Reconocimiento de emociones en humanos mediante procesamiento de señales EEG y estimulación auditiva
ilustraciones, fotografías, tablas
- Autores:
-
Ortega Loaiza, Christian Ortega
- Tipo de recurso:
- Fecha de publicación:
- 2021
- Institución:
- Universidad Nacional de Colombia
- Repositorio:
- Universidad Nacional de Colombia
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unal.edu.co:unal/79832
- Palabra clave:
- 000 - Ciencias de la computación, información y obras generales::004 - Procesamiento de datos Ciencia de los computadores
Emociones
Emotions
Aprendizaje Automático
Dimensión Fractal
Emociones
Interfaces Cerebro-Computador
Análisis de ondículas
Electroencefalografía
QDA
Wavelet Analysis
Machine Learning
Fractal Dimension
Emotions
Electroencephalography
Brain-Computer Interfaces
Investigación sobre el cerebro
Brain research
- Rights
- openAccess
- License
- Atribución-NoComercial-CompartirIgual 4.0 Internacional
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| dc.title.spa.fl_str_mv |
Reconocimiento de emociones en humanos mediante procesamiento de señales EEG y estimulación auditiva |
| dc.title.translated.eng.fl_str_mv |
Human emotion recognition using EEG signal processing and auditory stimulation |
| dc.title.translated.deu.fl_str_mv |
Menschliche Emotionserkennung mittels EEG-Signalverarbeitung und auditorischer Stimulation |
| dc.title.translated.fra.fl_str_mv |
Reconnaissance des émotions humaines par le traitement du signal EEG et la stimulation auditive |
| dc.title.translated.por.fl_str_mv |
Reconhecimento das emoções humanas usando o processamento de sinais EEG e estimulação auditiva |
| title |
Reconocimiento de emociones en humanos mediante procesamiento de señales EEG y estimulación auditiva |
| spellingShingle |
Reconocimiento de emociones en humanos mediante procesamiento de señales EEG y estimulación auditiva 000 - Ciencias de la computación, información y obras generales::004 - Procesamiento de datos Ciencia de los computadores Emociones Emotions Aprendizaje Automático Dimensión Fractal Emociones Interfaces Cerebro-Computador Análisis de ondículas Electroencefalografía QDA Wavelet Analysis Machine Learning Fractal Dimension Emotions Electroencephalography Brain-Computer Interfaces Investigación sobre el cerebro Brain research |
| title_short |
Reconocimiento de emociones en humanos mediante procesamiento de señales EEG y estimulación auditiva |
| title_full |
Reconocimiento de emociones en humanos mediante procesamiento de señales EEG y estimulación auditiva |
| title_fullStr |
Reconocimiento de emociones en humanos mediante procesamiento de señales EEG y estimulación auditiva |
| title_full_unstemmed |
Reconocimiento de emociones en humanos mediante procesamiento de señales EEG y estimulación auditiva |
| title_sort |
Reconocimiento de emociones en humanos mediante procesamiento de señales EEG y estimulación auditiva |
| dc.creator.fl_str_mv |
Ortega Loaiza, Christian Ortega |
| dc.contributor.advisor.none.fl_str_mv |
Niño Vásquez, Luis Fernando |
| dc.contributor.author.none.fl_str_mv |
Ortega Loaiza, Christian Ortega |
| dc.contributor.researchgroup.spa.fl_str_mv |
LABORATORIO DE INVESTIGACIÓN EN SISTEMAS INTELIGENTES - LISI |
| dc.subject.ddc.spa.fl_str_mv |
000 - Ciencias de la computación, información y obras generales::004 - Procesamiento de datos Ciencia de los computadores |
| topic |
000 - Ciencias de la computación, información y obras generales::004 - Procesamiento de datos Ciencia de los computadores Emociones Emotions Aprendizaje Automático Dimensión Fractal Emociones Interfaces Cerebro-Computador Análisis de ondículas Electroencefalografía QDA Wavelet Analysis Machine Learning Fractal Dimension Emotions Electroencephalography Brain-Computer Interfaces Investigación sobre el cerebro Brain research |
