An efficient algorithm for kinematics estimation with application to dynamic gait stability using a contact-less skeleton tracking system
- This paper presents an optimized algorithm for estimating static and dynamic gait parameters. We use a marker- and contact-less motion capture system that identifies 20 joints of a person walking along a corridor. Based on the proposed gait cycle detection basic metrics as walking frequency, step/stride length, and support phases are estimated automatically. Applying a rigid body model, we are capable to calculate static and dynamic gait stability metrics. We conclude with initial results of a clinical study evaluating orthopaedic technical support.
Author: | Michael UelschenORCiD, Heinz-Josef Eikerling |
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Title (English): | An efficient algorithm for kinematics estimation with application to dynamic gait stability using a contact-less skeleton tracking system |
URN: | urn:nbn:de:bsz:959-opus-15821 |
Parent Title (English): | Proceedings BIODEVICES 2020 – 13th International Conference on Biomedical Electronics and Devices |
Publisher: | SCITEPRESS |
Place of publication: | Setúbal, Portugal |
Document Type: | Conference Proceeding |
Language: | English |
Year of Completion: | 2020 |
Release Date: | 2020/03/23 |
Tag: | Orthopaedic Technical Support Gait Analysis; Kinematics Estimation; Marker-less Skeleton Tracking |
Note: | 13th International Conference on Biomedical Electronics and Devices, February 24 - 26, 2020 Valletta, Malta |
Faculties: | Fakultät IuI |
DDC classes: | 000 Allgemeines, Informatik, Informationswissenschaft / 004 Informatik |
Review Status: | Akzeptierte Fassung |