Measurement and assessment method about walking motion using wearable sensor and deep learning

Measurement and assessment method about walking motion using wearable sensor and deep learning - Measurement and assessment method about walking motion using wearable sensor and deep learning

Status

Active, not recruiting

Phases

Unknown

Study type

Interventional

Source

JPRN

Registry ID

JPRN-UMIN000055756

Enrollment

Registered

2024-10-06

Start date

2024-10-15

Completion date

Unknown

Last updated

2025-07-18

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

Conditions

elderly, handicapped person in ambulation, prosthetic legged person

Interventions

Subjects&#39

walking motion are measured with motion capture system and movies are taken.

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria:

Exclusion criteria

Exclusion criteria: A person who cannot walk with his/her both legs. In the case of prosthetic legged, a person who have prosthetic devices on both legs.

Design outcomes

Primary

Measure	Time frame
Joint angle during walking motion, Optimal sensor set	—

Countries

Japan

Contacts

Public ContactJAEHOON LEE

Ehime University Graduate School of Science and Engineering

jhlee@ehime-u.ac.jp0899279709

Outcome results

None listed

Source: JPRN (via WHO ICTRP) · Data processed: Feb 4, 2026