Open AccessFunctional shoe for the detection of walking pattern anomalies
Author(s) -
Benny Malengier,
Granch Berhe Tseghai,
Maria-Cristina Ciocci,
Desalegn Alemu Mengistie,
Lieva Van Langenhove
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/827/1/012002
Subject(s) - computer science , trace (psycholinguistics) , resistive touchscreen , work (physics) , pressure sensor , artificial intelligence , computer vision , simulation , engineering , mechanical engineering , philosophy , linguistics
Analysis of walking patterns can play an important role in the diagnosis of musculoskeletal disorder and detecting anomalies in walking gaits. In this work, we introduce a systematic approach to detect person’s walking patterns. A flexible resistive pressure sensor, developed from electro-conductive textile fabric, is non-intrusively integrated in an ordinary shoe together with a time of flight height sensor. The constructed shoe detects both the pressure between shoe and foot and the gap between shoe and ground. The combination of those give a trace of the walking pattern. The shoe should be functional in detecting walking pattern anomalies.