Authors:
Katja Orlowski
and
Harald Loose
Affiliation:
Brandenburg University of Applied Sciences, Germany
Keyword(s):
Motion and Gait Analysis, KINECT and SHIMMER Sensors, Low-cost Sensors, Health Applications.
Related
Ontology
Subjects/Areas/Topics:
Applications and Services
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Computer Vision, Visualization and Computer Graphics
;
Devices
;
Health Information Systems
;
Human-Computer Interaction
;
Medical Image Detection, Acquisition, Analysis and Processing
;
Physiological Computing Systems
;
Wearable Sensors and Systems
Abstract:
Detecting gait parameters is possible using various sensors based on different physical principles. In our investigation a visual system, the Microsoft KINECT, and an inertial sensor system with SHIMMER 9DoFsensors, are used for capturing the gait of various persons. Both systems have a small form factor and are affordable regarding cost. Hence these are well-suited for mobile applications in the health care environment. Using these low-cost sensor systems, motion capture and analysis can be done in hospitals, physiotherapy units or nursing homes. This paper focusses on the comparison of detected gait parameters by analyzing statistical parameters. The examination of accuracy of both systems is carried out in two steps; first by initially measuring the gait of a small group of volunteers and second of a larger group. The noise is also examined which has to be filtered out in the preprocessing procedure. The choice of filter impacts the detection of gait parameters. As a result the no
ise is characterized rather nonspecifically in both systems. As expected, the gait parameters determined by the systems are not identical, but similar. The deviations vary in the specific gait parameters; some are less error-prone than other.
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