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GitHub / VenkateshBH99 / Continuous-Sign-Language-using-Leap-Motion-Sensor

Worked on hand gestures and recognizing the words and combine them to form a meaningful sentences. I have used two machine learning models - SVM and LSTM, to predict the sign. The models were trained and tested using 42 different sign words and 28 sentences. LSTM outperformed with accuracy 98.21 %.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/VenkateshBH99%2FContinuous-Sign-Language-using-Leap-Motion-Sensor

Stars: 10
Forks: 8
Open issues: 4

License: None
Language: Jupyter Notebook
Size: 2.41 MB
Dependencies parsed at: Pending

Created at: almost 5 years ago
Updated at: over 2 years ago
Pushed at: over 4 years ago
Last synced at: about 2 years ago

Topics: cnn, continuous-sign-language, leap-motion-sensor, lstm, meaningful-sentences, sign

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