Comparative Analysis to Identify Efficient Technique for Interfacing BCI System

Author:

Keerthi Kumar M,Parameshachari BD,Prabu S,Ullo Silvia liberata

Abstract

Abstract Brain Computer Interfacing (BCI) allows user to control certain devices or objects using human brain. With the availability of various sensors, it is possible to obtain the data from the human brain which controls the physical activities in the brain itself. BCI users can access a system capable of communicating efficiently in a special manner that works based on the brain signals. BCI gives a better platform for physically challenged people to do certain significant functions in their daily routine. The use of brain imaging technologies in BCI helps to enhance the signal quality during the communication among the machines and the human beings. The paper describes some of the research works carried on BCI and its advancements to perform a better communication between the computers and the human brain, by using emerging technologies. This paper also covers the applications, challenges, and future directions of BCI.

Publisher

IOP Publishing

Subject

General Medicine

Reference26 articles.

1. Tongue-Rudder: aglossokinetic-potential-based tongue-machine interface;Nam;IEEE Transactions on Biomedical Engineering,2012

2. An eye-gaze tracking and human computer interface system for people with ALS and other locked-in diseases;Liu;Journal of Medical and Biological Engineering,2012

3. A survey of interactive systems based on brain-computer interfaces;Ferreira;SBC Journal on Interactive Systems,2013

4. Hybrid Brain–Computer interface Techniques for improved Classification Accuracy and increased Number of Commands;Keum-Shik;A Review published,2017

5. Brain-Computer Interface: Past, Present & Future;Arafat,2013

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Optimal Stimulus Properties for Steady-State Visually Evoked Potential Brain–Computer Interfaces: A Scoping Review;Multimodal Technologies and Interaction;2024-01-24

2. Semantic analysis of amazon customer using LSTM;AIP Conference Proceedings;2024

3. Stop Phishing : Master Anti-Phishing Techniques;2022 IEEE North Karnataka Subsection Flagship International Conference (NKCon);2022-11-20

4. Stock Market Prediction Using Deep Learning Algorithm: An Overview;International Conference on Innovative Computing and Communications;2022-09-23

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3