Real Time Hand Gesture Recognition System for Dynamic Applications
نویسندگان
چکیده
منابع مشابه
Real Time Hand Gesture Recognition System for Dynamic Applications
Virtual environments have always been considered as a means for more visceral and efficient human computer interaction by a diversified range of applications. The spectrum of applications includes analysis of complex scientific data, medical training, military simulation, phobia therapy and virtual prototyping. Evolution of ubiquitous computing, current user interaction approaches with keyboard...
متن کاملA Real Time Static & Dynamic Hand Gesture Recognition System
Hand gesture recognition system plays a vital role in our day to day life. This hand gesture recognition system provides us natural, innovative, user friendly way of interaction with the computer which is more familiar to us. Gesture recognition has a wide area of application including human machine interaction, sign language, game technology robotics etc. There are different static hand gestur...
متن کاملA Real Time Static & Dynamic Hand Gesture Recognition System
Hand gesture recognition system plays a vital role in our day to day life. This hand gesture recognition system provides us natural, innovative, user friendly way of interaction with the computer which is more familiar to us. Gesture recognition has a wide area of application including human machine interaction, sign language, game technology robotics etc. There are different static hand gestur...
متن کاملReal Time Hand Gesture Recognition System
11 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Pvt. Ltd. AbstractHand gestures can be used for natural and intuitive human-computer interaction. Our new method combines existing techniques of skin color based ROI segmentation and Viola-Jones Haar-like feature based object detection, to optimize hand gesture recognition for mouse operation. A mouse operation has two p...
متن کاملA Real-time Hand Gesture Recognition System
Hand gesture recognition can be used in many applications such as interactive data analysis or American Sign Language detection. Current systems are either expensive, unable to run in real time, or require the user wear devices such as custom gloves. We propose an inexpensive solution for predicting hand gestures in real time that uses Microsoft’s Kinect camera. Our system involves training a r...
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ژورنال
عنوان ژورنال: International Journal of UbiComp
سال: 2012
ISSN: 0976-2213
DOI: 10.5121/iju.2012.3103