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Integrating Cross-Modal Semantic Learning with Generative Models for Gesture Recognition. [PDF]
Zhai S, Dai Z, Jin Z, Qin P, Zeng J.
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2005 IEEE Instrumentationand Measurement Technology Conference Proceedings, 2006
In this paper we introduce our method for enabling dynamic gesture recognition for hand gestures. Like a number of other research work focusing on gesture recognition we use a camera to track the motions and interpret these in terms of actual meaningful gestures; however we emphasise the tracking of fingers as well as the hand in order to cover a much ...
C. Joslin +3 more
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In this paper we introduce our method for enabling dynamic gesture recognition for hand gestures. Like a number of other research work focusing on gesture recognition we use a camera to track the motions and interpret these in terms of actual meaningful gestures; however we emphasise the tracking of fingers as well as the hand in order to cover a much ...
C. Joslin +3 more
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Recognition of dynamic hand gestures
Pattern Recognition, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ramamoorthy, Aditya +3 more
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Dynamic hand gesture recognition
2016 International Conference on Signal and Information Processing (IConSIP), 2016Recognition of dynamic gesture is one of the most challenging tasks in the computer vision. This paper deals with dynamic hand gesture (digits) recognition. The method consist of three fold novel contributions: firstly finding the flow of hand, secondly recognition technique of signs (Dynamic digits) and thirdly classification of gesture.
Rajeshree Rokade-Shinde +1 more
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Gesture Recognition using Dynamic Time Warping
2020 IEEE 29th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE), 2020This paper presents an approach to the recognition of human gestures in the context of the “Seamless” project. In the project, data collected by IoT sensors can be navigated through gesture recognition algorithms. The aim of recognizing human gestures in Seamless is to give commands through a wearable control device.
Mariagrazia Fugini +2 more
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Democratizing 3D dynamic gestures recognition
2013 1st IEEE Workshop on User-Centered Computer Vision (UCCV), 2013Developing vision-based 3D gestures recognition systems requires strong expertise and knowledge in computer vision and machine learning techniques. As human-computer interaction researchers do not generally have a thorough knowledge of these techniques, we developed Gesta.
M. Caon +4 more
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