Introducing a New Multi-Wavelet Function Suitable for sEMG Signal to Identify Hand Motion Commands

机译：推出适用于sEMG信号的新多小波函数以识别手部运动命令

获取原文

页面导航

摘要
著录项
相似文献
相关主题

摘要

In recent years, electromyogram signal (EMG) feature selection, based on wavelet transform, has received considerable attention. This study introduces a new multi- wavelet function for surface EMG (sEMG) signal intended for tasks that involve hand movemen

机译：近年来，基于小波变换的肌电信号（EMG）特征选择受到了广泛的关注。这项研究为表面肌电（sEMG）信号引入了一种新的多小波函数，旨在用于涉及手运动的任务

著录项

来源
《Engineering in Medicine and Biology Society, 2007 Annual International Conference of the IEEE》|2007年|P.1924-1927|共4页
会议地点 Lyon,France
作者
Khezri; M.; Jahed; M.;
展开▼
作者单位

展开▼
会议组织
原文格式 PDF
正文语种
中图分类
关键词
biomechanics; electromyography; medical signal processing; pattern recognition; wavelet transforms; EMG signal; electromyogram signal feature selection; hand motion; hand movement recognition; local extrema; multiwavelet function; pattern recognition; wavelet transf;

机译：生物力学肌电图医疗信号处理；模式识别;小波变换肌电信号;肌电信号特征选择；手势手部动作识别；局部极值多小波函数模式识别;小波变换;

相似文献

外文文献
中文文献
专利

1. sEMG-Based Identification of Hand Motion Commands Using Wavelet Neural Network Combined With Discrete Wavelet Transform [J] . Duan Feng, Dai Lili, Chang Wennan, Industrial Electronics, IEEE Transactions on . 2016,第3期

机译：小波神经网络结合离散小波变换的基于sEMG的手势识别
2. A Neuro–Fuzzy Inference System for sEMG-Based Identification of Hand Motion Commands [J] . Khezri M., Jahed M. Industrial Electronics, IEEE Transactions on . 2011,第5期

机译：用于基于sEMG的手势识别的神经模糊推理系统
3. Performance analysis of DWT and FMH in classifying hand motions using sEMG signals [J] . Chopra Parul, Agarwal Shivangi, Rani Asha, Journal of intelligent & fuzzy systems: Applications in Engineering and Technology . 2019,第3期

机译：使用SEMG信号对DWT和FMH进行DWT和FMH的性能分析
4. Introducing a New Multi-Wavelet Function Suitable for sEMG Signal to Identify Hand Motion Commands [C] . Khezri M., Jahed M. Annual International Conference of the IEEE Engineering in Medicine and Biology Society . 2007

机译：介绍适用于SEMG信号的新型多小波功能，以识别手动运动命令
5. Optimized surface electromyogram (sEMG) signal processing and system identification for smart prosthetic hand control. [D] . Sebastian, Anish. 2012

机译：优化的表面肌电图（sEMG）信号处理和系统识别，可实现智能假肢手控制。
6. Evaluation of multi-class support-vector machines strategies and kernel adjustment levels in hand posture recognition by analyzing sEMG signals acquired from a wearable device [O] . Thays Falcari, Osamu Saotome, Ricardo Pires, 2020

机译：通过分析从可佩戴装置获取的SEMG信号来评估多级支持矢量机器策略和内核调整水平
7. Experimental Considerations on Signal Feature and Kernel/Prameters of SVM in Hand Motion Classification from sEMG [O] . Daisuke INUI, Satoshi ITO, Minoru SASAKI 2013

机译：SEMG手动运动分类信号特征和核/参数的实验考虑因素
8. Development of a suitable survey instrument to identify causes behind high turnover rates within the 0301 series in the communications electronics command. [R] . Orjih, A. U., Fleuranges, S. M. 2017

机译：开发一种合适的调查工具，以确定通信电子指令中0301系列内高周转率背后的原因。

Introducing a New Multi-Wavelet Function Suitable for sEMG Signal to Identify Hand Motion Commands

摘要

著录项

相似文献

相关主题

期刊订阅