Results 241 to 250 of about 144,123 (288)

Recognition of dynamic hand gestures

Pattern Recognition, 2003
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Ramamoorthy, Aditya, Vaswani, Namrata, Chaudhury, Santanu, Banerjee, Subhashis   +3 more
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Dynamic hand gesture recognition

2016 International Conference on Signal and Information Processing (IConSIP), 2016
Recognition 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, Jayashree Sonawane   +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), 2020
This 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, Jacopo Finocchi, Giulia Trasa   +2 more
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Democratizing 3D dynamic gestures recognition

2013 1st IEEE Workshop on User-Centered Computer Vision (UCCV), 2013
Developing 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, null Yong Yue, J. Tscherrig, O. A. Khaled, E. Mugellini   +4 more
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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
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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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