Title:

Plantar pressure- based stride length and walking speed estimation

Gait analysis is crucial across various fields, yet traditional methods often struggle outside controlled environments. Smart Insoles, measuring Ground Reaction Forces (GRF), offer a promising avenue for real-world gait assessment. This study focuses solely on comparing stride length data obtained from Smart Insoles with that processed using MATLAB normalization and Convolutional Neural Network (CNN) analysis. Emphasizing accuracy, consistency, and feasibility in everyday settings, our comprehensive analysis aims to validate Smart Insoles' efficacy and foster their integration into daily life, augmenting gait analysis and its applications.

Name

Comment*

Comments are viewable only by submitter

Captcha*