| dc.subject.decs.none.fl_str_mv |
Emociones Emotions |
| dc.subject.proposal.spa.fl_str_mv |
Aprendizaje Automático Dimensión Fractal Emociones Interfaces Cerebro-Computador Análisis de ondículas Electroencefalografía |
| dc.subject.proposal.eng.fl_str_mv |
QDA Wavelet Analysis Machine Learning Fractal Dimension Emotions Electroencephalography Brain-Computer Interfaces |
| dc.subject.unesco.none.fl_str_mv |
Investigación sobre el cerebro Brain research |
| description |
ilustraciones, fotografías, tablas |
| publishDate |
2021 |
| dc.date.accessioned.none.fl_str_mv |
2021-07-22T14:11:19Z |
| dc.date.available.none.fl_str_mv |
2021-07-22T14:11:19Z |
| dc.date.issued.none.fl_str_mv |
2021 |
| dc.type.spa.fl_str_mv |
Trabajo de grado - Maestría |
| dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/masterThesis |
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info:eu-repo/semantics/acceptedVersion |
| dc.type.content.spa.fl_str_mv |
Text |
| dc.type.redcol.spa.fl_str_mv |
http://purl.org/redcol/resource_type/TM |
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acceptedVersion |
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https://repositorio.unal.edu.co/handle/unal/79832 |
| dc.identifier.instname.spa.fl_str_mv |
Universidad Nacional de Colombia |
| dc.identifier.reponame.spa.fl_str_mv |
Repositorio Institucional Universidad Nacional de Colombia |
| dc.identifier.repourl.spa.fl_str_mv |
https://repositorio.unal.edu.co/ |
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https://repositorio.unal.edu.co/handle/unal/79832 https://repositorio.unal.edu.co/ |
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Universidad Nacional de Colombia Repositorio Institucional Universidad Nacional de Colombia |
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spa |
| language |
spa |
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Badcock, Nicholas A. ; Mousikou, Petroula ; Mahajan, Yatin ; de Lissa, Peter ; Thie, Johnson ; McArthur, Genevieve: Validation of the Emotiv EPOC(®) EEG gaming system for measuring research quality auditory ERPs. En: PeerJ 1 (2013), Nr.1, p. e38 Bos, Danny O.: EEG-based emotion recognition. En: The Influence of Visual and Auditory Stimuli (2006), p. 1–17 Bradley, Margaret M. ; Lang, Peter J.: Measuring emotion: The self-assessment ma- nikin and the semantic differential. En: Journal of Behavior Therapy and Experimental Psychiatry 25 (1994), Nr. 1, p. 49–59 Bradley, Margaret M. ; Lang, Peter J.: The International Affective Digitized Sounds (2nd Edition; IADS-2): Affective ratings of sounds and instruction manual. Technical report B-3. En: Technical report B-3. (2007) Cabredo, Rafael ; Legaspi, Roberto ; Inventado, Paul S. ; Numao, Masayuki: Dis- covering emotion-inducing music features using EEG signals. En: Journal of Advanced Computational Intelligence and Intelligent Informatics 17 (2013), p. 362–370. – ISSN 13430130 Candra, Henry ; Yuwono, Mitchell ; Handojoseno, Ardi ; Chai, Rifai ; Su, Steven ; Nguyen, Hung T.: Recognizing emotions from EEG subbands using wavelet analy- sis. En: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS Vol. 2015-Novem, Institute of Electrical and Electronics Engineers Inc., 2015, p. 6030–6033 Cernea, Daniel ; Kerren, Andreas ; Ebert, Achim: Detecting insight and emotion in visualization applications with a commercial EEG headset. En: SIGRAD 2011 Confe- rence on Evaluations of Graphics and