- Published on June 10, 2020
- In Deep Tech
Hands-On Guide To Sign Language Classification Using CNN
In this article, we will classify the sign language symbols using the Convolutional Neural Network (CNN). After successful training of the CNN model, the corresponding alphabet of a sign language symbol will be predicted. We will evaluate the classification performance of our model using the non-normalized and normalized confusion matrices. Finally, we will obtain the classification accuracy score of the CNN model in this task.
- By Dr. Vaibhav Kumar
Computer Vision has many interesting applications ranging from industrial applications to social applications. It has also been applied in many support for physically challenged people. For deaf-mute people, computer vision can generate English alphabets based on the sign language symbols. It can recognize the hand symbols and predict the correct corresponding alphabet through sign language classification.
In this article, we will classify the sign language symbols using the Convolutional Neural Network (CNN). After successful training of the CNN model, the corresponding alphabet of a sign language symbol will be predicted. We will evaluate the classification performance of our model using the non-normalized and normalized confusion matrices. Finally, we will obtain the classification accu
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Dr. Vaibhav Kumar
Dr. Vaibhav Kumar is a seasoned data science professional with great exposure to machine learning and deep learning. He has good exposure to research, where he has published several research papers in reputed international journals and presented papers at reputed international conferences. He has worked across industry and academia and has led many research and development projects in AI and machine learning. Along with his current role, he has also been associated with many reputed research labs and universities where he contributes as visiting researcher and professor.
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