Print Email Facebook Twitter Wearable Sensor-Based Real-Time Gait Detection Title Wearable Sensor-Based Real-Time Gait Detection: A Systematic Review Author Prasanth, H. (Student TU Delft; ONWARD) Caban, Miroslav (Swiss Federal Institute of Technology; ONWARD) Keller, Urs (ONWARD) Courtine, Grégoire (Swiss Federal Institute of Technology; University Hospital of Vaud (CHUV); University of Lausanne) Ijspeert, Auke J. (Swiss Federal Institute of Technology) Vallery, H. (TU Delft Biomechatronics & Human-Machine Control; Erasmus MC) Von Zitzewitz, Joachim (ONWARD) Date 2021 Abstract Gait analysis has traditionally been carried out in a laboratory environment using expensive equipment, but, recently, reliable, affordable, and wearable sensors have enabled integration into clinical applications as well as use during activities of daily living. Real-time gait analysis is key to the development of gait rehabilitation techniques and assistive devices such as neuroprostheses. This article presents a systematic review of wearable sensors and techniques used in real-time gait analysis, and their application to pathological gait. From four major scientific databases, we identified 1262 articles of which 113 were analyzed in full-text. We found that heel strike and toe off are the most sought-after gait events. Inertial measurement units (IMU) are the most widely used wearable sensors and the shank and foot are the preferred placements. Insole pressure sensors are the most common sensors for ground-truth validation for IMU-based gait detection. Rule-based techniques relying on threshold or peak detection are the most widely used gait detection method. The heterogeneity of evaluation criteria prevented quantitative performance comparison of all methods. Although most studies predicted that the proposed methods would work on pathological gait, less than one third were validated on such data. Clinical applications of gait detection algorithms were considered, and we recommend a combination of IMU and rule-based methods as an optimal solution Subject wearable sensorreal-time gait detectiongait analysisinsole pressure sensorsinertial measurement unitpathological gaitgait rehabilitationassistive device To reference this document use: http://resolver.tudelft.nl/uuid:f0d9c9b8-da0a-45b0-b1bb-87203656d614 DOI 10.3390/s2108272 ISSN 1424-8220 Source Sensors, 21 (8) Part of collection Institutional Repository Document type journal article Rights © 2021 H. Prasanth, Miroslav Caban, Urs Keller, Grégoire Courtine, Auke J. Ijspeert, H. Vallery, Joachim Von Zitzewitz Files PDF sensors_21_02727.pdf 2.54 MB Close viewer /islandora/object/uuid:f0d9c9b8-da0a-45b0-b1bb-87203656d614/datastream/OBJ/view