Visualization-Efficiency, Usefulness, Accessibility, Usability,(Stockholm, Sweden), 2011, p. 53–60 Chanel, Guillaume ; Kronegg, Julien ; Grandjean, Didier ; Pun, Thierry: Emotion assessment: Arousal evaluation using EEG’s and peripheral physiological signals. En: Multimedia content representation, classification and security. Springer, 2006, p. 530– 537 Chawla, Nitesh V. ; Hall, Lawrence O. ; Kegelmeyer, W. P. ; Bowyer, Kevin W.: SMOTE: Synthetic Minority Over-sampling Technique. En: Journal of Artificial Inte- lligence Research 16 (2002), Nr. 1, p. 321–357. – ISBN 013805326X Cui, Zhicheng ; Chen, Wenlin ; Chen, Yixin: Multi-Scale Convolutional Neural Net- works for Time Series Classification. En: ArXiv preprint arXiv:1603.06995v4 [cs.CV] (2016) Delorme, Arnaud ; Rousselet, Guillaume A. ; Macé, Marc J M. ; Fabre-Thorpe, Michèle: Interaction of top-down and bottom-up processing in the fast visual analysis of natural scenes. En: Cognitive Brain Research 19 (2004), Nr. 2, p. 103–113 Elgendi, Mohamed ; Rebsamen, Brice ; Cichocki, Andrzej ; Vialatte, Francois ; Dauwels, Justin: Real-time wireless sonification of brain signals. En: Advances in Cognitive Neurodynamics (III). Springer, 2013, p. 175–181 Escobar, Maria ; Novoa, Edgar: Análisis de formatos de consentimiento informado en Colombia. Problemas ético-legales y dificultades en el lenguaje. En: Revista Latino- americana de Bioética 16(1) (2016), p. 14–37 Guennec, Arthur L. ; Malinowski, Simon ; Tavenard, Romain: Data Augmentation for Time Series Classification using Convolutional Neural Networks. En: ECML/PKDD Workshop on Advanced Analytics and Learning on Temporal Data, 2016 Guyon, Isabelle ; Wenston, Jason ; Barnhill, Stephen ; Vapnik, Vladimir: Ge- ne Selection for Cancer Classification using Support Vector Machines. En: Machine Learning 46 (2002), Nr. 1-3, p. 389–422. – ISSN 1573–0565 Hadjidimitriou, Stelios K. ; Hadjileontiadis, Leontios J.: Toward an EEG-based recognition of music liking using time-frequency analysis. En: IEEE Transactions on Biomedical Engineering 59 (2012), Nr. 12, p. 3498–3510 Hantke, Simone ; Weninger, Felix ; Han, Wenjing ; Zhang, Zixing ; Narayanan, Shrikanth: Automatic recognition of emotion evoked by general sound events. En: Icassp2012 (2012), Nr. Section 2, p. 341–344. ISBN 9781467300469 Higuchi, T: Approach to an irregular time series on the basis of the fractal theory. En: Physica D: Nonlinear Phenomena 31 (1988), Nr. 2, p. 277–283 Jatupaiboon, N. ; Pan-ngum, S. ; Israsena, P.: Emotion classification using minimal EEG channels and frequency bands. En: The 2013 10th International Joint Conference on Computer Science and Software Engineering (JCSSE), 2013, p. 21–24 Kesić, Srdjan ; Spasić, Sladjana Z.: Application of Higuchi’s fractal dimension from basic to clinical neurophysiology: A review. En: Computer Methods and Programs in Biomedicine (2016). – ISSN 18727565 Klonowski, Wlodzimierz: Everything you wanted to ask about EEG but were afraid to get the right answer. En: Nonlinear Biomedical Physics 3 (2009), Nr. 1. – ISSN 1753–4631 Koelsch, Stefan ; Fritz, Thomas ; Müller, Karsten ; Friederici, Angela D. [u. a.]: Investigating emotion with music: an fMRI study. En: Human brain mapping 27 (2006), Nr. 3, p. 239–250 Koelstra, S. ; Muhl, C. ; Soleymani, M. ; Jong-Seok Lee ; Yazdani, A. ; Ebrahimi, T. ; Pun, T. ; Nijholt, A. ; Patras, I.: DEAP: A Database for Emotion Analysis ;Using Physiological Signals. En: IEEE Transactions on Affective Computing 3 (2012), jan, Nr. 1, p. 18–31. – ISSN 1949–3045 Kolodziej, Marcin ; Majkowski, Andrzej ; Rak, Remigiusz J.: A new method of spatial filters design for brain-computer