UMIN-ICDS Clinical Trial

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

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Basic information

Public title

Comparison of the Accuracy of AI-Based Markerless Motion Analysis and Optical Motion Capture

Acronym

AI Motion Analysis vs Motion Capture Accuracy Study

Scientific Title

Accuracy Comparison Between AI-Based Markerless Motion Analysis and Optical Motion Capture

Scientific Title:Acronym

AIM-MoCap Study

Region

Japan


Condition

Condition

Healthy adults

Classification by specialty

Rehabilitation medicine

Classification by malignancy

Others

Genomic information

NO


Objectives

Narrative objectives1

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.

Basic objectives2

Efficacy

Basic objectives -Others


Trial characteristics_1

Exploratory

Trial characteristics_2

Explanatory

Developmental phase

Not applicable


Assessment

Primary outcomes

Agreement in maximum joint range of motion (ROM) between AI-based markerless motion analysis and optical motion capture across the measured tasks

Key secondary outcomes

Agreement of joint angle time-series data between AI-based markerless motion analysis and optical motion capture


Base

Study type

Observational


Study design

Basic design


Randomization


Randomization unit


Blinding


Control


Stratification


Dynamic allocation


Institution consideration


Blocking


Concealment



Intervention

No. of arms


Purpose of intervention


Type of intervention


Interventions/Control_1


Interventions/Control_2


Interventions/Control_3


Interventions/Control_4


Interventions/Control_5


Interventions/Control_6


Interventions/Control_7


Interventions/Control_8


Interventions/Control_9


Interventions/Control_10



Eligibility

Age-lower limit

18 years-old <=

Age-upper limit


Not applicable

Gender

Male and Female

Key inclusion criteria

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

Key exclusion criteria

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

Target sample size

30


Research contact person

Name of lead principal investigator

1st name Yuji
Middle name
Last name Inagaki

Organization

Faculty of Health Sciences, Hokkaido University, Japan

Division name

Division of Rehabilitation Science

Zip code

0600812

Address

Kita 12-jo Nishi 5-chome, Kita-ku, Sapporo, Hokkaido, Japan

TEL

0117063335

Email

y.inagaki@pop.med.hokudai.ac.jp


Public contact

Name of contact person

1st name Yuji
Middle name
Last name Inagaki

Organization

Faculty of Health Sciences, Hokkaido University, Japan

Division name

Division of Rehabilitation Science

Zip code

0600812

Address

Kita 12-jo Nishi 5-chome, Kita-ku, Sapporo, Hokkaido, Japan

TEL

0117063335

Homepage URL


Email

y.inagaki@pop.med.hokudai.ac.jp


Sponsor or person

Institute

Hokkaido University

Institute

Department

Personal name

Yuji Inagaki


Funding Source

Organization

Japan Science and Technology Agency

Organization

Division

Category of Funding Organization

Japanese Governmental office

Nationality of Funding Organization

Japan


Other related organizations

Co-sponsor


Name of secondary funder(s)



IRB Contact (For public release)

Organization

Faculty of Health Sciences, Graduate School of Health Sciences, Hokkaido University

Address

Kita 12-jo Nishi 5-chome , Kita-ku, Sapporo, Hokkaido, Japan

Tel

0117063335

Email

y.inagaki@pop.med.hokudai.ac.jp


Secondary IDs

Secondary IDs

NO

Study ID_1


Org. issuing International ID_1


Study ID_2


Org. issuing International ID_2


IND to MHLW

北海道


Institutions

Institutions



Other administrative information

Date of disclosure of the study information

2026 Year 03 Month 12 Day


Related information

URL releasing protocol


Publication of results

Unpublished


Result

URL related to results and publications


Number of participants that the trial has enrolled


Results


Results date posted


Results Delayed


Results Delay Reason


Date of the first journal publication of results


Baseline Characteristics


Participant flow


Adverse events


Outcome measures


Plan to share IPD


IPD sharing Plan description



Progress

Recruitment status

Preinitiation

Date of protocol fixation

2026 Year 03 Month 12 Day

Date of IRB


Anticipated trial start date

2026 Year 04 Month 01 Day

Last follow-up date

2028 Year 03 Month 31 Day

Date of closure to data entry


Date trial data considered complete


Date analysis concluded



Other

Other related information

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.


Management information

Registered date

2026 Year 03 Month 12 Day

Last modified on

2026 Year 03 Month 12 Day



Link to view the page

Value
https://center6.umin.ac.jp/cgi-open-bin/icdr_e/ctr_view.cgi?recptno=R000069715