EMG Controlled Automated System
Journal Title: IOSR Journal of Electronics and Communication Engineering(IOSR-JECE) - Year 2018, Vol 13, Issue 3
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
Design of Compact UWB Microstrip Antenna Using DoubleLayer 2D Periodic Structure
This paper describes a compact ultra-wideband (UWB) antenna designed on a low-cost FR4 substrate using planar-patterned metamaterial concepts. The proposed antenna incorporates two components of metamaterial structure ma...
A Reversible Data Hiding with Contrast Enhancement of Digital Image
Existing image-based Reversible Data Hiding (RDH) methods tend to focus on increasing embedding capacity, but few consider keeping or improving visual image quality. A new RDH method with contrast enhancement (RDH-CE) is...
Supervised Method for Face Photo Sketch Synthesis and Recognition
Facial Sketches are most widely used in law enforcement agencies for identification and apprehension of suspects, which may involve in several criminal activities. In this paper we plan to implement an efficient system t...
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...
A Bird’s Eye View on Current Scenario of Content Based Image Retrieval Systems
The advancement in technology such as digital imaging, data storage and widespread use of internet has resulted in the explosion of the collection of images which has motivated the creation of an efficient image retrieva...