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Back Propagation Classification of EEG for Brain-Computer Interface

Rajashekhar U., Neelappa Anon, Rashmi M. Hullamani, Bhagyamma S., Pavithra P. S., Choodarathnakara A. L.
2021 JNNCE Journal of Engineering and Management  
The diagnosis system presents to classify the Electroencephalogram (EEG) brain signal of patient to distinguish between normal and abnormal which are tumor and epilepsy with better classification accuracy  ...  To design automated classification of EEG signals for the detection of normal and abnormal activities using Wavelet transform and Artificial Neural Network (ANN) Classifier is considered.  ...  Introduction A Brain-Computer interface (BCI) is a one of the communication between human brain and an external device. It is also called neural-control interface, or brain machine interface.  ... 
doi:10.37314/jjem.2020.040208 fatcat:lbn2ayjlgbe6pbockaamclblmm

Brain-Computer Interface Data Classification Based on Support Vector Machine

Jun Zheng, Yujie Zhou
2018 NeuroQuantology  
In this paper, P300 EEG signals are preprocessed to extract the features, at last Support Vector Machine (SVM) is used to classify and recognize the EEG signals, and the brain-computer interface data classification  ...  Brain-computer interface is a kind of communication system which establishes information output pathways that is independent from the common brain information output pathways between the brain and the  ...  EEG signal feature extraction The feature extraction of EEG signals is essentially to reduce the dimensionality of EEG signals, reduce the computational burden on SVM, and increase the discrimination speed  ... 
doi:10.14704/nq.2018.16.6.1584 fatcat:usgqjyhscnenhopxmyrejrwqgi

Technology Development for Unblessed People using BCI: A Survey

Mandeep Kaur, P. Ahmed, M. Qasim Rafiq
2012 International Journal of Computer Applications  
The Brain Computer Interface (BCI) systems enable unblessed people to operate devices and applications through their mental activities.  ...  So in this paper, we present a review on the progress of research efforts and then we analyze the challenges in BCI research and development for unblessed people.  ...  An EEG-based mouse designed for Brain-computer Interface (BCI) system to move a cursor on a computer display. [20] An EEG-based Brain-Computer Interface (BCI) system for on-line controlling the hand movement  ... 
doi:10.5120/4920-7142 fatcat:tp5ymaxvcjaubeg7cvuu2mmfmm

Research on EEG Recognition Algorithm Based on SVM Classifier

Zhang Chao, Zhao Xilu, Pan Su, Yang Yudan
2016 International Journal of Signal Processing, Image Processing and Pattern Recognition  
The EEG brain -machine interface technologies to achieve the human brain and the computer or other human interface devices to communicate and control, it can provide a special kind of information exchange  ...  In this paper, the collection of information preprocessing electroencephalogram (EEG) signals is proposed wavelet packet transform feature extraction method, using SVM classifier, classification based  ...  EEG-Based Brain-Computer Interface System Brain-Computer Interface interpretation is not thinking, it is only able to convert electrical signals into a computer brain can recognize a command, thus achieving  ... 
doi:10.14257/ijsip.2016.9.12.19 fatcat:7a6nz5iwl5d5hensqbf2mfp42i

Signal processing techniques for motor imagery brain computer interface: A review

Swati Aggarwal, Nupur Chugh
2019 Array  
This paper provides a comprehensive review of dominant feature extraction methods and classification algorithms in brain-computer interface for motor imagery tasks.  ...  Motor Imagery Brain Computer Interface (MI-BCI) provides a non-muscular channel for communication to those who are suffering from neuronal disorders.  ...  Feature Extraction [74] Competition Enhancing EEG Signals in Brain Computer Interface Using Wavelet WT SVM BCI III 85.54% Transform [75] Competition Enhancing EEG Signals in Brain Computer Interface Using  ... 
doi:10.1016/j.array.2019.100003 fatcat:tlkzqreshzgfpeusxub3f5h4bq

Brain Wave Recognition of Word Imagination Based on Support Vector Machines

Xiaomin Zhang, Yongping Li, Xushan Peng
2016 TELKOMNIKA (Telecommunication Computing Electronics and Control)  
Brain-computer interface is a kind of new information exchange and control technology, and the key is to give an accurate and timely identification of electrical machine characteristic parameters of thinking  ...  The successful identification of EEG of Chinese words in brain imagination can greatly extend the application scope of BCI, and it plays a role in BCI research.  ...  Y201432724), the Foundation of Zhejiang Science Committee (Grant No. 2014C31160), and the Foundation of Ningbo Science Bureau (Grant No. 2015C10050).  ... 
doi:10.12928/telkomnika.v14i3a.4391 fatcat:hbbvqsnu55dylcucgt7upeobuu

Preliminary Comparative Experiments of Support Vector Machine and Neural Network for EEG-based BCI Mobile Robot Control

Yasushi Bandou, Takuya Hayakawa, Jun Kobayashi
2019 Journal of Robotics, Networking and Artificial Life (JRNAL)  
Brain Computer Interface (BCI) for mobile robot control by means of Support Vector Machine (SVM) and Neural Network (NN).  ...  Keywords Brain computer interface electroencephalography support vector machine neural network mobile robot control A B S T R A C T Here we present experimental results of Electroencephalogram (EEG)-based  ...  INTRODUCTION Brain-Computer Interface (BCI) provides you with a means to convey your intention and volition to a computer on the basis of your brain activity.  ... 
doi:10.2991/jrnal.k.190220.014 fatcat:xwllhikmefalna3lcshv3min6m

