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Citations Publications citing this paper. The development and usability testing of game-based learning as a medium to introduce zoology to young learners Gustara Sapto Ajie , Mangasi A. Parinita Chate. References Publications referenced by this paper. The dynamic aspect is defined either by the trajectory of the hand, or by a series of hand postures in a sequence of images.
Given the recognized lack of common evaluation databases in the HGR field, a first contribution of this thesis was the collection and public distribution of two databases, containing both one- and two-handed gestures, which part of the results reported here will be based upon. On these databases, we compare two state-of-the-art models for the task of HGR. As a second contribution, we propose a HPR technique based on a new feature extraction.
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- A Real-time Hand Gesture Recognition and Human-Computer Interaction System?
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This method has the advantage of being faster than conventional methods while yielding good performances. In addition, we provide comparison results of this method with other state-of-the-art technique. Finally, the most important contribution of this thesis lies in the thorough study of the state-of-the-art not only in HGR and HPR but also more generally in the field of HCI.
Face Detection and Gesture Recognition for Human-Computer Interaction
The first chapter of the thesis provides an extended study of the state-of-the-art. The second chapter of this thesis contributes to HPR. We propose to apply for HPR a technique employed with success for face detection. Hand gesture detection and recognition using principal component analysis.
De Castro Fernandez, R. Rojas, Dong, G.
Yan and M. Xie, Vision-based hand gesture recognition for human-vehicle interaction. Citeseer, 1: Wang, J. Cheng and H. Lu, A real-time hand gesture recognition method. Garg, P.
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Computer Vision Based Human-Computer Interaction
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Bhuiyan, Y. Shirai and H. Ueno, Real-time vision-based gesture recognition for human robot interaction. Khanale, P. Chitnis, Handwritten devanagiri character recognition using artificial neural network. Fellner, Interaction with hand gesture for a back-projection wall. Kurtenbach, G. Hulteen, Gestures in Human-Computer Communication.
Hand Gesture Recognition System for Human-Computer Interaction with W…
Hong, A hand gesture recognition system based on difference image entropy. Lekutai, G. Adaptive self-tuning neuro wavelet network controllers. Electrical Engineering Department.
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