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基于HMM的姿势识别 matlab
- 基于HMM的姿势识别，有测试数据，值得参考
Mouse-gestures-recognition
- 基于点轨迹的手势识别.鼠标右键点击开始记录鼠标轨迹,基于记录的轨迹,利用神经网络算法进行识别.-Trajectory based on the point of gesture recognition. By right-clicking the mouse to start recording the track, based on track record, the use of neural network algorithm to identify.
RecognizeItv3.0
- BP神经网络进行识别鼠标手势，用VC6.0开发-BP neural network to identify the mouse gestures, with VC6.0 Development
visualgestures-1.0-alpha1.tar
- 基于Hu矩和支持向量机手完整性检测算法及应用.手势识别-Based on Hu Moments and Support Vector Machine hands detection algorithm and application integrity. Gesture Recognition
xiaoyouxidaima
- 手势分类器设计,很好很强大，太强大了，真的-Gesture classifier design, very good very strong, too strong, and true
Recog
- 一个手势识别程序，使用有监督的神经网络实现，用户可以在窗口区域内用鼠标模拟手势，程序可以自动识别，而且可以自定义手势-a gesture recognition program based on Neural Network,the gestrue can be simulated by mouse move, furthermore, you can also define the gesture by yourself
shenjingwangluo
- 基于神经网络的手势识别，神经网络的权重可以通过梯度下降法来学习，识别算法对上，下，合并，停止四种姿势进行识别，效果很好。-Gesture recognition based on neural network, neural network weights by gradient descent method to study, identify the algorithm to the upper and lower, merge, stop four kinds of gestures to
BaseInBP
- 基于 BP 神经网络的鼠标手势识别实验程序-BP neural network based on the mouse gesture recognition test procedures
RecognizeIt-v4.0-(softmax)
- 基于神经网络的手势识别程序 手写输入原理的演示-Gesture Recognition Based on Neural Network program demonstrates the principle of handwriting input
gesture-recognition
- 出并设计了基于计算机视觉的手势识别系统。采用双肤色模型和背景自适应模型进行手势分割，解决纷乱背景 下实时手势分割问题。以傅里叶描述于表缸E手势轮廓，基于BP网络建立的手势识别分类器，具有较强的自学习能力，提高了 识别率。-A hand gesture recogll主ti。n system which based on∞mputer vision is Prescn}ed in thi3 pape。A method of combinirlg double c010r-spatial
research-of-gesture-recognition
- 近年来手势识别技术的快速发展，基于手势识别技术的人机交互应用系统的建立使得人机交互的发展前景广阔。从 手形、手势和手形手势的建模出发，介绍了模板匹配、特征提取、神经网络和隐马尔可夫模型4 种手势识别的方法，并且综述 了基于手势识别技术人机交互的发展，详细介绍了3 类人机交互系统：漫游型系统、编辑型系统和操作型系统。-The rapid progress of techniques in hand posture and gesture recognition provides a pro
Gesture-recognition
- 本实验中对手势识别的方法进行研究。采用的主要方法是基于BP神经网络的静态手势识别。 包含实验结果和实验报告。-In this study, the method of gesture recognition research. The main method is based on BP neural network static gesture recognition. Contains experimental results and test reports.
RecognizeIt-v1.0(js)
- Javascr ipt 人工神经网络版 鼠标手势识别-Javascr ipt artificial neural network version of mouse gesture recognition
duoquanzhishengjingwangluo
- 应用多权值神经网络方法对静态手势进行识别, 对手势字母图像采用傅里叶描述子提取特征信息, 取低频信息成分构建成犯维特征向量, 并应用多权值神经网络的算法, 构建各类的神经元网络-W ith th e develo Pm en t of hu m an eom p uter intera etion te ehn olo盯, th e h as been b ased on an im P o rt a n t tas k fo r U r o n s diseu ssion
opencv
- 基于openCV的手势识别。用于KINECT的简单手势识别。-OpenCV-based gesture recognition
mouse-gesture-recognition
- 有监督方法训练BP神经网络，实现鼠标手势识别-BP Nutronetwork for mouse pose indentify
GestureApp
- 利用前向多层人工神经网络实现鼠标姿势识别。-Feedforward multilayer neural network and mouse gesture recognition
bb-playbook-gesture-operation
- 黑莓平板电脑playbook手势操作说明-Blackberry Tablet PC playbook gesture instructions
Gesture
- 基于神经网络的鼠标手势识别算法及代码, 包括一份 PDF 论文.-A mouse gesture recognition algorithm based on neural network.
gesture
- 基于kinect的手势识别程序，能够识别出左右手的挥动。-Kinect-based gesture recognition program can identify the right hand waving.