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Original Article
A Real-Time Sign Language Detection and Emergency Response System with Integrated Age, Gender, And Emotion Recognition Using Open CV
G. Divya,1
R. Giridharan,2
G. Vikram,3
R. Rameshkannan4
1 Assistant Professor, Department of Information Technology, PSV College of Engineering and Technology, Krishnagiri, Tamil Nadu, India. 2 3 4 UG Scholars, Department of Information Technology, PSV College of Engineering and Technology, Krishnagiri, Tamil Nadu, India.
Published Online: January-April 2026
Pages: 383-386
Cite this article
No DOIReferences
1. OpenCV Documentation, Open Source Computer Vision Library. Available: https://opencv.org
2. MediaPipe, “Hand Tracking and Face Detection Solutions,” Developed by Google. Available: https://mediapipe.dev
3. TensorFlow, Developed by Google, “An End-to-End Open Source Platform for Machine Learning.” Available: https://www.tensorflow.org
4. Keras Documentation, “Deep Learning for Humans.” Available: https://keras.io
5. NumPy Documentation, “Fundamental Package for Scientific Computing in Python.” Available: https://numpy.org
6. Matplotlib Documentation, “Visualization with Python.” Available: https://matplotlib.org
7. Deep Learning, Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville, MIT Press, 2016
8. Computer Vision, Computer Vision: Algorithms and Applications by Richard Szeliski, Springer, 2010
9. Convolutional Neural Networks, ImageNet Classification with Deep Convolutional Neural Networks by Alex Krizhevsky et al., 2012
10. Human-Computer Interaction Research Papers on Sign Language Recognition Systems, IEEE Xplore Digital Library
2. MediaPipe, “Hand Tracking and Face Detection Solutions,” Developed by Google. Available: https://mediapipe.dev
3. TensorFlow, Developed by Google, “An End-to-End Open Source Platform for Machine Learning.” Available: https://www.tensorflow.org
4. Keras Documentation, “Deep Learning for Humans.” Available: https://keras.io
5. NumPy Documentation, “Fundamental Package for Scientific Computing in Python.” Available: https://numpy.org
6. Matplotlib Documentation, “Visualization with Python.” Available: https://matplotlib.org
7. Deep Learning, Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville, MIT Press, 2016
8. Computer Vision, Computer Vision: Algorithms and Applications by Richard Szeliski, Springer, 2010
9. Convolutional Neural Networks, ImageNet Classification with Deep Convolutional Neural Networks by Alex Krizhevsky et al., 2012
10. Human-Computer Interaction Research Papers on Sign Language Recognition Systems, IEEE Xplore Digital Library
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