SAHARA: Communication System for Deaf and Mute
Gargi Sadashiv Gaitonde, Kuruppathukattil Sreemol Bharathan, Aditee Arun Parkar · Journal of Emerging Technologies and Innovative Research · 2021
The Dynamics of the world changed after the invention of electricity and followed by the invention of the internet. These inventions drastically changed the standard of living. The technology prospered in all sectors with time. People started finding comfort in automation. Thus, we propose a smart communication system to enhance the standard of living for the deaf and mute. This system uses sign recognition based on dynamic hand gesture recognition techniques in real-time scenarios. Computer Vision-based techniques were used for image analysis. The captured video of the hand is converted to Hue, Saturation, Value (HSV) color space for processing and then segmentation was done based on skin pixels. Contour Extraction is used in parallel to get more accurate results. Then the classification of gestures was done by Support Vector Machine(SVM) Classifier. The respective message is displayed through a mobile application ’SAHARA’.