Development and Evaluation of an AI System Providing Feedback on "Quality of Performance"

Development and Evaluation of an AI System Providing Feedback on "Quality of Performance" to Support Health and Activity - Development and Evaluation of an AI System for Quality of Performance

Status

Recruiting

Phases

Unknown

Study type

Interventional

Source

JPRN

Registry ID

JPRN-UMIN000057218

Enrollment

700

Registered

2025-03-05

Start date

2025-03-05

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

Stroke, Parkinson&#39

Interventions

Gait feedback using wearable sensors

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Community-dwelling older adults or individuals with movement disorders Those who understand the research explanation and provide informed consent

Exclusion criteria

Exclusion criteria: Individuals unable to perform a 10m walk Those with significant visual impairments affecting daily life Those who are unable to understand research explanations and exercise instructions Individuals deemed unsuitable by the researchers

Design outcomes

Primary

Measure	Time frame
Kinematics, kinetics, and spatiotemporal parameters during performance (including estimation of ground reaction force)	—

Secondary

Measure	Time frame
physical function, balance, scores of performance, questionnaire, higher brain function, parameters using mixed reality and robotics	—

Countries

Japan

Contacts

Public ContactKimihiko Mori

Kansai Medical University Faculty of Rehabilitation

morikim@makino.kmu.ac.jp0728562320

Outcome results

None listed

Source: JPRN (via WHO ICTRP) · Data processed: Jul 3, 2026

Development and Evaluation of an AI System Providing Feedback on &quot;Quality of Performance&quot;