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Gait Analysis with a Capacitive Sensor Floor and Recurrent Neural Networks

Gait Analysis with a Capacitive Sensor Floor and Recurrent Neural Networks

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
DRKS
Registry ID
DRKS00023961
Enrollment
250
Registered
2020-12-28
Start date
2020-10-03
Completion date
Unknown
Last updated
2026-03-02

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

Conditions

young healthy participants

Interventions

Group 1: Young healthy participants without lower limb lesions walk over a capacitive sensor floor.

Sponsors

Universitätsklinikum Schleswig-Holstein Campus Lübeck
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 32 Years

Inclusion criteria

Inclusion criteria: walking ability

Exclusion criteria

Exclusion criteria: lower limb lesions, pain

Design outcomes

Primary

MeasureTime frame
Predictability of a capacitive sensor floor/neural network.

Secondary

MeasureTime frame
Distinction between a test situation (binary).

Countries

Germany

Contacts

Public ContactHanna Brodowski

Institut für Gesundheitswissenschaften

hanna.brodowski@uni-luebeck.de+49 451 3101 8541

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Mar 14, 2026