research-article

Neural Network Algorithm to Measure the Human Emotion

Authors:

Bogart Yail Márquez,

José Sergio Magdaleno Palencia,

Arnulfo Alanís Garza,

Karina Romero AlvaradoAuthors Info & Claims

ACAI '18: Proceedings of the 2018 International Conference on Algorithms, Computing and Artificial Intelligence

Article No.: 36, Pages 1 - 5

https://doi.org/10.1145/3302425.3302441

Published: 21 December 2018 Publication History

Abstract

This project's main goal, is the creation of a Classification Algorithm to measure an important part of human emotion about what we "do like" and what we "don't like", through an Electroencephalogram test (EEG) to collect, process and classify the bioelectrical signals, using neuronal networks. The resulting algorithm will be applied in Neuromarketing studies.

References

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MONGE-BENITO, S. and V. FERNÁNDEZ-GUERRA, Neuromarketing: Tecnologías, Mercado y Retos. Servicio de Publicaciones de la Universidad Complutense, 2011. 5: p. 19--42.

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DeAndreis, A., Neuromarketing: a look the mind of the consumer. Ad-Gnosis, 2012. 1: p. 51--57.

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Rozenthal, M., J. Laks, and E. Engelhardt, Neuropsychological aspects of depression. Revista de Psiquiatria do Rio Grande do Sul, 2004. 26: p. 204--212.

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Hammou, K.A., M.H. Galib, and J. Melloul, The Contributions of Neuromarketing in Marketing Research. Journal of Management Research 2013. 5: p. 20--33.

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Kong, W., et al., Electronic evaluation for video commercials by impression index. Cognitive Neurodynamics, 2013. 7(6): p. 531--535.

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Vecchiato, G., et al., On the Use of EEG or MEG Brain Imaging Tools in Neuromarketing Research. Computational Intelligence and Neuroscience, 2011. 2011: p. 12.

Digital Library

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Vecchiato, G., et al., Neurophysiological Tools to Investigate Consumer's Gender Differences during the Observation of TV Commercials. Computational and Mathematical Methods in Medicine, 2014. 2014: p. 12.

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Lin, Y.-P., Y.-H. Yang, and T.-P. Jung, Fusion of Electroencephalogram dynamics and musical contents for estimating emotional responses in music listening. Frontiers in Neuroscience, 2014. 8.

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Cîrneci, D., A.V. Angheluţă, and D. Gheorghe, The use of Neuromarketing in the Study of Brand Related Mental Processes. Case Study - Romanian Food Brands. International Journal of Economic Practices and Theories, 2014. 4: p. 331--342.

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{cited 2015; Available from: http://neuromarca.com/neuromarketing/eeg/.

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Breiter, H.C., et al., Redefining Neuromarketing as an Integrated Science of Influence. Frontiers in Human Neuroscience, 2015. 8.

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Kassam, K.S., et al., Identifying Emotions on the Basis of Neural Activation. PLOS ONE, 2013.

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Zadeh, L.A., Fuzzy sets and their applications to cognitive and decision processes: {papers} / edited by Lotfi A. Zadeh ... {et al.}, ed. U.S.-.-J.S.o.F. Sets and U.o.C.B. Their Applications. 1975, New York :: Academic Press.

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Cited By

Fahim IHaramouni LMajdi MElkandoussi F(2024)The Application of AI in NeuromarketingAI and Data Engineering Solutions for Effective Marketing10.4018/979-8-3693-3172-9.ch003(48-68)Online publication date: 28-Jun-2024
https://doi.org/10.4018/979-8-3693-3172-9.ch003
Casas-Frausto AMárquez BJiménez SAlanís A(2021)Deciphering Consumer Behavior Through Emotions Using NeuromarketingProceedings of Sixth International Congress on Information and Communication Technology10.1007/978-981-16-2377-6_53(571-580)Online publication date: 24-Sep-2021
https://doi.org/10.1007/978-981-16-2377-6_53

Index Terms

Neural Network Algorithm to Measure the Human Emotion
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods
      1. Usability testing

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cover image ACM Other conferences

ACAI '18: Proceedings of the 2018 International Conference on Algorithms, Computing and Artificial Intelligence

December 2018

460 pages

ISBN:9781450366250

DOI:10.1145/3302425

Copyright © 2018 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

In-Cooperation

The Hong Kong Polytechnic: The Hong Kong Polytechnic University
City University of Hong Kong: City University of Hong Kong

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 December 2018

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ACAI 2018

ACAI 2018: 2018 International Conference on Algorithms, Computing and Artificial Intelligence

December 21 - 23, 2018

Sanya, China

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ACAI '18 Paper Acceptance Rate 76 of 192 submissions, 40%;

Overall Acceptance Rate 173 of 395 submissions, 44%

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Cited By

Fahim IHaramouni LMajdi MElkandoussi F(2024)The Application of AI in NeuromarketingAI and Data Engineering Solutions for Effective Marketing10.4018/979-8-3693-3172-9.ch003(48-68)Online publication date: 28-Jun-2024
https://doi.org/10.4018/979-8-3693-3172-9.ch003
Casas-Frausto AMárquez BJiménez SAlanís A(2021)Deciphering Consumer Behavior Through Emotions Using NeuromarketingProceedings of Sixth International Congress on Information and Communication Technology10.1007/978-981-16-2377-6_53(571-580)Online publication date: 24-Sep-2021
https://doi.org/10.1007/978-981-16-2377-6_53

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