Results 271 to 280 of about 15,698 (301)

Depth-based hand gesture recognition

Multimedia Tools and Applications, 2015
In this article, a dynamic gesture recognition system with the depth information is proposed. The proposed system consists of three main components: preprocessing, static posture recognition and dynamic gesture recognition. In the first component, the background subtraction is used to exclude invalid gestures that is not generated by the main user, and
Wu, C.-H, Chen, W.-L, Lin, C.H.
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Hand gesture segmentation, recognition and application

Proceedings 2001 IEEE International Symposium on Computational Intelligence in Robotics and Automation (Cat. No.01EX515), 2002
Vision-based hand gesture recognition provides a more nature and powerful means for human-computer interaction. In this paper, we present some new approaches for hand image segmentation, 2D hand posture recognition and 3D hand gesture reconstruction. We segment hand images from complex backgrounds with the color segmentation approach based on the RCE ...
Xiaoming Yin, Ming Xie
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Hand Gesture Recognition with Inertial Sensors

2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018
Dyscalculia is a learning difficulty hindering fundamental arithmetical competence. Children with dyscalculia often have difficulties in engaging in lessons taught with traditional teaching methods. In contrast, an educational game is an attractive alternative. Recent educational studies have shown that gestures could have a positive impact in learning.
Krittameth Teachasrisaksakul, Liqun Wu, Guang-Zhong Yang, Benny Lo   +3 more
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LDCRFs-based hand gesture recognition

2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2012
This paper proposes a system to recognize isolated American Sign Language and numbers in real-time from Bumblebee stereo camera using Latent-Dynamic Conditional Random Fields (LDCRFs). Our system is based on three main stages: preprocessing, feature extraction and classification.
Mahmoud Elmezain, Ayoub Al-Hamadi
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Multiplatform System for Hand Gesture Recognition

2019 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2019
This paper is focused on hand gestures and finger detection in still images and video sequences. The paper also contains a brief testing of different approaches to hand gesture detections as well as the realization of the platform independent application written in Python using OpenCV and PyTorch libraries, that can show a selected image or play a ...
Tomás Bravenec, Tomas Fryza
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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.
Prashan Premaratne, Shuai Yang, ZhengMao Zhou, Nalin Bandara   +3 more
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Fast hand detection and gesture recognition

2015 International Conference on Machine Learning and Cybernetics (ICMLC), 2015
A fast hand detection and gesture recognition method is proposed in this paper. To reduce the computation time, we employ symmetric mask-based discrete wavelet transform (SMDWT) to reduce the image resolution and then utilize the extracted characteristics to perform hand detection and gesture recognition.
Yuh-Rau Wang, Jia-Liang Syu, Hsin-Ting Li, Ling Yang 0005   +3 more
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Hand gesture recognition and animation for local hand motions

International Journal of Machine Learning and Cybernetics, 2013
Hand gestures are universally adopted means of communication to convey message in the form of sign language. Therefore, to communicate with a deaf and dumb person, a normal human requires to have some knowledge about the sign language and should be able to make the sign language gestures.
Manas Kamal Bhuyan, V. Venkata Ramaraju, Yuji Iwahori   +2 more
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Independent hand gesture recognition in HandTalker

1995
HandTalker is a system we designed for enhanced user interface which allows user to communicate with computers or through computer network with others by hand gesture. One of the application cases of HandTalker is to help deaf people to “see” everyday news and to talk with other people.
Wen Gao 0001, Shuanglin Wang
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A Hand Data Model for Gesture Recognition

1997
This paper describes a novel hand data model as a system evaluator that defines the minimum requirements for a robust recognition system. Interface devices for the user’s hand can be as simple as a switch to highly complex multi sensor gloves. A model is required that can cope with both diversity of the input devices and the rich variety of gesture ...
S. Ben Salem, R. A. Yates 0001
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