搜索资源列表
gesture.rar
- 关于手势识别的一些英文文章，利用表面肌电信号,Gesture recognition on a number of English articles, the use of surface EMG
1
- ELman人工神经网络建模里例子，用于利用表面肌电信号识别自行车蹬踏阶段的识别研究-Elman modelling code which is used for sEMG cycling phase identification. It is of great help for researchers in surface myoelectric signal research.
SEMG
- 《基于模式识别的肌电信号动作分类性能研究》2010最新论文，从CNKI上买来的，现在共享给大家，希望对大家有用，和我课题相关，有这方面的需要可以咨询我。-" EMG Pattern Recognition Based on Classification Performance of Action," 2010 latest paper, bought from CNKI on, now shared to everyone, we want to be useful, and
b
- 基于模式识别的肌电信号动作分类性能研究》2010最新论文，从CNKI上买来的，现在共享给大家，希望对大家有用，-EMG pattern recognition based on the classification performance of action " 2010 latest paper, bought from the CNKI on, now for everyone to share, we hope to be useful,
dd
- 基于模式识别的肌电信号动作分类性能研究》2010最新论文，从CNKI上买来的，现在共享给大家，希望对大家有用，-EMG pattern recognition based on the classification performance of action " 2010 latest paper, bought from the CNKI on, now for everyone to share, we hope to be useful,
recognizesEMG
- 把肌电信号的特征值提取出来进行人工网络识别-EMGs eigenvalue extracted manual network identification
eemdxiaobo
- 运用eemd和二代小波相结合的方法，来识别肌电信号，从而快速准确的识别了手臂各个动作。-Use eemd and second generation wavelet combined method to identify the EMG signal, which quickly and accurately identify the various movements of the arm.
Augsburg-affective-recognition
- 德国奥格斯堡基于生理信号的情感识别GUI工具箱。包括心电，皮电，呼吸和肌电信号。-Augsburg, Germany-based GUI toolkit emotion recognition of physiological signals. Including ECG, galvanic skin, respiratory and EMG.
EMG-signal-action-recognition
- 便携式肌电信号采集和人体动作识别，使用的飞思卡尔的芯片，文件包含工程和解释性文件-portable EMG signal detection and human action collect, use freescale microchip ,file includes source code and explain files
EMG-pattern-recognition
- 肌电信号模式识别，需要巴特沃斯滤波器，并伴有注释，适合初学者-EMG pattern recognition, we need Butterworth filter
sEMG-signal-pattern-recognize
- 是一篇关于表面肌电信号处理的文章，主要是模式识别方面的。-Is an article about the surface EMG signal processing, pattern recognition is the main area.
lower-limb
- 是一篇关于表面肌电信号处理的文章，主要是下肢sEMG模式识别方面的。-Is an article about the surface EMG signal processing, mainly lower limb sEMG pattern recognition.
offline-sEMG-recognition
- 提取人体手臂肌电信号，手势识别，包括肌电信号的预处理，端点检测，特征提取，特征降维，SVM分类识别-sEMG based hand movements recognition using SVM
surface-EMG-signals
- 基于非线性特征的表面肌电信号模式识别方法,用了球状李雅普洛夫指数和对支持向量机。-Surface EMG Pattern Recognition Based on the nonlinear characteristics, with a spherical Lyapunov exponent and support vector machine.
肌电信号模式识别
- 实现了两种算法，在时域内分别利用肌电信号的过零点数和波长作为特征，并利用高斯重构算法进行模式识别。(Two algorithms are implemented. In the time domain, the zero crossing point and wavelength of the EMG signal are used as the features, and the Gauss reconstruction algorithm is used for pattern recogn
基于视觉与肌电信号的手势识别研究
- 联合视觉与肌电信号进行手术识别研究， 中国科技大学的研究论文。很值得一看(Research on surgical identification combined with visual and EMG signals, a research paper from the University of Science and Technology of China. It's worth seeing.)
sEMG feature extraction
- 提取肌电信号的时域特征，ZC，WAMP，WL，SSC，RMS。以及特征的融合。肌电信号主要是采取了脚踝关节的六个动作。在动作识别中，时域的特征最常用，而且计算复杂度低，包含的信息也充分。(The time domain features of electromyographic signals were extracted, ZC, WAMP, WL, SSC, RMS. And the fusion of features. The electromyographic signal mainl
#-nina-semimyo-master
- 基于肌电信号的手势识别，数据来自开源数据集ninapro(Hand gesture recognition based on electromyography)
手势识别技术数据
- 基于表面肌电信号的手势识别数据，欢迎各位下载使用，欢迎交流。
LabView
- 使用delsys trigno实现肌电信号的在线采集/显示以及根据matlab的BP神经网络模型实现手势识别(Using Delsys trigno to realize the on-line acquisition / display of EMG signal and the BP neural network model of MATLAB to realize gesture recognition)