Results 241 to 250 of about 143,707 (286)

Dynamic Bayesian networks for visual recognition of dynamic gestures

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology, 2002
Summary: Dynamic Bayesian networks are a powerful representation to describe processes that vary over time inside a stochastic framework. This paper describes an online visual recognition system to recognize a set of five dynamic gestures executed with the user's right hand using dynamic Bayesian networks for recognition.
Avilés-Arriaga, Héctor Hugo, Sucar, Luis Enrique   +1 more
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Dynamic fingure gesture recognition using KINECT

2016 International Conference on Advanced Communication Control and Computing Technologies (ICACCCT), 2016
Sign language is the only means of communication for hearing and speech impaired people to communicate with other normal people. Gesture recognizing devices and algorithms have been developed to make this communication easy but not with the desired accuracy and speed.
M R Lavanya Varshini, C M Vidhyapathi
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Dynamic hand gesture recognition using Kinect

2017 Innovations in Power and Advanced Computing Technologies (i-PACT), 2017
In dynamic hand gesture recognition, the separation of hand part from the surroundings and locating the exact position of the hand has always been one of the major problems. In this paper we propose a simple and fast method to capture the trajectory of the moving hand and compare it with the trajectories corresponding to different gestures in the ...
Atharva Ajit Kadethankar, Apurv Dilip Joshi   +1 more
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Dynamic gesture recognition using 3D trajectory

2014 4th IEEE International Conference on Information Science and Technology, 2014
In this paper, we proposed an effective method which can recognize dynamic hand gesture by analyzing the information of motion trajectory captured by leap motion in three-dimension space. A simple gesture spotting is tried. And the orientation characteristics are quantified and coded as the feature after pre-processing the data.
Qianqian Wang, Yuan-Rong Xu, Xiao Bai, Dan Xu, Yen-Lun Chen, Xinyu Wu   +5 more
openaire   +1 more source

Dynamic Hand Gesture Recognition Framework

2014
Sign languages originated long before any speech-based languages evolved in the world. They contain subtleties that rival any speech-based languages conveying a rich source of information much faster than any speechbased languages. Similar to the diversity of speech-based languages, sign languages vary from region to region.
Premaratne, Prashan, Yang, Shuai, Zhou, Zhengmao, Bandara, Nalin   +3 more
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Dynamic time wrapping based gesture recognition

2014 International Conference on Robotics and Emerging Allied Technologies in Engineering (iCREATE), 2014
Sign language provides hearing and speech impaired people with an interface to communicate with society. Unfortunately most people do not understand sign language. For this, image processing and pattern recognition can provide with a vital tool to detect and translate sign language into vocal language.
Saad Masood, Majid Parvez Qureshi, M. Bilal Shah, Salman Ashraf, Zahid Halim, Ghulam Abbas   +5 more
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Real-Time Dynamic Hand Gesture Recognition

2014 International Symposium on Computer, Consumer and Control, 2014
A 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, 2014
Multimodal 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), 2020
In 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), 2016
Continuous 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
openaire   +1 more source