EMG Controlled Automated System

Abstract

In this project, the Electromyogram (EMG) response is fed to control an automation system which is obtained from human arm response. The raw EMG signal is obtained from that part of the human muscle where the vibration generates responses within a suitable voltage range. This is fed to the automation system by proper conversion and filtering circuits to obtain the necessary pulse required to control the automated system. The raw EMG signal obtained in the range of few mV is amplified for further processing. To keep the response in the operating range we set the frequency bandwidth of a standard EMG response. For obtaining the EMG signals, surface electrode method is widely popular as it is non invasive and it can be conducted without any medical supervision. In this paper we are introducing an automated system which is controlled by the Electromyogram signal generated by contraction and relaxation of muscles, fed to the system wirelessly using a RF module, processed using Arduino

Authors and Affiliations

Arnab Bordoloi, Samujjwal Paitya

Keywords

.

Related Articles

Effective calculation of Cloud Attenuation on Satellite Communication Systems in Nigeria based on Cloud Type

This project aims at analyzing the attenuation due to clouds at 20-50GHz; to generate an accurate prediction model of cloud attenuation efficient for slant-path links and also evaluate the impact of cloud attenuationdyna...

The Selection Method of Skelton of the Objects Based On a Cellular Automation for an Efficient Description of theImage

The paper presents a method for the effective selection of the skeleton of local objects in complex images with the use of cellular automata. The method allows to sequentially selecting local objects as well as their ske...

Collaborative Spectrum Sensing with Reporting Based on OFDM

In this paper, we present a collaborative spectrum sensing that employs an orthogonal frequency division multiplexing (OFDM) to report the binary local spectrum sensing decisions to a cognitive base station (CBS) where t...

A Sub-Optimum Feature Selection Algorithm for Effective Breast Cancer Detection Based On Particle Swarm Optimization

Breast cancer (BC) disease is considered as a leading cause of death among women in the whole world. However, the early detection and accurate diagnosis of BC can ensure a long survival of the patients which brought new...

Design of Substrate IntegratedWaveguide Power Divider and Parameter optimization using Neural Network

Motivated by the key technology Substrate Integrated Waveguide (SIW) and an effective approach of Artificial Intelligence (AI), this paper aims at the design of an SIW based power divider for low return loss using Artifi...

Download PDF file
  • EP ID EP439097
  • DOI 10.9790/2834-1303011618.
  • Views 140
  • Downloads 0

How To Cite

Arnab Bordoloi, Samujjwal Paitya (2018). EMG Controlled Automated System. IOSR Journal of Electronics and Communication Engineering(IOSR-JECE), 13(3), 16-18. https://europub.co.uk/articles/-A-439097