https://github.com/rimo02/sign-language-detection

Detecting American Sign Language using Graph Conv Network and Mediapipe
https://github.com/rimo02/sign-language-detection

gnn graph-attention mediapipe

Last synced: 3 days ago
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Detecting American Sign Language using Graph Conv Network and Mediapipe

• Host: GitHub
• URL: https://github.com/rimo02/sign-language-detection
• Owner: rimo02
• License: mit
• Created: 2023-08-20T07:25:51.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2023-08-20T17:34:38.000Z (about 1 year ago)
• Last Synced: 2024-06-07T20:27:17.354Z (5 months ago)
• Topics: gnn, graph-attention, mediapipe
• Language: Python
• Homepage:
• Size: 25.7 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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# Results

![Alt text](Images/output.png)

`Using the landmarks coordinates for hand gestures {x,y,z} generated using mediapipe i transformed the dataset to a graph classification problem. 

Our model also achieved quite a good accuracy - 90% on training set and 86% on test set.`

## References

[DeepFindr gnn-project](https://github.com/deepfindr/gnn-project/tree/main)