interface based on steady state visually evoked potentials. En: 2015 IEEE 8th International Conference on Intelligent Data Acquisi- tion and Advanced Computing Systems: Technology and Applications (IDAACS) Vol. 2, IEEE, 2015. – ISBN 978–1–4673–8359–2, p. 697–700 Kvaale, S. P.: Emotion Recognition in EEG: A neuroevolutionary approach., Norwe- gian University of Science and Technology, Tesis de Grado, 2012 Lee, Gregory ; Gommers, Ralf ; Waselewski, Filip ; Wohlfahrt, Kai ; O’Leary, Aaron: PyWavelets: A Python package for wavelet analysis. Journal of Open Source Software. En: The Journal of Open Source 4 (2019), Nr. 36, p. 1237 Li, Ma ; Chai, Quek ; Kaixiang, Teo ; Wahab, Abdul ; Abut, Hüseyin: EEG emotion recognition system. En: In-vehicle corpus and signal processing for driver behavior. Springer, 2009, p. 125–135 Lin, Yuan P. ; Wang, Chi H. ; Jung, Tzyy P. ; Wu, Tien L. ; Jeng, Shyh K. ; Duann, Jeng R. ; Chen, Jyh H.: EEG-based emotion recognition in music listening. En: IEEE Transactions on Biomedical Engineering 57 (2010), Nr. 7, p. 1798–1806 Lin, Yuan P. ; Wang, Chi H. ; Wu, Tien L. ; Jeng, Shyh K. ; Chen, Jyh H.: Mul- tilayer perceptron for EEG signal classification during listening to emotional music. En: IEEE Region 10 Annual International Conference, Proceedings/TENCON (2007). ISBN 1424412722 Lin, Yuan-Pin ; Wang, Chi-Hong ; Wu, Tien-Lin ; Jeng, Shyh-Kang ; Chen, Jyh- Horng: EEG-based emotion recognition in music listening: A comparison of schemes for multiclass support vector machine. En: Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on IEEE, 2009, p. 489–492 Liu, Yisi ; Sourina, Olga: EEG databases for emotion recognition. En: Proceedings - 2013 International Conference on Cyberworlds, CW 2013, IEEE Computer Society, 2013, p. 302–309 Liu, Yisi ; Sourina, Olga ; Nguyen, Minh K.: Real-time EEG-based emotion recog- nition and its applications. En: Transactions on computational science XII. Springer, 2011, p. 256–277 Mohammadi, Zeynab ; Frounchi, Javad ; Amiri, Mahmood: Wavelet-based emotion recognition system using EEG signal. En: Neural Computing and Applications 28 (2017), Aug, Nr. 8, p. 1985–1990. – ISSN 1433–3058 Murugappan, M. ; Nagarajan, R. ; Yaacob, Sazali: Comparison of different wavelet features from EEG signals for classifying human emotions. En: 2009 IEEE Symposium on Industrial Electronics & Applications Vol. 2, IEEE, Oktober 2009. – ISBN 978–1– 4244–4681–0, p. 836–841 Murugappan, M ; Rizon, M ; Nagarajan, Ramachandran ; Yaacob, S ; Zunaidi, I ; Hazry, Desa: Lifting scheme for human emotion recognition using EEG. En: Information Technology, 2008. ITSim 2008. International Symposium on Vol. 2 IEEE, 2008, p. 1–7 Murugappan, Murugappan ; Ramachandran, Nagarajan ; Sazali, Yaacob: Classi- fication of human emotion from EEG using discrete wavelet transform. En: Journal of Biomedical Science and Engineering 3 (2010), p. 390–396 Oikonomou, Vangelis P. ; Liaros, Georgios ; Georgiadis, Kostantinos ; Chatzila- ri, Elisavet ; Adam, Katerina ; Nikolopoulos, Spiros ; Kompatsiaris, Ioannis: Com- parative evaluation of state-of-the-art algorithms for SSVEP-based BCIs. En: CoRR abs/1602.00904 (2016) Olejarczyk, Elżbieta: Application of fractal dimension method of functional MRI time-series to limbic dysregulation in anxiety study, IEEE, 2007. – ISBN 978–1–4244– 0787–3 Plutchik, Robert: A psychoevolutionary theory of emotions. En: Social Science Information 21 (1982), Nr. 4-5, p. 529–553 Pongpanitanont, P ; Sittiprapaporn, W ; Charoensuk, W [u. a.]: Pattern re- cognition in brain FMRI for agnosia. En: Int J Appl Biomed Eng 3 (2010), p. 39–44 Ragot, Nicolas ; Bouzbouz, F. ; Khemmar, R. ; Kokosy, Anne-Marie ; Labbani- Igbida, Ouiddad ; Sajous, Patricia ; Niyonsaba, Emmanuel ; Reguer, D. ; Hu, Huosheng ; McDonald-Maier, Klaus ; Sirlantzis, Kostas ; Howells, Gareth ; Pepper, Matthew ; Sakel, M.: Enhancing the Autonomy of Disabled Persons: Assis- tive Technologies Directed by User Feedback. En: 2013 Fourth International Conference on Emerging Security Technologies, 2010, p. 71–74 Ranky, GN ; Adamovich, S: Analysis of a commercial EEG device for the control of a robot arm. En: Bioengineering Conference, Proceedings of the 2010 IEEE 36th Annual Northeast IEEE, 2010, p. 1–2 Russell, James A.: A circumplex model of affect. En: Journal of personality and social psychology 39 (1980), Nr. 6, p. 1161 Schalk, Gerwin ; McFarland, Dennis J. ; Hinterberger, Thilo ; Birbaumer, Niels ; Wolpaw, Jonathan R.: BCI2000: A general-purpose brain-computer interface (BCI) system. En: IEEE Transactions on Biomedical Engineering 51 (2004), Nr. 6, p. 1034–1043 Scherer, Klaus R.: What are emotions? And how can they be measured? En: Social Science Information 44 (2005), Nr. 4, p. 695–729 Schuller, Böjrn ; Dorfner, Johannes ; Rigoll, Gerhard: Determination of nonpro- totypical valence and arousal in popular music: Features and performances. En: Eurasip Journal on Audio, Speech, and Music Processing 2010 (2010). – ISSN 16874714 Smits, Fenne M. ; Porcaro, Camillo ; Cottone, Carlo ; Cancelli, Andrea ; Rossi- ni, Paolo M. ; Tecchio, Franca: Electroencephalographic Fractal Dimension inHealthy Ageing and Alzheimer’s Disease. En: PLoS ONE 11, Nr. 2 Sourina, Olga ; Liu, Yisi: A Fractal-based Algorithm of Emotion Recognition from EEG using Arousal-Valence Model. En: BIOSIGNALS, 2011, p. 209–214 Stevenson, Ryan A. ; James, Thomas W.: Affective auditory stimuli: Characteri- zation of the International Affective Digitized Sounds (IADS) by discrete emotional categories. En: Behavior Research Methods 40 (2008), Februar, Nr. 1, p. 315–321. – ISSN 1554–351X Vareka, Lukas ; Bruha, Petr ; Moucek, Roman: Event-related potential datasets based on a three-stimulus paradigm. En: GigaScience 3 (2014), Nr. 1, p. 35 Vokorokos, Liberios ; Madoš, Branislav ; Ádám, Norbert ; Baláž, Anton: Data Ac- quisition in Non-Invasive Brain-Computer Interface Using Emotiv Epoc Neuroheadset. En: Acta Electrotechnica et Informatica 12 (2012), Nr. 1, p. 5–8 Wen, Qingsong ; Sun, Liang ; Song, Xiaomin ; Gao, Jingkun ; Wang, Xue ; Xu, Huan: Time Series Data Augmentation for Deep Learning: A Survey. En: ArXiv pre- print abs/2002.12478 (2020) Yohanes, Rendi E J. ; Ser, Wee ; Huang, Guang-bin: Discrete wavelet transform coefficients for emotion recognition from EEG signals. En: Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference 2012 (2012), p. 2251–4. – ISBN 9781457717871 Zhang, X L. ; Begleiter, H ; Porjesz, B ; Wang, W ; Litke, a: Event related potentials during object recognition tasks. En: Brain research bulletin 38 (1995), Nr. 6, p. 531–538. – ISBN 0361–9230 (Print)\r0361–9230 (Linking) |
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Derechos reservados al autor, 2021 |
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http://purl.org/coar/access_right/c_abf2 |
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Atribución-NoComercial-CompartirIgual 4.0 Internacional |
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http://creativecommons.org/licenses/by-nc-sa/4.0/ |
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info:eu-repo/semantics/openAccess |
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Atribución-NoComercial-CompartirIgual 4.0 Internacional Derechos reservados al autor, 2021 http://creativecommons.org/licenses/by-nc-sa/4.0/ http://purl.org/coar/access_right/c_abf2 |
