Design of an experimental platform of gait analysis with ActiSense and StereoPi

  • Gait analysis is a systematic study of human movement. Combining wearable foot pressure sensors and machine learning (ML) solutions for a high-fidelity body pose tracking from RGB video frames could reveal more insights into gait abnormalities. However, accurate detection of heel strike (HS) and toe-off (TO) events is crucial to compute interpretable gait parameters. In this work, we present an experimental platform to study the timing of gait events using a new wearable foot pressure sensor (ActiSense System, IEE S.A., Luxembourg), and Google’s open-source ML solution MediaPipe Pose. For this purpose, two StereoPi systems were built to capture stereoscopic videos and images in real time. MediaPipe Pose was applied to the synchronized StereoPi cameras, and two algorithms (ALs) were developed to detect HS and TO events for gait and analysis. Preliminary results from a healthy subject walking on a treadmill show a mean relative deviation across all time spans of less than 4% for the ActiSense device and less than 16% for AL2 (33% for AL1) employing MediaPipe Pose on StereoPi videos. Finally, this work offers a platform for the development of sensor- and video-based ALs to automatically identify the timing of gait events in healthy individuals and those with gait disorders.

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Author:Alexandra Leer, Beatriz Garcia Santa Cruz, Frank Hertel, Klaus P. Koch, Rene Peter Bremm
URN:urn:nbn:de:hbz:tr5-1511
DOI:https://doi.org/10.1515/cdbme-2022-1146
Parent Title (English):Current Directions in Biomedical Engineering
Publisher:De Gruyter
Document Type:Article
Language:English
Date of OPUS upload:2022/09/27
Date of first Publication:2022/09/02
Publishing University:Hochschule Trier
Release Date:2022/09/27
Tag:computer vision; foot pressure sensors; human gait; pose estimation; risk of falls; stereoscopic cameras
GND Keyword:Gehen; Ganganalyse; Pedografie; Maschinelles Sehen; Stereokamera
Volume:8
Issue:2
Page Number:4
First Page:572
Last Page:575
Departments:FB Technik
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 60 Technik
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International