Hand Gesture Recognition From Video
Abstract: Gestures are the very expressive and meaningful body motions. Gesture recognition provides meaningful expressions of motion by a human involving the hands, arms, face, head, and body. Human motion capture is used both when the subject is viewed as a single object and articulated motion with a number of joints. For example, Speech and handwriting, here gestures vary between individuals, and even we can say for the same individual between different instances. In this paper we have implemented the hand gesture recognition from video using point matching technique. Gesture recognition typically requires the use of different imaging and tracking devices or gadgets.
Keywords: Indian Sign Language ISL, Hand posture, Key point Matching, Sign/hand gesture recognition, feature extraction, gesture determination
How to Cite?: Priya Gairola, Sanjay Kumar, "Hand Gesture Recognition From Video ", Volume 3 Issue 4, April 2014, International Journal of Science and Research (IJSR), Pages: 154-158, https://www.ijsr.net/getabstract.php?paperid=20131413, DOI: https://dx.doi.org/10.21275/20131413