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122 páginas |
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application/pdf |
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Universidad Nacional de Colombia |
| dc.publisher.program.spa.fl_str_mv |
Bogotá - Ingeniería - Maestría en Ingeniería - Ingeniería de Sistemas y Computación |
| dc.publisher.department.spa.fl_str_mv |
Departamento de Ingeniería de Sistemas e Industrial |
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Facultad de Ingeniería |
| dc.publisher.place.spa.fl_str_mv |
Bogotá, Colombia |
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Universidad Nacional de Colombia - Sede Bogotá |
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Universidad Nacional de Colombia |
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Atribución-NoComercial-CompartirIgual 4.0 InternacionalDerechos reservados al autor, 2021http://creativecommons.org/licenses/by-nc-sa/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Niño Vásquez, Luis Fernandobc784b82735e16fe53653c3f5c8f3bbeOrtega Loaiza, Christian Ortega5f986d2deab22ea2c4cc170dcb278b57LABORATORIO DE INVESTIGACIÓN EN SISTEMAS INTELIGENTES - LISI2021-07-22T14:11:19Z2021-07-22T14:11:19Z2021https://repositorio.unal.edu.co/handle/unal/79832Universidad Nacional de ColombiaRepositorio Institucional Universidad Nacional de Colombiahttps://repositorio.unal.edu.co/ilustraciones, fotografías, tablasEste trabajo aborda una problemática que no es ajena a la academia, pero que aún presenta resultados embrionarios. En particular, emplea estímulos auditivos con el objeto de implementar un algoritmo computacional que realice el reconocimiento de un grupo definido de emociones maximizando la precisión y reduciendo la cantidad de electrodos necesarios para dicha tarea. Para ello se definió un grupo de 6 emociones objetivo estimuladas mediante 30 audios, los cuales fueron presentados a un grupo de 14 personas voluntarias, de entre 18 y 35 años, sobre las cuales se realizó la lectura de las señales EEG. La metodología conllevó 3 fases, son sus respectivas etapas, y permitió construir un algoritmo basado tanto en características convencionales como en la Transformada Wavelet, la Dimensión Fractal y un modelo de Análisis Discriminante Cuadrático, el cual fue valorado bajo métricas de precisión, exactitud, exhaustividad y puntaje F1. Los resultados fueron comparados con aquellos reportados en otros trabajos similares disponibles en la literatura. (Texto tomado de la fuente)This work addresses a problem that is not beyond to academia, but which still presents embryonic results. In particular, it uses auditory stimuli in order to implement a computational algorithm that performs the recognition of a defined group of emotions maximizing accuracy and reducing the number of electrodes needed for this task. To this end, a group of 6 target emotions stimulated by 30 audio excerpts were defined and presented to a group of 14 volunteers, aged between 18 and 35, on whom the EEG signals were read. The methodology involved 3 phases, with their respective stages, and allowed the construction of an algorithm based on conventional features as well as on Wavelet Transform, Fractal Dimension and a Quadratic Discriminant Analysis model, which was evaluated under metrics of precision, accuracy, recall and F1 score. The results were compared with those reported in other similar works available in the literature. (Text taken from source)MaestríaMagíster en Ingeniería - Ingeniería de Sistemas y ComputaciónSistemas inteligentes122 páginasapplication/pdfspaUniversidad Nacional de ColombiaBogotá - Ingeniería - Maestría en Ingeniería - Ingeniería de Sistemas y ComputaciónDepartamento de Ingeniería de Sistemas e IndustrialFacultad de IngenieríaBogotá, ColombiaUniversidad Nacional de Colombia - Sede Bogotá000 - Ciencias de la computación, información y obras generales::004 - Procesamiento de datos Ciencia de los computadoresEmocionesEmotionsAprendizaje AutomáticoDimensión FractalEmocionesInterfaces Cerebro-ComputadorAnálisis de ondículasElectroencefalografíaQDAWavelet AnalysisMachine LearningFractal DimensionEmotionsElectroencephalographyBrain-Computer InterfacesInvestigación sobre el cerebroBrain researchReconocimiento de emociones en humanos mediante procesamiento de señales EEG y estimulación auditivaHuman emotion recognition using EEG signal processing and auditory stimulationMenschliche Emotionserkennung mittels EEG-Signalverarbeitung und auditorischer StimulationReconnaissance des émotions humaines par le traitement du signal EEG et la stimulation auditiveReconhecimento das emoções humanas usando o processamento de sinais EEG e estimulação auditivaTrabajo de grado - Maestríainfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/acceptedVersionTexthttp://purl.org/redcol/resource_type/TMBadcock, Nicholas A. ; Mousikou, Petroula ; Mahajan, Yatin ; de Lissa, Peter ; Thie, Johnson ; McArthur, Genevieve: Validation of the Emotiv EPOC(®) EEG gaming system for measuring research quality auditory ERPs. En: PeerJ 1 (2013), Nr.1, p. e38Bos, Danny O.: EEG-based emotion recognition. En: The Influence of Visual and Auditory Stimuli (2006), p. 1–17Bradley, Margaret M. ; Lang, Peter J.: Measuring emotion: The self-assessment ma- nikin and the semantic differential. En: Journal of Behavior Therapy and Experimental Psychiatry 25 (1994), Nr. 1, p. 49–59Bradley, Margaret M. ; Lang, Peter J.: The International Affective Digitized Sounds (2nd Edition; IADS-2): Affective ratings of sounds and instruction manual. Technical report B-3. En: Technical report B-3. (2007)Cabredo, Rafael ; Legaspi, Roberto ; Inventado, Paul S. ; Numao, Masayuki: Dis- covering emotion-inducing music features using EEG signals. En: Journal of Advanced Computational Intelligence and Intelligent Informatics 17 (2013), p. 362–370. – ISSN 13430130Candra, Henry ; Yuwono, Mitchell ; Handojoseno, Ardi ; Chai, Rifai ; Su, Steven ; Nguyen, Hung T.: Recognizing emotions from EEG subbands using wavelet analy- sis. 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En: Brain research bulletin 38 (1995), Nr. 6, p. 531–538. – ISBN 0361–9230 (Print)\r0361–9230 (Linking)GeneralLICENSElicense.txtlicense.txttext/plain; charset=utf-83964https://repositorio.unal.edu.co/bitstream/unal/79832/1/license.txtcccfe52f796b7c63423298c2d3365fc6MD51ORIGINAL1015400969.2021.pdf1015400969.2021.pdfTesis de Maestría en Ingeniería - Ingeniería de Sistemas y Computaciónapplication/pdf2512674https://repositorio.unal.edu.co/bitstream/unal/79832/2/1015400969.2021.pdf68feddb0d8b41f524f516f2265935010MD52CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-81031https://repositorio.unal.edu.co/bitstream/unal/79832/3/license_rdf934f4ca17e109e0a05eaeaba504d7ce4MD53THUMBNAIL1015400969.2021.pdf.jpg1015400969.2021.pdf.jpgGenerated Thumbnailimage/jpeg4418https://repositorio.unal.edu.co/bitstream/unal/79832/4/1015400969.2021.pdf.jpg599feba6d02a239a4a5a44b72b37a735MD54unal/79832oai:repositorio.unal.edu.co:unal/798322024-07-24 23:42:05.87Repositorio Institucional Universidad 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