Publication Date: 2021/06/03
Abstract: A gesture is a form of sign language that incorporates the movement of the hands or face to indicate an idea, opinion, or emotion. Sign language is a way for deaf and mute persons to communicate with others by using gestures. Deaf and mute persons are familiar with sign language since it is widely used in their community, while the general public is less familiar. Hand gestures have been increasingly popular because they let deaf and mute people communicate with others. Many of these forms of communication, however, are still limited to specialized applications and costly hardware. As a result, we look at a simpler technique that uses fewer resources, such as a personal computer with a web camera that accomplishes our goal. The gestures are captured as images through a webcam and image processing is done to extract the hand shape. The interpretation of images is carried out using a LeNet-5 Convolutional Neural Network architecture.
Keywords: Gesture; Image Processing; Convolutional Neural Network; Numbers; Digits; OpenCV; LeNet-5; Parameters.
DOI: No DOI Available
PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT21MAY848.pdf
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