Robot Motion Control Using the Emotiv EPOC EEG System

Sandy Akbar Dewangga, Handayani Tjandrasa, Darlis Herumurti
2018 Bulletin of Electrical Engineering and Informatics  
Brain-computer interfaces have been explored for years with the intent of using human thoughts to control mechanical system.  ...  The best model was then used by Brain-Computer Interface (BCI) to classify the EEG signals into robot motion commands to control the robot directly.  ...  INTRODUCTION A brain-computer interface (BCI) system provides a communication between human brain and a computer by interpreting the intention of the brain via EEG signals.The feasibility of the technique  ... 
doi:10.11591/eei.v7i2.678 fatcat:p6icljlwunbvpcvdoajhtnyute

A Comparative Study between De-noising Algorithms for Non-Invasive Brain Computer Interface Applications

Sabbir Ahmed Sibli, Nuray Jannat, Md. Rumman Rafi, Ahmed Shafkat, Md. Salehin Ferdous Kader
2019 Zenodo  
Brain Computer Interface provides a communication pathway between the machine and the human. Electroencephalogram (EEG) is a non-invasive technique for acquiring human brain signals.  ...  Generally EOG artefacts overlap the frequency of EEG signals very firmly. So the de-noising of these signals is a huge challenge to develop Brain Computer Interface based applications.  ...  INTRODUCTION Brain-computer interface (BCI), also known as neural-control interface (NCI) or brain-machine interface (BMI), refers to a human-machine interaction path via brain signals.  ... 
doi:10.5281/zenodo.3590180 fatcat:pju7wpwzt5d4rpqg6gd3gpbzeu

Enhancing EEG Signals in Brain Computer Interface Using Wavelet Transform

Eltaf Mohamed
2014 International Journal of Information and Electronics Engineering  
Index Terms-Brain computer interface, EEG, wavelet transform, bayes net, SVM, and RBFN.  ...  Brain-computer interface (BCI) is a hardware and software communication system that enables humans to interact with their surrounding without the involvement of peripheral nerves and muscles by using control  ...  ACKNOWLEDGMENT The author would like to thank Universiti Teknologi PETRONAS for funding this research project under Graduate Assistantship Scheme.  ... 
doi:10.7763/ijiee.2014.v4.440 fatcat:xtacohmldbfelpmfglf2ejdxki

A P300-Based BCI Classification Algorithm Using Least Square Support Vector Machine

Vanitha Narayan Raju, In-Ho Ra, Ravi Sankar
2015 International Journal of Software Engineering and Its Applications  
In this paper, we propose a classification algorithm for P300-based Brain Computer Interface (BCI).  ...  The main goal of the proposed research is to develop classification algorithms for P300-based Brian Computer Interface (BCI).  ...  This research was partially supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (2013054460).  ... 
doi:10.14257/ijseia.2015.9.5.23 fatcat:5mwp4dhvpbeqvj24mfb3q35qim

Statistical Feature Extraction and Classification using Machine Learning Techniques in Brain-Computer Interface

Brain Computer Interface is a paralyzed system. This system is used for direct communication between brain nerves and computer devices.  ...  BCI is an imagery movement of the patients who are all unable to communicate with the people. In EEG signals feature extraction plays an important role.  ...  Techniques in Brain-Computer Interface has de-noised the signal using PCM and signals are extracted using Discrete [9]rier Transform (DFT) and classified the signal using SVM Algorithm.A.  ... 
doi:10.35940/ijitee.k2343.019320 fatcat:bqqez3j2e5ghxbfxhshdwcucli

A Review On Classification Of Eeg Signal Data

Pratibha Rana*, Ms. Jyotsna Singh
2016 Zenodo  
In this paper we review some of the classification techniques for first type of brain computing interface.  ...  EEG signal response.  ...  Because of reasons like this almost all the systems of Brain computing interface reported till date have been based on the EEG signals where non-invasive techniques can be applied. [189] SIGNAL ACQUISTION  ... 
doi:10.5281/zenodo.51018 fatcat:xdnhrijgoban7dzcbqry3hkwti

Guest Editorial: Current Trends in Cognitive Science and Brain Computing Research and Applications

Varun Bajaj, G R Sinha, Siuly Siuly, Abdulkadir Şengur
2020 Electronics Letters  
the research in the area of the cognitive ability of the human brain using biomedical signal analysis; and study of application of brain computer interface (BCI) research.  ...  (EEG), being used for the interpretation of brain status.  ...  the research in the area of the cognitive ability of the human brain using biomedical signal analysis; and study of application of brain computer interface (BCI) research.  ... 
doi:10.1049/el.2020.2790 fatcat:tyub3uxoyngivddcg7f6esce4y

Motor imagery classification in Brain computer interface (BCI) based on EEG signal by using machine learning technique

N. E. Md Isa, A. Amir, M. Z. Ilyas, M. S. Razalli
2019 Bulletin of Electrical Engineering and Informatics  
This paper focuses on classification of motor imagery in Brain Computer Interface (BCI) by using classifiers from machine learning technique.  ...  The Fast Fourier Transform (FFT) features is extracted from the electroencephalography (EEG) signals to transform the signals into frequency domain.  ...  ACKNOWLEDGEMENTS The Dataset 1 of BCI Competition IV is provided by Berlin BCI group (Germany).  ... 
doi:10.11591/eei.v8i1.1402 fatcat:wuc74ooibfavhnxwatpsm72cmm
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