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Real-Time Dynamic Hand Gesture Recognition
2014 International Symposium on Computer, Consumer and Control, 2014A real time dynamic hand gesture recognition system is performed in this paper. The eleven kinds of hand gestures have been dynamic recognized, which represent the number from one to nine. The dynamic images are caught by a dynamic video. We use the YCbCrcolor space transformation to detect the skin color and to find the hand contour from the complex ...
Hsiang Yueh Lai, Han Jheng. Lai
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Multimodal Dynamic Networks for Gesture Recognition
Proceedings of the 22nd ACM international conference on Multimedia, 2014Multimodal input is a real-world situation in gesture recognition applications such as sign language recognition. In this paper, we propose a novel bi-modal (audio and skeleton joints) dynamic network for gesture recognition. First, state-of-the-art dynamic Deep Belief Networks are deployed to extract high level audio and skeletal joints ...
Wu, Di, Shao, Ling
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Dynamic gesture recognition based on temporal modeling
2020 Chinese Control And Decision Conference (CCDC), 2020In order to solve the problem of dynamic gesture recognition in traditional methods, a method of dynamic gesture recognition based on time series is proposed. The video is intercepted at several frames, the gesture information is segmented by modeling skin color, and a set of pictures corresponding to dynamic gestures are fused.
Wang Rui, Wang Zhonghua
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Dynamic hand gesture recognition using kinect sensor
2016 International Conference on Global Trends in Signal Processing, Information Computing and Communication (ICGTSPICC), 2016Continuous trajectory path made by hand over a period of time is considered for gesture recognition purpose. Dynamic gesture recognition has always been critical, since conventional method utilize separation of hand from surrounding environment and then finding of palm points make it hard. In this paper real time dynamic hand gesture recognition system
Devendrakumar H. Pal, S. M. Kakade
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Dynamic gesture track recognition based on HMM
Proceedings of 2005 IEEE International Workshop on VLSI Design and Video Technology, 2005., 2005The dynamic gesture track training based on HMM (hidden Markov model) is one of the key techniques in dynamic gesture recognition. This paper adapts the iteration algorithm of Baum-Welch on the HMM to train and do some research to the performance of dynamic gesture track training from iteration times, sample number selection and model initial value ...
null Wu Xiaojuan, null Zhao Zijian
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Dynamic Gesture Recognition for Social Robots
2017Interpreting users messages, both verbal and non-verbal is essential to achieve a natural Human-Robot Interaction. Traditionally, Social Robots, and particularly Care Robots, rely on interfaces such as voice, touch or images to acquire information from users although the latter is usually used to locate them.
José Carlos Castillo +4 more
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Dynamic Gesture Recognition Based on LSTM-CNN
2018 Chinese Automation Congress (CAC), 2018The current research on using surface electromyography (sEMG) for gesture recognition mainly focuses on designing EMG signal features, decent feature designs can significantly improve the result. Nevertheless, the process of designing and selecting features can be complicated, as well as the precision of recognition for different features will be ...
Yuheng Wu, Bin Zheng, Yongting Zhao
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Dynamic Gesture Recognition Sign Language Interpreter
Abstract—Hand gestures, body postures, and body movements are all part of sign language, which has been the first and millions of people's sole language for a long time. However, for them to interact with others, the other person must also understand these sign language.UrmilaBachate, SubhaSubramaniam
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Dynamic Hand Gesture Recognition Using Centroid Tracking
2015In many dynamic hand gesture recognition contexts, time information is not adequately used. The extracted features of dynamic gestures usually do not carry explicit information about time in gesture classification. This results in under-utilized data for more important accurate classification.
Premaratne, Prashan +3 more
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Dynamic gesture recognition for human robot interaction
2009 6th Latin American Robotics Symposium (LARS 2009), 2009In this article a robust and real-time dynamic hand gesture recognition system meant to allow a natural interaction with a service robot, in dynamic environments, is proposed. The main novelty of the proposed approach is the use of temporal statistics about the hand's positions and velocities as basic information to recognize the gestures.
Jong Lee-Ferng +3 more
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