2017/09/03 by Vandit Gajjar, Gajjar, Vandit, Viraj Mavani +3
Computer Science · Engineering · #Artificial intelligence #Computer Vision and Pattern Recognition (cs.CV) #Computer graphics (images) #Computer science #Computer vision #FOS: Computer and information sciences #Gesture #Gesture recognition #Hand Gesture Recognition Systems #Human–computer interaction #Robotics and Automated Systems #cs.CV
paper · pdf · doi:10.48550/arxiv.1709.00727
This paper needs a proper writing and experiments need to be implemented, thus we are withdrawing this submission
openalex publication_date 2017/09/03 · arxiv created 2018/03/18 · arxiv updated 2018/03/20 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
With current development universally in computing, now a days user interaction approaches with mouse, keyboard, touch-pens etc. are not sufficient. Directly using of hands or hand gestures as an input device is a method to attract people with providing the applications, through Machine Learning and Computer Vision. Human-computer interaction application in which you can simply draw different shapes, fill the colors, moving the folder from one place to another place and rotating your image with rotating your hand gesture all this will be without touching your device only. In this paper Machine Learning based hand gestures recognition is presented, with the use of Computer Vision different types of gesture applications have been created.