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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 ...
Di Wu 0009, Ling Shao 0001
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Recognition of dynamic hand gestures
Pattern Recognition, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Aditya Ramamoorthy +3 more
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2005 IEEE Instrumentationand Measurement Technology Conference Proceedings, 2006
In this paper we introduce our method for enabling dynamic gesture recognition for hand gestures. Like a number of other research work focusing on gesture recognition we use a camera to track the motions and interpret these in terms of actual meaningful gestures; however we emphasise the tracking of fingers as well as the hand in order to cover a much ...
C. Joslin +3 more
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In this paper we introduce our method for enabling dynamic gesture recognition for hand gestures. Like a number of other research work focusing on gesture recognition we use a camera to track the motions and interpret these in terms of actual meaningful gestures; however we emphasise the tracking of fingers as well as the hand in order to cover a much ...
C. Joslin +3 more
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A Dynamic Gesture and Posture Recognition System
Journal of Intelligent & Robotic Systems, 2013This paper presents a real time dynamic hand gesture and posture recognition system based on a neural network and a Hidden Markov Model. For skin color segmentation an adaptive online trained skin color model is used, while the hand posture recognition is accomplished through a likelihood-based classification technique of geometric features.
Kyriakos Sgouropoulos +2 more
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Gesture Recognition using Dynamic Time Warping
2020 IEEE 29th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE), 2020This 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 +2 more
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Dynamic Bayesian networks for visual recognition of dynamic gestures
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology, 2002Summary: 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.
Héctor Hugo Avilés-Arriaga +1 more
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Selective spatiotemporal features learning for dynamic gesture recognition
Expert Systems with Applications, 2021Abstract Gesture recognition, which aims to understand meaningful movements of human bodies, plays an essential role in human–computer interaction. The key to gesture recognition is to learn compact and effective spatiotemporal information. However, it remains a challenging task due to the barriers of gesture-irrelevant factors.
Xianlun Tang +5 more
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Dynamic hand gesture recognition
2016 International Conference on Signal and Information Processing (IConSIP), 2016Recognition 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 +1 more
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Dynamic Hand Gesture Recognition Framework
2014Sign 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 +3 more
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Heterogeneous hand gesture recognition using 3D dynamic skeletal data
Computer Vision and Image Understanding, 2019 International audienceHand gestures are the most natural and intuitive non-verbal communication medium while interacting with a computer, and related research efforts have recently boosted interest.
Quentin De Smedt +1 more
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