| Unique ID issued by UMIN | UMIN000060915 |
|---|---|
| Receipt number | R000069715 |
| Scientific Title | Accuracy Comparison Between AI-Based Markerless Motion Analysis and Optical Motion Capture |
| Date of disclosure of the study information | 2026/03/12 |
| Last modified on | 2026/03/12 22:06:35 |
Comparison of the Accuracy of AI-Based Markerless Motion Analysis and Optical Motion Capture
AI Motion Analysis vs Motion Capture Accuracy Study
Accuracy Comparison Between AI-Based Markerless Motion Analysis and Optical Motion Capture
AIM-MoCap Study
| Japan |
Healthy adults
| Rehabilitation medicine |
Others
NO
The purpose of this study is to evaluate the measurement accuracy of AI-based markerless motion analysis. In healthy adults, kinematic parameters obtained from AI-based markerless motion analysis will be compared with those obtained from optical motion capture under the same experimental conditions to examine the validity, advantages, and limitations of AI-based markerless motion analysis.
Efficacy
Exploratory
Explanatory
Not applicable
Agreement in maximum joint range of motion (ROM) between AI-based markerless motion analysis and optical motion capture across the measured tasks
Agreement of joint angle time-series data between AI-based markerless motion analysis and optical motion capture
Observational
| 18 | years-old | <= |
| Not applicable |
Male and Female
1. Healthy adults aged 18 years or older
2. Individuals with no history of neurological or musculoskeletal disorders affecting movement
3. Individuals who provide written informed consent to participate in the study
4. Individuals capable of safely performing the required joint movements and functional tasks
1. Individuals with neurological or musculoskeletal disorders that may affect movement
2. Individuals with pain or limited range of motion in the upper limbs, neck, trunk, or lower limbs that interferes with performing the study tasks
3. Individuals with acute injuries or medical conditions restricting physical movement during the study period
4. Individuals judged by the investigators to be unsuitable for participation in the study
30
| 1st name | Yuji |
| Middle name | |
| Last name | Inagaki |
Faculty of Health Sciences, Hokkaido University, Japan
Division of Rehabilitation Science
0600812
Kita 12-jo Nishi 5-chome, Kita-ku, Sapporo, Hokkaido, Japan
0117063335
y.inagaki@pop.med.hokudai.ac.jp
| 1st name | Yuji |
| Middle name | |
| Last name | Inagaki |
Faculty of Health Sciences, Hokkaido University, Japan
Division of Rehabilitation Science
0600812
Kita 12-jo Nishi 5-chome, Kita-ku, Sapporo, Hokkaido, Japan
0117063335
y.inagaki@pop.med.hokudai.ac.jp
Hokkaido University
Yuji Inagaki
Japan Science and Technology Agency
Japanese Governmental office
Japan
Faculty of Health Sciences, Graduate School of Health Sciences, Hokkaido University
Kita 12-jo Nishi 5-chome , Kita-ku, Sapporo, Hokkaido, Japan
0117063335
y.inagaki@pop.med.hokudai.ac.jp
NO
北海道
| 2026 | Year | 03 | Month | 12 | Day |
Unpublished
Preinitiation
| 2026 | Year | 03 | Month | 12 | Day |
| 2026 | Year | 04 | Month | 01 | Day |
| 2028 | Year | 03 | Month | 31 | Day |
This study is an observational study involving healthy adults. Participants will perform basic joint movements (shoulder flexion, abduction, internal and external rotation; elbow flexion; forearm pronation and supination; wrist flexion and extension; and cervical flexion, extension, and rotation) as well as functional tasks related to activities of daily living (reaching, hair-combing, hand-behind-back, sit-to-stand, and step-over tasks). Motion data will be recorded simultaneously using an AI-based markerless motion analysis system and an optical motion capture system. Three-dimensional coordinates and joint angle data obtained from both systems will be analyzed to examine the agreement and measurement error between the two methods. The results will be used to evaluate the accuracy and validity of AI-based markerless motion analysis.
| 2026 | Year | 03 | Month | 12 | Day |
| 2026 | Year | 03 | Month | 12 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/icdr_e/ctr_view.cgi?recptno=R000069715