DocumentCode :
2978555
Title :
Comparison of vision-based and sensor-based systems for joint angle gait analysis
Author :
Kyrarini, Maria ; Xingchen Wang ; Graser, Axel
Author_Institution :
Inst. of Autom., Univ. of Bremen, Bremen, Germany
fYear :
2015
fDate :
7-9 May 2015
Firstpage :
375
Lastpage :
379
Abstract :
Gait analysis has become recently a popular research field and been widely applied to clinical diagnosis of neurodegenerative diseases. Various low-cost sensor-based and vision-based systems are developed for capturing the hip and knee joint angles. However, the performances of these systems have not been validated and compared between each other. The purpose of this study is to set up an experiment and compare the performances of a sensor-based system with multiple inertial measurement units (IMUs), a vision-based gait analysis system with marker detection, and a markerless vision-based system on capturing the hip and knee joint angles during normal walking. The obtained measurements were validated with the data acquired from goniometers as ground truth measurement. The results indicate that the IMUs-based sensor system gives excellent performance with small errors, while vision systems produce acceptable results with slightly larger errors.
Keywords :
biomedical engineering; diseases; gait analysis; goniometers; IMU-based sensor system; clinical diagnosis; goniometer; hip angle; joint angle gait analysis; knee joint angle; marker detection; markerless vision-based system; multiple inertial measurement unit; neurodegenerative disease; sensor-based system; vision-based gait analysis system; walking; Accuracy; Cameras; Goniometers; Hip; Joints; Knee; Legged locomotion; gait analysis; goniometer; inertial measurement unit; joint angles; vision;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Medical Measurements and Applications (MeMeA), 2015 IEEE International Symposium on
Conference_Location :
Turin
Type :
conf
DOI :
10.1109/MeMeA.2015.7145231
Filename :
7145231
Link To Document :
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