Abstract
Gesture recognition is the most intuitive form of human-computer interface. Hand gestures provide a natural way for humans to interact with computers to perform a variety of different applications. However, factors such as complexity of hand gesture structures, differences in hand size, hand posture, and environmental illumination can influence the performance of hand gesture recognition algorithms. Considering the above factors, this paper aims to present a real time system for hand gesture recognition on the basis of detection of some meaningful shape-based features like orientation, center of mass, status of fingers, thumb in terms of raised or folded fingers of hand and their respective location in image. The internet is growing at a very fast pace. The use of web browser is also growing. Everyone has at least two or three most frequently visited website. Thus, in this paper, effectiveness of the gesture recognition and its ability to control the browser via the recognized hand gestures are experimented and the results are analyzed.
Highlights
In the world of almost 7 billion people more than 500 million suffer from some physical, sensory or mental disability states United Nations organization as on December 3, 2019
Considering the above factors, this paper aims to present a real time system for hand gesture recognition on the basis of detection of some meaningful shape-based features like orientation, center of mass, status of fingers, thumb in terms of raised or folded fingers of hand and their respective location in image
Sign language is an efficient alternative to talking, where the former is replaced by hand gestures
Summary
In the world of almost 7 billion people more than 500 million suffer from some physical, sensory or mental disability states United Nations organization as on December 3, 2019. Their lives are often hampered by some disabilities which turns down them full participation in society and even their enjoyment of equal rights and opportunities. Sign language is used commonly for the deaf and the dumb. Sign language is an efficient alternative to talking, where the former is replaced by hand gestures. Signs are used to communicate words and sentences to audience. Our objective is to optimize an algorithm for recognition of hand gestures with reasonable accuracy, where the input to the pattern recognition system will be given from the hand
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