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[Mathimatics-Numerical algorithmsC-implement-of-hidden-markov

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 | Hits:

[DocumentsDanceDanceRevolutionWithHandGestureControl

Description: For the recognition of hand gestures, OpenCV and HandVu libraries are used to provide the functions of hand tracking and recognition. When a hand gesture is recognized, the result is sent to the DDR game through a network socket. Then, the DDR game will translate this result into a corresponding key to play the game
Platform: | Size: 225280 | Author: | Hits:

[Industry researchGIUC

Description: Hand Gesture Recognition
Platform: | Size: 532480 | Author: Sanjay | Hits:

[OtherhandGestureRecognition

Description: This the code for hand gesture recognition for tape system.it uses SVM and ANN for classification.-This is the code for hand gesture recognition for tape system.it uses SVM and ANN for classification.
Platform: | Size: 9519104 | Author: Sadiq | Hits:

[Video CaptureHANDRecognition

Description: hand gesture of , classification and recongnition
Platform: | Size: 2065408 | Author: fouad | Hits:

[Software Engineeringhand-gesture-recognition

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: | Size: 2135040 | Author: ahmed | Hits:

[Graph programFingerTip

Description: 基于深度相机的手势识别,利用深度信息设置包围盒分割手,然后使用SVM分类器对训练数据集进行训练。在静态手势测试时,我们先计算测试图像的HOG特征,然后经SVM分类得到测试结果(Based on the gesture recognition of the depth camera, the depth information is used to set the bounding box to divide the hand, and then the training data set is trained by using the SVM classifier. In the static gesture test, we first calculate the HOG features of the test image and then get the test results by the SVM classification)
Platform: | Size: 4458496 | Author: 程序员飞宇 | Hits:

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