• search hit 1 of 1
Back to Result List

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.

Download full text files

Export metadata

Additional Services

Share in Twitter Search Google Scholar
Metadaten
Author:Michael UelschenORCiD, Heinz-Josef Eikerling
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