Assistance for Healthcare Professionals using Hand Gesture Recognition

Bedridden and paralyzed individuals need to be continuously taken care of since they find it difficult to convey their requirements due to loss of movement management in their brain. This results in communication disabilities. The proposed system aims to reduce the burden on healthcare providers with a computer-aided system that interprets the hand gestures shown by the patient and displays the needs of the patient on a monitor. Hand gesture recognition involves three processes namely: hand detection, finger detection, and gesture detection. Firstly, Hand gestures are captured by a webcam and are recognized by a Deep learning model called Computational Neural Networks (CNN), followed by background subtraction, image recognition, and image processing. CNN is used as it provides accurate and efficient output. The output/need is displayed by connecting the webcams to any desk for the ease of healthcare providers.