Brain Computer Interface for Micro-controller Driven Robot Based on Emotiv Sensors
Journal Title: International Journal of Interactive Multimedia and Artificial Intelligence - Year 2017, Vol 4, Issue 5
Abstract
A Brain Computer Interface (BCI) is developed to navigate a micro-controller based robot using Emotiv sensors. The BCI system has a pipeline of 5 stages- signal acquisition, pre-processing, feature extraction, classification and CUDA inter- facing. It shall aid in serving a prototype for physical movement of neurological patients who are unable to control or operate on their muscular movements. All stages of the pipeline are designed to process bodily actions like eye blinks to command navigation of the robot. This prototype works on features learning and classification centric techniques using support vector machine. The suggested pipeline, ensures successful navigation of a robot in four directions in real time with accuracy of 93 percent.
Authors and Affiliations
Parth Gargava, Krishna Asawa
Keywords
Related Articles
- EP ID EP329734
- DOI 10.9781/ijimai.2017.457
- Views 145
- Downloads 0
Electronic Health Record in Bolivia and ICT: A Perspective for Latin America
The emergence of new technologies in society through its application to many areas and very diverse realities is a clear element in the time in which we live. The health sector has been unable to escape this reality and...
A Solution to the N-Queens Problem Using Biogeography-Based Optimization
Biogeography-based Optimization (BBO) is a global optimization algorithm based on population, governed by mathematics of biogeography, and dealing with geographical distribution of biological organisms. The BBO algorithm...
Brain Computer Interface for Micro-controller Driven Robot Based on Emotiv Sensors
A Brain Computer Interface (BCI) is developed to navigate a micro-controller based robot using Emotiv sensors. The BCI system has a pipeline of 5 stages- signal acquisition, pre-processing, feature extraction, classifica...
Simple MoCap System for Home Usage
Nowadays many MoCap systems exist. Generating 3D facial animation of characters is currently realized by using the motion capture data (MoCap data), which is obtained by tracking the facial markers from an actor/actress....
Supporting Multi-agent Coordination and Computational Collective Intelligence in Enterprise 2.0 Platform
In this paper, we propose a novel approach utilizing a professional Social network (Pro Social Network) and a new coordination protocol (CordiNet). Our motivation behind this article is to convince Small and Medium Enter...