Volume 7, Issue 1 (January 2020), Pages: 79-86

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 Original Research Paper

 Title: EEG object recognition: Studies for criminal investigation and neuro-applications in social care

 Author(s): Alexandru Constantin, Nirvana Popescu, Decebal Popescu, Bogdan Tiganoaia *, Olivia Doina Negoita, Andrei Niculescu

 Affiliation(s):

 Entrepreneurship and Management Department, Faculty of Entrepreneurship, Business Engineering and Management, Politehnica University of Bucharest, Romania

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 * Corresponding Author. 

  Corresponding author's ORCID profile: https://orcid.org/0000-0002-7251-9165

 Digital Object Identifier: 

 https://doi.org/10.21833/ijaas.2020.01.008

 Abstract:

This paper describes the research endeavor aiming to design a brainwave processor and a sustainable machine learning model capable together of supplying an online informed guess of what a subject is seeing at a certain moment in time, using solely voltage data provided by scalp mounted electrodes (EEG signals). Brain activity processing is not a new topic: extensive research has been conducted over the last 50 years. However, the proposed solution brings novelty by its way of approaching the whole strategy, the greatest achievement of this research consisting of devising a composite brainwave processing–machine learning method capable to some extent of real-time detection of outstanding objects a person is viewing. Using, among others, preprocessing methods like DC offset removal, notch filtering, bandpass filtering, detrending, resampling and classifiers like SVM, neural networks, AdaBoost, nearest neighbors, an online prediction accuracy of 100% was obtained for a set of six colors and an offline prediction accuracy of 83.3% for a set of five scenes, for a single subject. The results of the study can be applied to the fields of neuro management and neuromarketing and other domains, a couple of possible scenarios being presented. 

 © 2019 The Authors. Published by IASE.

 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

 Keywords: EEG pattern recognition, Classification, Openbci, Scikit-learn, Sustainability, Neuro management, Criminal investigation

 Article History: Received 20 June 2019, Received in revised form 8 November 2019, Accepted 11 November 2019

 Acknowledgment:

No Acknowledgment.

 Funding:

Financially supporting body(s): This work has been funded by University Politehnica of Bucharest, through the “ARUT Grants” Program, UPB–GNaC. Identifier: GNaC 2018, Contract: 16/06.02.2019-RM-CYBERSEC-Risk management at the organization and individual level in the context of cyber security.

 Compliance with ethical standards

 Conflict of interest:  The authors declare that they have no conflict of interest.

 Citation:

 Constantin A, Popescu N, and Popescu D et al. (2020). EEG object recognition: Studies for criminal investigation and neuro-applications in social care. International Journal of Advanced and Applied Sciences, 7(1): 79-86

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 Figures

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 Tables

 No Table

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