Automated Real-time Gesture Recognition using Hand Motion Trajectory
نویسندگان
چکیده
منابع مشابه
Real Time Trajectory Based Hand Gesture Recognition
The recognition of hand gestures from image sequences is an important and challenging problem. This paper presents a robust solution to track and recognize a list of hand gestures from their trajectory. The main tools of the proposed solution are robust kernel density estimation and the related mean shift algorithm, used in both video tracking and trajectory segmentation. The gesture definition...
متن کاملReal-Time Hand Gesture Recognition using Motion Tracking
Real-Time Hand Gesture Recognition using Motion Tracking
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The objective of the gesture recognition is to identify and distinguish the human gestures and utilizes these identified gestures for applications in specific domain. In this paper we propose a new approach to build a real time system to identify the standard gesture given by American Sign Language, or ASL, the dominant sign language of Deaf Americans, including deaf communities in the United S...
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As robots become more integrated into humans' everyday lives, it becomes essential for them to perceive and understand people's intentions and actions. People will want a more natural way to interact with robots, closer to the way humans do it among themselves. When humans communicate, they use a rich set of gestures and body language in addition to speech, which signiicantly enhances their abi...
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The recognition of hand gestures from image sequences is an important and challenging problem. This paper presents a robust solution to track and recognize a list of hand gestures from their trajectory. The CamShift algorithm is used for hand tracking and the resulting trajectory is segmented into strokes. The trajectory of recognized gestures consists of at least 2 strokes. The gestures are cl...
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ژورنال
عنوان ژورنال: International Journal of Engineering and Technology
سال: 2017
ISSN: 2319-8613,0975-4024
DOI: 10.21817/ijet/2017/v9i4/170904207