搜索资源列表
ActiveModels_version7
- asm模型，用于手势检测识别，matlab 代码，适合初学者应用。-active shape model hand gesture recognition
MINI_PROJECT(5th-Sem)
- Do mouse and key board events using hand gesture
SKSB
- 手控鼠标，通过摄像头识别手的姿势来模拟鼠标操作程序源码，可以完成移动、点击功能。基于VC6.0-Hand control of the mouse, through the camera to identify the hand gesture to simulate mouse operation program source code, you can complete the move, click on the function. Based on VC6.0
hand
- 基于opencv1.0的手势识别程序，支持6种手形，可自己定义，支持识别参数的自由设定，支持参数保存，vc6.0开发-Based on opencv1.0 gesture recognition program, support 6 kinds of hand form, can define your own, support the recognition parameters set free, and support parameters save, vc6.0 development
hg
- 基于HMM的姿势识别，matlab编写，希望对大家有用-HMM based hand gesture recognition，matlab
gesture-system
- 目前已有的手部运动跟踪系统大多在一定程度上限制了人体运动自由. 基于此, 提出一种无线、 可穿戴、 无障碍的腕关节、 指关节运动跟踪系统. 在人体每个手指甲上粘贴一轻小永磁体, 用以产生标示腕关节、指关节运动的信号 若干磁传感器置于手腕处的电子腕带上, 作为标示信号( 磁信号) 检测器. 当腕关节、 指关 节运动时, 永磁体在各传感器所在位置处的合成磁场发生变化, 传感器对该磁场信号进行测量, 所检测到的磁场信号送入手部姿势估计器, 估计器基于系统数学模型计算手部姿势, 从而实现对手部运动的
based-on-opencv-gesture-recogniton
- 手势识别的源代码，利用VC++编程实现的，基于opencv的，识别结果准确度很高-hand recognition
use-BP-gesture-recgnition
- 手势识别的源代码，利用VC++编程实现的，基于opencv的，识别结果准确度很高-hand recognition
10GestureApp_Src
- 手势识别的源代码，利用VC++编程实现的，识别结果准确度很高-hand gesture recognition
matlab
- HOME APPLICATION USING HAND GESTURE USING MATLAB PLATFORM.
avi2images
- 基于opencv 的手势识别,对于不同的音乐可以作出不同的-hand gesture detection in opencv
Study-on-Model-based
- ：虚拟人手操作的逼真性和准确性直接影响到仿真分析结果的可靠性。在虚拟维修作业过程 中虚拟人需要不同的手势对各种工具进行灵活操作，针对该问题提出了从模型中重构手势的思想， 并给出了一种新的关节角提取算法。首先，在人体建模软件中建造需要的目标手势并提取出骨架； 然后用算法对原有手部模型各关节角进行迭代求解，直到该手部模型姿势与目标手势一致，实现对 目标手势的重构。Jack 平台上仿真结果表明，该算法可以快速有效地提取出手部模型的关节-Realistic and accurate vi
hand-
- 利用matlab开发的HSV空间分割的，手势识别程序，效果较好，背景复杂的情况下识别率也很高-Recognition rate is also high in the case of using matlab development of gesture recognition program, the better the background is complex! ! !
OnlinePCA
- 通过在线PCA来识别手势，并能对新增手势做一定的增量，很好的实现了增量学习。算法具有效率高，识别率好，速度快等特点，同样适合其他模式识别方面的应用。-The learning method for hand gesture recognition system based on vision is commonly off-line，which results in repeated off-line learning when new hand gestures come． Its real-
RecognizeKen
- Hand gesture recognition based music and mouse applications
Reconnaissance_formes_main
- documents to help for understanding hand gesture recognition
Recon_formes_main
- documents to undersatnd hand gesture recognition
theses_hgr
- documentation about different projects in research for hand gesture recognition
handgesture
- 手势识别的文档，包括静态手势识别和动态手势识别的硕士学位论文-document of hand gesture
amalthea_tr_2008_01
- Real-time, static and dynamic hand gesture recognition aords users the ability to interact with computers in more natural and intuitive ways. The hand can be used to communicate much more information by itself compared to computer mice, joysticks