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

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

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000060915

Enrollment

Registered

2026-03-12

Start date

2026-04-01

Completion date

Unknown

Last updated

2026-06-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Healthy adults

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

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

Exclusion criteria

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

Design outcomes

Primary

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

Secondary

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

Countries

Japan

Contacts

Public ContactYuji Inagaki

Faculty of Health Sciences, Hokkaido University, Japan Division of Rehabilitation Science

y.inagaki@pop.med.hokudai.ac.jp0117063335

Outcome results