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Gesture Recognition Portfolios for Personalization [PDF]
2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014 Human gestures, similar to speech and handwriting, are often unique to the individual. Training a generic classifier applicable to everyone can be very difficult and as such, it has become a standard to use personalized classifiers in speech and handwriting recognition.
Yao, Angela +2 more
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An Improved Gesture Segmentation Method for Gesture Recognition Based on CNN and YCbCr
Journal of Electrical and Computer Engineering, 2021 With the continuous improvement of people’s requirements for interactive experience, gesture recognition is widely used as a basic human-computer interaction.
Yan Luo, Gaoxiang Cui, Deguang Li
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Gesture recognition with a Wii controller [PDF]
Proceedings of the 2nd international conference on Tangible and embedded interaction, 2008 In many applications today user interaction is moving away from mouse and pens and is becoming pervasive and much more physical and tangible. New emerging interaction technologies allow developing and experimenting with new interaction methods on the long way to providing intuitive human computer interaction.
Schlömer, Thomas +3 more
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MEMS Devices-Based Hand Gesture Recognition via Wearable Computing
Micromachines, 2023 Gesture recognition has found widespread applications in various fields, such as virtual reality, medical diagnosis, and robot interaction. The existing mainstream gesture-recognition methods are primarily divided into two categories: inertial-sensor ...
Huihui Wang +6 more
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Real time hand gesture recognition including hand segmentation and tracking [PDF]
, 2006 In this paper we present a system that performs automatic gesture recognition. The system consists of two main components: (i) A unified technique for segmentation and tracking of face and hands using a skin detection algorithm along with handling ...
Sutherland, Alistair +7 more
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Hand Gesture Recognition for Sign Language Using 3DCNN
IEEE Access, 2020 Recently, automatic hand gesture recognition has gained increasing importance for two principal reasons: the growth of the deaf and hearing-impaired population, and the development of vision-based applications and touchless control on ubiquitous devices.
Muneer Al-Hammadi +5 more
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Real-time hand gesture recognition for uncontrolled environments using adaptive SURF tracking and hidden conditional random fields [PDF]
, 2013 Challenges from the uncontrolled environments are the main difficulties in making hand gesture recognition methods robust in real-world scenarios. In this paper, we propose a real-time and purely vision-based method for hand gesture recognition in ...
Yi Yao +3 more
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Combined Hand Gesture — Speech Model for Human Action Recognition
Sensors, 2013 This study proposes a dynamic hand gesture detection technology to effectively detect dynamic hand gesture areas, and a hand gesture recognition technology to improve the dynamic hand gesture recognition rate.
Sheng-Tzong Cheng +2 more
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Semi-Supervised Joint Learning for Hand Gesture Recognition from a Single Color Image
Sensors, 2021 Hand gesture recognition and hand pose estimation are two closely correlated tasks. In this paper, we propose a deep-learning based approach which jointly learns an intermediate level shared feature for these two tasks, so that the hand gesture ...
Chi Xu, Yunkai Jiang, Jun Zhou, Yi Liu
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The Gesture Recognition Toolkit [PDF]
, 2017 The Gesture Recognition Toolkit is a cross-platform open-source C++ library designed to make real-time machine learning and gesture recognition more accessible for non-specialists. Emphasis is placed on ease of use, with a consistent, minimalist design that promotes accessibility while supporting flexibility and customization for advanced users.
Gillian, Nicholas, Paradiso, Joseph A.
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