A Neuro-Fuzzy Control System Based on Feature Extraction of Surface Electromyogram Signal for Solar-Powered Wheelchair
نویسندگان
چکیده
منابع مشابه
Wavelet Based Feature Extraction of Electromyogram Signal for Denoising
Electrical signals recorded from muscles require processing before its use, so the modeling of these bioelectric signals is necessary. Wavelets are used for the processing of signals that are non-stationary and time varying. The surface Electromyogram signals were estimated with following steps, first, the obtained signal was decomposed using wavelet transform; then, decomposed coefficients wer...
متن کاملdesigning unmanned aerial vehicle based on neuro-fuzzy systems
در این پایان نامه، کنترل نرو-فازی در پرنده هدایت پذیر از دور (پهپاد) استفاده شده است ابتدا در روش پیشنهادی اول، کنترل کننده نرو-فازی توسط مجموعه اطلاعات یک کنترل کننده pid به صورت off-line آموزش دیده است و در روش دوم یک کنترل کننده نرو-فازی on-line مبتنی بر شناسایی سیستم توسط شبکه عصبی rbf پیشنهاد شده است. سپس کاربرد این کنترل کننده در پهپاد بررسی شده است و مقایسه ای ما بین کنترل کننده های معمو...
Comparative Analysis of Wavelet-based Feature Extraction for Intramuscular EMG Signal Decomposition
Background: Electromyographic (EMG) signal decomposition is the process by which an EMG signal is decomposed into its constituent motor unit potential trains (MUPTs). A major step in EMG decomposition is feature extraction in which each detected motor unit potential (MUP) is represented by a feature vector. As with any other pattern recognition system, feature extraction has a significant impac...
متن کاملFeature Selection Based On Neuro-Fuzzy-Rough System
Rough Sets theory provides a new mathematical tool to deal with uncertainty, inexact and vagueness of an information system. The information system may contain a certain amount of redundancy that will not aid knowledge discovery and may in fact mislead the process. The redundant attributes may be eliminated in order to reduce the complexity of the problem. This paper proposes Neuro-Fuzzy-Rough ...
متن کاملUnsupervised feature extraction using neuro-fuzzy approach
The present article demonstrates a way of formulating a neuro-fuzzy approach for feature extraction under unsupervised training. A fuzzy feature evaluation index for a set of features is newly de8ned in terms of degree of similarity between two patterns in both the original and transformed feature spaces. A concept of 9exible membership function incorporating weighted distance is introduced for...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Cognitive Computation
سال: 2016
ISSN: 1866-9956,1866-9964
DOI: 10.1007/s12559-016-9398-4