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NOT YET RECRUITING
NCT07155460
NA

High Dimensional Computing Gesture Recognition

Sponsor: University Hospital, Grenoble

View on ClinicalTrials.gov

Summary

The primary objective of this study is the Improvement of gesture recognition and classification accuracy through the use of the HDC algorithm compared to other classification methods (KNN, RF, SGD, NC). The recognition rate will be expressed by the sensitivity and specificity of gesture recognition. The model will be trained on a portion of the dataset and tested on the remaining part to avoid any bias. The secondaries objectives are the : * Improvement of gesture recognition accuracy with our HDC algorithm compared to other standard models. * Calculation of gesture recognition rates depending on the number of electrodes used and their position. * Subject's assessment of device comfort rated above 6 on a 10-level visual analog scale. * Subject's assessment of ease of performing the gesture rated above 6 on a 10-level visual analog scale.

Key Details

Gender

All

Age Range

18 Years - 65 Years

Study Type

INTERVENTIONAL

Enrollment

10

Start Date

2026-01-15

Completion Date

2026-06

Last Updated

2026-01-20

Healthy Volunteers

Yes

Interventions

DEVICE

HDC-GCog

Surface electromyography records

Locations (1)

Clinatec Cea/Chuga

Grenoble, France