EEG Biometrics for Person Verification

Goudiaby, Bacary; Othmani, Alice; Naït‐Ali, Amine

doi:10.1007/978-981-13-0956-4_3

Cited by 14 publications

(5 citation statements)

References 44 publications

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“…Según Goudiaby & et al (2020) el Emotiv Epoc+, es una diadema que permite detectar las ondas cerebrales generadas por las acciones mentales. El dispositivo cuenta con sensores superficiales los cuales se ubican en el cuero cabelludo, posee 14 canales de lectura AF3, F7, F3, FC5, T7, P7, O1, O2, P8, T8, FC6, F4, F8, AF4, los cuales se ubican en la parte frontal, parietal, occipital y temporal de la cabeza, y 2 canales de referencia colocados detrás de las orejas.…”

Section: Experimentos Con Eegunclassified

Medición de Emociones en Los Jóvenes Hacia Emprendimientos de Bebidas de Guayusa: Implicaciones de Gestión para la Comercialización de Productos

Romero-Buele

Domínguez-Maldonado

Tinoco-Egas

et al. 2021

ESJ

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La métrica de las emociones a partir de dispositivos de Neuromarketing valida las respuestas de comportamiento del consumidor desde el cerebro ante los estímulos sensoriales, en este caso, el empaque a través de la vista, y el sabor mediante el gusto de las bebidas energéticas naturales, como método analítico de la neurociencia para la aprobación de nuevos productos en el mercado. Esta investigación exploratorio-experimental tiene como objetivo medir las emociones generadas en los jóvenes hacia emprendimientos de bebidas de Guayusa mediante aplicaciones de Neuromarketing para validar las respuestas del consumidor con su decisión de compra. Los participantes con edades entre 18 a 45 años, consumidores habituales de energizantes, degustaron ocho marcas de bebidas sin conocerlas, luego fueron expuestos a sus empaques. Mediante los datos de Diferencia Asimétrica Prefrontal obtenidos desde un electroencefalograma, fue posible corroborar la respuesta de bebida de mayor aceptación. La validación de aceptación a un nuevo emprendimiento desde la fisiología del cuerpo humano, implica un proceso moderno en la gestión para la comercialización de un nuevo producto, pues considera características específicas que determinan el comportamiento del consumidor. Los resultados prueban que las emociones juegan un rol importante, evidenciando que aún con ausencia en la percepción de orgullo en el tipo de bebida energizante tradicional o natural fue posible validar la marca con mayor aceptación entre los participantes.

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Section: Experimentos Con Eegunclassified

Medición de Emociones en Los Jóvenes Hacia Emprendimientos de Bebidas de Guayusa: Implicaciones de Gestión para la Comercialización de Productos

Romero-Buele

Domínguez-Maldonado

Tinoco-Egas

et al. 2021

ESJ

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“…Among different depression detection techniques (like audio [46], facial [47], text [48] and MRI [4]) EEG method is the most reliable due to its ease of use (i.e., it requires a simple placement of electrodes) and its high temporal resolution. Due to the reliability factor of EEG, it is also utilized in EEG Bio metrics for Person Verifi-cation [49]. Moreover, it records brainâĂŹs electrical activity over sometime by providing non-invasive and cost-effective solutions [50].…”

Section: Electroencephalogram (Eeg) and Brain Structurementioning

confidence: 99%

EEG based Major Depressive disorder and Bipolar disorder detection using Neural Networks: A review

Yasin¹,

Hussain²,

Aslan³

et al. 2020

Preprint

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A summary of clinical background of MDD and BD, Brain structure and EEG based brain activity,• EEG experimental protocols study for mental disorders diagnosis,• An extensive study of state-of-the-art shallow and deep neural networks models for EEG based clinical depression detection,• An extensive study of neural networks based approaches for Biploar Disorder diagnosis using EEG signals,• A discussion of state-of-the-art methods limitations and giving valuable recommendations for future research

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“…Research on using EEG signals as biometric characteristics has been ongoing for years [ 12 , 13 , 14 , 15 , 16 , 17 , 18 ]. The main advantage of EEG as a biometric is its hidden nature which makes it less vulnerable to attack by impostors or intruders compared to more popular modalities [ 19 , 20 ]. Since the brain of a deceased person cannot generate EEG signals, these signals can only be acquired from a living being, making the data more difficult to counterfeit.…”

Section: Introductionmentioning

confidence: 99%

Leveraging Multiple Distinct EEG Training Sessions for Improvement of Spectral-Based Biometric Verification Results

Plucińska

Jędrzejewski

Malinowska

et al. 2023

Sensors

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Most studies on EEG-based biometry recognition report results based on signal databases, with a limited number of recorded EEG sessions using the same single EEG recording for both training and testing a proposed model. However, the EEG signal is highly vulnerable to interferences, electrode placement, and temporary conditions, which can lead to overestimated assessments of the considered methods. Our study examined how different numbers of distinct recording sessions used as training sessions would affect EEG-based verification. We analyzed the original data from 29 participants with 20 distinct recorded sessions each, as well as 23 additional impostors with only one session each. We applied raw coefficients of power spectral density estimate, and the coefficients of power spectral density estimate converted to the decibel scale, as the input to a shallow neural network. Our study showed that the variance introduced by multiple recording sessions affects sensitivity. We also showed that increasing the number of sessions above eight did not improve the results under our conditions. For 15 training sessions, the achieved accuracy was 96.7 ± 4.2%, and for eight training sessions and 12 test sessions, it was 94.9 ± 4.6%. For 15 training sessions, the rate of successful impostor attacks over all attack attempts was 3.1 ± 2.2%, but this number was not significantly different from using six recording sessions for training. Our findings indicate the need to include data from multiple recording sessions in EEG-based recognition for training, and that increasing the number of test sessions did not significantly affect the obtained results. Although the presented results are for the resting-state, they may serve as a baseline for other paradigms.

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EEG Biometrics for Person Verification

Cited by 14 publications

References 44 publications

Medición de Emociones en Los Jóvenes Hacia Emprendimientos de Bebidas de Guayusa: Implicaciones de Gestión para la Comercialización de Productos

Medición de Emociones en Los Jóvenes Hacia Emprendimientos de Bebidas de Guayusa: Implicaciones de Gestión para la Comercialización de Productos

EEG based Major Depressive disorder and Bipolar disorder detection using Neural Networks: A review

Leveraging Multiple Distinct EEG Training Sessions for Improvement of Spectral-Based Biometric Verification Results

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