Video of real presentation

https://youtu.be/bZp_whovXEo

cv_parkinson_detector_project

Abstract: Done through final project of CSE327(Computer vision) class as all SOLO porject. This detect Parkinson patient by two method: facial expression and spiral drawing. Model training is referred from other repository but front side and test part is all made by self.

Working Date: 2023 Spring semester

Contributor: eunewoo

PPT form

Summary can be seen in PPT form.

https://docs.google.com/presentation/d/1-YKvuLqczlYZ3Q9e2gjWk5eUlkqMLKS4Ysg44nekq4s/edit?usp=sharing

Report form

Detail explanation can be seen in Report form.

https://drive.google.com/file/d/1Ll-PT0KzPQcVr2Xtlm6WJOSh7QuRaFwO/view?usp=sharing

How to run this code

0. Setup necessary importing python and node files
1. Model Training: Run faceTest.py and spiralTest.py file.
2. Run Front: Go to 'sampleFront' folder and run 'node index.js'
3. Input Data: follow guideline in front and take videos,photos of the user
4. Run test: Click the detect button in front and it will show the result as alert

Source

1. openFace: https://github.com/TadasBaltrusaitis/OpenFace
2. Facial detect: https://github.com/mali7/PARK_facial_mimic
3. Spiral detect: https://github.com/rohitdubey03/detect-parkinsons

Copyright/Reference

OpenFace: https://github.com/TadasBaltrusaitis/OpenFace

Facial-analyze: https://github.com/mali7/PARK_facial_mimic

Spiral-drawing1: https://github.com/rohitdubey03/detect-parkinsons

Sprial-drawing2: https://github.com/rylp/Parkinsons-Disease-Detection