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k- NN based Object Recognition System using Brain Computer Interface

by Anupama H S, Cauvery N K, Lingaraju G M
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 120 - Number 2
Year of Publication: 2015
Authors: Anupama H S, Cauvery N K, Lingaraju G M
10.5120/21202-3878

Anupama H S, Cauvery N K, Lingaraju G M . k- NN based Object Recognition System using Brain Computer Interface. International Journal of Computer Applications. 120, 2 ( June 2015), 35-38. DOI=10.5120/21202-3878

@article{ 10.5120/21202-3878,
author = { Anupama H S, Cauvery N K, Lingaraju G M },
title = { k- NN based Object Recognition System using Brain Computer Interface },
journal = { International Journal of Computer Applications },
issue_date = { June 2015 },
volume = { 120 },
number = { 2 },
month = { June },
year = { 2015 },
issn = { 0975-8887 },
pages = { 35-38 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume120/number2/21202-3878/ },
doi = { 10.5120/21202-3878 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:05:13.418171+05:30
%A Anupama H S
%A Cauvery N K
%A Lingaraju G M
%T k- NN based Object Recognition System using Brain Computer Interface
%J International Journal of Computer Applications
%@ 0975-8887
%V 120
%N 2
%P 35-38
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Brain Computer Interface is a device which provides the communication between the human brain and the computer. This paper provides an idea of object recognition system using Principal Component Analysis (PCA) and Singular Value Decomposition (SVD). This is used to recognize the object by analyzing EEG signals in real time. K-Nearest Neighbors algorithm is implemented to classify the intended object. Multiple training sets and users are taken into account during the experiment and the efficiency of the algorithm is calculated.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Brain Computer Interface Invasive and Non-Invasive Electroencephalography (EEG) Emotive epoc K-Nearest Neighbors Object recognition

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