detection Feature Mining Method (NDFMM) identifies goal-oriented walking patterns through sorted-metrics–based selection. ...
      2026-01-23