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Sensor Based Dynamic Hand Gesture Recognition by PairNet
2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), 2019This paper presents a novel feedforward neural network for sensor-based dynamic hand gesture recognition. The algorithm, termed PairNet, is capable of carrying out accurate gesture spotting for the sensory data produced by basic accelerators and gyroscopes, which are commonly deployed in internet of things devices.
Yun-Jie Jhang +5 more
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An Approach to Dynamic Gesture Recognition for Real-Time Interaction
2009Recently, the new Human Computer Interactive (HCI) technologies such as gesture recognition have drawn extensive attention, which have been extended to such field as the interaction between human and machine. In this paper, the critical technology about the gesture recognition is discussed, a method to locate human hand in high speed is proposed, based
Jinli Zhao, Tianding Chen
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Dynamic Hand Gesture Recognition Using Centroid Tracking
2015In many dynamic hand gesture recognition contexts, time information is not adequately used. The extracted features of dynamic gestures usually do not carry explicit information about time in gesture classification. This results in under-utilized data for more important accurate classification.
Prashan Premaratne +3 more
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A Semi-Dynamic Bayesian Network for human gesture recognition
2008 IEEE International Conference on Systems, Man and Cybernetics, 2008Many methods for human gesture recognition have been researched. Bayesian network (BN) and dynamic Bayesian network (DBN) are representative powerful tools for the gesture recognition. However, conventional BN is not appropriate in sequential data, and conventional DBN does not always guarantee that a sequence has relatively higher probability in a ...
Myung-Cheol Roh, Seong-Whan Lee
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Dynamic Hand Gesture Recognition
2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC), 2022Subash Chandra Bose Jaganathan +5 more
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Nonlinear Dynamical System Analysis for Continuous Gesture Recognition
2019Extracting applicable features from continuous gesture is uneasy since it shows up as a nonlinear dynamic system with a spatial–temporal pattern. This paper introduces a continuous gesture recognition framework that analyzes, models, and classifies the nonlinear dynamics of gestures based on chaotic theory.
Wenjun Hou, Guangyu Feng
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FSSGR: Feature Selection System to Dynamic Gesture Recognition
2015Dynamic gesture recognition systems based on computer vision techniques have been frequently used in some fields such as medical, games and sign language. Usually, these systems have a time execution problem caused by the elevated number of features or attributes extracted for gesture classification.
Diego G. S. Santos +3 more
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Multi-model ensemble gesture recognition network for high-accuracy dynamic hand gesture recognition
Journal of Ambient Intelligence and Humanized Computing, 2022Adam A. Q. Mohammed +3 more
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Dynamic Hand Gesture Recognition Based on 3D Hand Pose Estimation for Human–Robot Interaction
IEEE Sensors Journal, 2022Qing Gao, Yongquan Chen, Zhaojie Ju
exaly
Multimodal Spatiotemporal Feature Map for Dynamic Gesture Recognition
Computer Systems Science and Engineering, 2023Xiaorui Zhang +4 more
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