A dataset of optical camera and IMU sensor derived kinematics of thirty transtibial prosthesis wearers
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Issued Date
2024-12-01
Resource Type
eISSN
20524463
Scopus ID
2-s2.0-85202049011
Journal Title
Scientific Data
Volume
11
Issue
1
Rights Holder(s)
SCOPUS
Bibliographic Citation
Scientific Data Vol.11 No.1 (2024)
Suggested Citation
Samala M., Rattanakoch J., Guerra G., Tharawadeepimuk K., Nanbancha A., Niamsang W., Kerdsomnuek P., Suwanmana S., Limroongreungrat W. A dataset of optical camera and IMU sensor derived kinematics of thirty transtibial prosthesis wearers. Scientific Data Vol.11 No.1 (2024). doi:10.1038/s41597-024-03677-3 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/100653
Title
A dataset of optical camera and IMU sensor derived kinematics of thirty transtibial prosthesis wearers
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Corresponding Author(s)
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Abstract
Motion analysis has played a crucial role in providing gait analysis for prosthetic users. Understanding kinematics in motion analysis allows for the evaluation of the effects of prostheses and the development of a prosthetic component design that aids in walking within the community. However, there are currently limited open datasets available to study the locomotion of individuals using transtibial prostheses, and most research studies involve a limited number of participants. This dataset shows 30 transtibial prosthesis users walking comfortably on a 10-meter walkway inside a laboratory. We offer a set of joint ankles obtained from the inertial measurement unit (IMU) signals in CSV file format. We also provide the optical motion capture (OMC) system’s raw trajectory marker data in C3D file format and joint angle in CSV file format. This open dataset will provide resources for professionals interested in amputee gait for research in amputee gait detection and tracking algorithms. Moreover, the data will be the control data for comparison in developing advanced prosthetic components.