Description: 有关手势识别综述文章
1.基于视觉手势识别的研究_综述
2.基于手势识别的人机交互发展研究
3.手势识别技术综述
4.手势识别研究概述-Review article on the gesture recognition 1. Based on visual gesture recognition research _ Summary 2. Based on Gesture Recognition Development Study of Human-Computer Interaction 3. Gesture Recognition Technology 4. Gesture recognition research overview Platform: |
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Author:hazehui |
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Description: HMM的c实现,对理解HMM很有用,尤其是动态手势识别中,手运动的建模基本都基于H-HMM of c realization of HMM is useful for understanding, especially in the dynamic gesture recognition, hand movements are based on modeling the basic H Platform: |
Size: 8192 |
Author:wdx |
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Description: c++写的用于手势识别的源码,根据论文《Orientation Histograms for Hand Gesture》实现的算法。-c++ written in the source used for gesture recognition, in accordance with thesis " Orientation Histograms for Hand Gesture" implementation of the algorithm. Platform: |
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Author:hhj |
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Description: 本程序基于 BP 神经网络完成了对用户使用鼠标输入的特定手势的识别,并且可以学习
用户创建的新手势。程序中已经存储的手势是 Palm 系列掌上电脑中手写识别专用的
Graffiti 字体的数字 0~9,这种字体的特点是每个字由一个连续笔划构成,适合用一个连贯的鼠标手势表示: -This procedure based on BP neural network was completed using the mouse to the user input of a specific gesture recognition, and users can learn to create new gestures. Procedures have been stored in the Palm series of hand gestures is a computer dedicated Graffiti handwriting recognition digital fonts 0 to 9, the font of each word is characterized by a continuous strokes by the composition, for consistency with a mouse gesture, said: Platform: |
Size: 296960 |
Author:郑强 |
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Description: 此程序基于Visual c++开发平台,实现了手部姿势的识别功能-This procedure based on the Visual c++ development platform, to achieve a hand posture recognition Platform: |
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Author:彭秋 |
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Description: bp人工神经网络模式识别教程示例,研究人脸识别 手势识别有帮助-bp nervel network trainning and recognition ,e.g:face & dynamic hand gesture detection and face recognition .I hope it would be very useful for researcher ! Platform: |
Size: 44032 |
Author:于鱼 |
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Description: 实验室用的人手图片,可以用来进行特征提取和手势识别,size较小-the hand gesture image,can be used in feature extraction and recognition. Platform: |
Size: 3325952 |
Author:xutao |
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Description: 自己用opencv写的手势识别的软件。界面简单点,用动态前景分割肤色模型和直方图反演分割手部区域,然后用模式识别方法搞定识别问题。绝对原创,以后可能再也不搞这方面了,传上来跟大家分享-Own use opencv gesture recognition software to write. Interface simply, skin color model with dynamic foreground segmentation and histogram segmentation of hand inversion region, and then use pattern recognition methods get recognition. Absolutely original, since this may no longer engage in, and pass up sharing with you Platform: |
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Author:yang |
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Description: 提出丁一种在距离空间内采用Euclidean距离计算的手势识别算法。手势图像经过连缘检羽后,时边缘图像卖施Euclidean
距离变换(ElYr)。在距离变换空间^计算距离映射图与样本之间的Euclidean距离。罩后,时基于单目税觉的30十手
指语牟母手势进行识刺.最好识剐率达93.33%。-Abstract:A Hand C,estme re曲印id叩aI孚嘶tll皿is presented, which based ofl Euclidean distance, computed in the spa∞of Euclidean.
After the edge examing,Euclidean Distance Transform(E册)is implemented,eldeulates the i1『-inimum Euclidean distance between
the images.Finally,the recognition of 30 letter gestures is performed by computing distance.11le best reeo管fifion rate of
93.33%is achieved. Platform: |
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Author:Decheng Yu |
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Description: Hand Gesture Recognition
NOTES:
1) For the details of the algorithm investigate the following images:
-AlgorithmOverall.jpg
-MKRoDAlgorithm.jpg
2) The prototype is implemented on MATLAB 7.0 and revised in MATLAB 7.10.0
3) The backgrounds of input images have to be purely ‘black’ and the details of the content(palms, fingers) must be clear for accurate recognition of the ASL.
4) A reduced ASL dataset is used. The dataset contains the following ASL gestures: "b,c,h,i,o,l,y".
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Use execHGR.m inside the Project folder in order to execute the program.
I hope you will enjoy it.-Hand Gesture Recognition
NOTES:
1) For the details of the algorithm investigate the following images:
-AlgorithmOverall.jpg
-MKRoDAlgorithm.jpg
2) The prototype is implemented on MATLAB 7.0 and revised in MATLAB 7.10.0
3) The backgrounds of input images have to be purely ‘black’ and the details of the content(palms, fingers) must be clear for accurate recognition of the ASL.
4) A reduced ASL dataset is used. The dataset contains the following ASL gestures: "b,c,h,i,o,l,y".
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Use execHGR.m inside the Project folder in order to execute the program.
I hope you will enjoy it. Platform: |
Size: 374784 |
Author:hooman |
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Description: Pattern recognition and Gesture recognition are the growing fields of research. Being a significant part in non verbal communication hand gestures are playing vital role in our daily life. Hand Gesture recognition system provides us an innovative,
natural, user friendly way of interaction with the computer which is more familiar to the human beings.
Its main steps are discussed in the following:
Image Segmentation
Orientation Detection
Features extraction
Thumb detection:
Finger region detection:
Euclidean distance:
Classification and bits generation Platform: |
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Author:ahmed |
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