搜索资源列表
gesture
- 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
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- 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 everyo
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- 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
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
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.
simulink_sEMG_gesturerec
- 利用myo采集肌电信号和角速度信息，实现实时的手势识别-EMG acquisition and use of myo angular velocity information, real-time gesture recognition
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 algori
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
#-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)
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)