Emotion Recognition Using the Emotiv EPOC Device

Pham, Trung Duy; Tran, Dat

doi:10.1007/978-3-642-34500-5_47

Cited by 63 publications

(28 citation statements)

References 9 publications

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“…And supporting arguments have been given by a number of researchers who have successfully applied this system to assess cognitive processes [12][13][14][15][16][17].…”

Section: Introductionmentioning

confidence: 88%

Auditory evoked potentials in patients with major depressive disorder measured by Emotiv system

Wang

Yang-de

et al. 2015

BME

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Abstract. In a previous study (unpublished), Emotiv headset was validated for capturing event-related potentials (ERPs) from normal subjects. In the present follow-up study, the signal quality of Emotiv headset was tested by the accuracy rate of discriminating Major Depressive Disorder (MDD) patients from the normal subjects. ERPs of 22 MDD patients and 15 normal subjects were induced by an auditory oddball task and the amplitude of N1, N2 and P3 of ERP components were specifically analyzed. The features of ERPs were statistically investigated. It is found that Emotiv headset is capable of discriminating the abnormal N1, N2 and P3 components in MDD patients. Relief-F algorithm was applied to all features for feature selection. The selected features were then input to a linear discriminant analysis (LDA) classifier with leave-one-out cross-validation to characterize the ERP features of MDD. 127 possible combinations out of the selected 7 ERP features were classified using LDA. The best classification accuracy was achieved to be 89.66%. These results suggest that MDD patients are identifiable from normal subjects by ERPs measured by Emotiv headset.

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“…And supporting arguments have been given by a number of researchers who have successfully applied this system to assess cognitive processes [12][13][14][15][16][17].…”

Section: Introductionmentioning

confidence: 88%

Auditory evoked potentials in patients with major depressive disorder measured by Emotiv system

Wang

Yang-de

et al. 2015

BME

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“…Third, stress was captured through an EEG interpretation measure provided by Emotiv EPOC+ software. The usefulness of capturing emotions and psychological state through the EPOC+ is widely accepted in the literature (e.g., [64,65]). …”

Section: Measurementsmentioning

confidence: 99%

Effects of the Use of Social Network Sites on Task Performance: Toward a Sustainable Performance in a Distracting Work Environment

Min

2017

Sustainability

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Abstract:As the use of social network sites (SNS) has become increasingly prevalent, its effect on sustainable performance has received much attention. The existing literature has taken either a positive or negative view of SNS, arguing that it either decreases performance by taking time and effort away from work, or increases performance by providing social benefits for enhancing performance. In contrast, this experimental study, investigates how SNS use can disturb or enhance the performance of different types of tasks differently, thus influencing the sustainability of task performance. Based on distraction-conflict theory, this study distinguishes between simple and complex tasks, examines the role of SNS, and analyzes data including electroencephalography data captured by a brain-computer interface. The results show that task performance can be sustainable such that SNS use positively influences performance when participants are engaged in a simple task and influences performance neither positively nor negatively when participants are engaged in a complex task. The study finds the former result is attributable to the positive effect of the psychological arousal induced by SNS use and the latter result to the negative effect of the psychological arousal offsetting the positive effect of reduced stress resulting from SNS use.

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“…One of them is the Emotiv Epoc headset we used in our experiment, which directly provides emotional data on certain dimensions including arousal (called excitement) [14]. The validity and reliability of the device were verified regarding the raw data it provides [15], and it has been show that raw data can be used for emotion recognition [16].…”

Section: Eeg Devicementioning

confidence: 99%

Emotional interactive movie: adjusting the scenario according to the emotional response of the viewer

Cohendet¹,

Silva²,

Gilet³

et al. 2017

EAI Endorsed Transactions on Creative Technologies

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Emotional interactive movie is a kind of film unfolding in different ways according to the emotion the viewer experiences. The movie is made of several sequences; their combination determines the particular scenario experienced. In this paper, we describe the system and its implementation by providing combination selection criteria. We measured neurophysiological and ocular activities of 60 individuals viewing an experimental interactive short-movie composed of 12 different scenarios. For this purpose, we combined an electroencephalography headset which directly provides emotional data with an eye-tracker in order to simultaneously investigate the position of viewer's gaze. From the collected data analysis, we propose a functional version of the emotional interactive movie, which was used in a so called "emotional cinema" during public exhibitions.

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Emotion Recognition Using the Emotiv EPOC Device

Cited by 63 publications

References 9 publications

Auditory evoked potentials in patients with major depressive disorder measured by Emotiv system

Auditory evoked potentials in patients with major depressive disorder measured by Emotiv system

Effects of the Use of Social Network Sites on Task Performance: Toward a Sustainable Performance in a Distracting Work Environment

Emotional interactive movie: adjusting the scenario according to the emotional response of the viewer

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