Feature Extraction and Classification of Surface EMG Signals for Robotic Hand Simulation

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...

Automated Classification of L/R Hand Movement EEG Signals using Advanced Feature Extraction and Machine Learning

In this paper, we propose an automated computer platform for the purpose of classifying Electroencephalography (EEG) signals associated with left and right hand movements using a hybrid system that uses advanced feature extraction techniques and machine learning algorithms. It is known that EEG represents the brain activity by the electrical voltage fluctuations along the scalp, and Brain-Compu...

EMG Controlled Hand Prosthesis: EMG Classification System

Since the 1970s, electromyographic control of a prosthetic device has been attempted in a number of different ways. It was only until recently, that the classification of electromyographic signals was possible through the use of neural networks. With the advent of more advanced techniques like support vector machines this type of control is becoming more realistic. This would initiate a great s...

Feature Extraction techniques for Classification of Emotions in Speech Signals

Automatic speech emotion recognition is a process of recognizing emotions in speech. This has wide applications in the area of phsycatrics help and in robotics’he human computer interaction the challenging area of research. Any effective HCI system has two sections Training and testing. The techniques used in the system are feature extraction and classification. This paper focuses on the brief ...

Low Complexity Feature Extraction for Classification of Harmonic Signals