Like/dislike analysis using EEG: Determination of most discriminative channels and frequencies

Yılmaz, Bülent; Korkmaz, Serdal; Arslan, Dilek Betül; Güngör, Evrim; Asyalı, Musa Hakan

doi:10.1016/j.cmpb.2013.11.010

Cited by 68 publications

(31 citation statements)

References 20 publications

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“…Therefore, experiments have to be well designed in EEG studies. In the published literature, while some EEG experiments are designed using non-specialized applications [10][11][12][13], some [14-17, 20, 24] are designed to use commercial and non-free software to meet stimuli presentation requirement. In this study, alternative software was developed to present stimuli.…”

Section: Discussionmentioning

confidence: 99%

“…In another study, researchers investigated fixation differences between familiar and unfamiliar face stimuli using non-specialized presentation software [10]. In another EEG experiment [11], similar-sized, high-quality shoe photographs were presented using PowerPoint. Furthermore, familiar and unfamiliar faces were displayed to subjects using nonspecialized presentation software in an EEG study [12].…”

Section: Introductionmentioning

confidence: 99%

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STIPRESOFT: an alternative stimuli presentation software synchronizing with current acquisition systems in EEG experiments

Özbeyaz

2019

SN Appl. Sci.

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Since analyzing of visual evoked potentials is crucial in neuropsychology experiments, stimuli presentation software should be meticulously designed. In such experiments, synchronizing stimuli presentation software with existing biomedical instruments, and marking EEG signals are difficult problems to overcome. In EEG experiments, these kinds of problems have been still tried to be overcome with the simple and unprofessional software like PowerPoint. Furthermore, commercial software is costly and may be incompatible with the current laboratory resources. In this study, free and simple STIPRESOFT software which could synchronize stimuli presentation software with available EEG devices and could mark EEG signals at the time of visual stimulus was developed. In the applied experiments, the time latency between the stimulus and marking times were more successful with 0.028 ms according to the competitors. In the software, the advantages of the Win-API were benefited. In STIPRESOFT, two API were exploited to improve timing precision, and to enable synchronization. Furthermore, time stamps related to stimuli on EEG signals were recorded in a text file during the experiment. Consequently, the developed software presents an alternative free and simple solution for researchers who need to adjust synchronization between stimuli presentation and existing EEG device in the scientific studies.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

STIPRESOFT: an alternative stimuli presentation software synchronizing with current acquisition systems in EEG experiments

Özbeyaz

2019

SN Appl. Sci.

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“…EEG is a technique of measuring brainwaves from a human subject's scalp through the use of a brain-computer interface (BCI), where this technique is a mature method that has been used in various domains such as wheelchair control (Shalbaf et al 2014) and anaesthesia depth measurement (Wang et al 2014). The use of EEGs in understanding human preference has been widely studied for different stimuli, ranging from music (Hadjidimitriou andHadjileontiadis 2012, 2013), automotive brands (Murugappan et al 2014), shoes (Yılmaz et al 2014), to images with various colours and patterns (Khushaba et al 2012) and beverage brands (Brown et al 2012). Several wellknown companies (e.g.…”

Section: Introductionmentioning

confidence: 99%

Aesthetic preference recognition of 3D shapes using EEG

2015

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Recognition and identification of aesthetic preference is indispensable in industrial design. Humans tend to pursue products with aesthetic values and make buying decisions based on their aesthetic preferences. The existence of neuromarketing is to understand consumer responses toward marketing stimuli by using imaging techniques and recognition of physiological parameters. Numerous studies have been done to understand the relationship between human, art and aesthetics. In this paper, we present a novel preference-based measurement of user aesthetics using electroencephalogram (EEG) signals for virtual 3D shapes with motion. The 3D shapes are designed to appear like bracelets, which is generated by using the Gielis superformula. EEG signals were collected by using a medical grade device, the B-Alert X10 from advance brain monitoring, with a sampling frequency of 256 Hz and resolution of 16 bits. The signals obtained when viewing 3D bracelet shapes were decomposed into alpha, beta, theta, gamma and delta rhythm by using time-frequency analysis, then classified into two classes, namely like and dislike by using support vector machines and K-nearest neighbors (KNN) classifiers respectively. Classification accuracy of up to 80 % was obtained by using KNN with the alpha, theta and delta rhythms as the features extracted from frontal channels, Fz, F3 and F4 to classify two classes, like and dislike.Keywords Neuro-aesthetics Á Electroencephalogram (EEG) Á Brain-computer interface (BCI) Á 3-Dimensional (3D) shape preference Á Aesthetic design Á Support vector machines (SVM) Á K-nearest neighbors (KNN)

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“…These tools make it possible to reveal hidden information about consumer preference and experience [1]. Therefore, a number of previous studies argued consumer research [4]- [9]. In this study, we focus on an EEG.…”

Section: Introductionmentioning

confidence: 99%

Detection of latent emotion using TV commercial evaluation

Nomura

Mitsukura

2015

2015 8th International Conference on Human System Interaction (HSI)

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In this study, we detect latent emotions by evaluating Japanese TV commercials. Since TV commercials have penetrated deeply in our lives, they have given significant impacts on consumers' willingness to buy as well as on enhancement of brand image. Evaluating TV commercials and comprehending psychology of consumers are cited as one of key business issues. Therefore, we focus on consumers' latent emotions while watching TV commercials that they favorably remembered afterward, by using an electroencephalogram (EEG) and a questionnaire. In our experiment, we deal with award-winning and non-award-winning TV commercials in Japan. Moreover, we examine the effects of the favorable TV commercials on consumers' memories with time. The results showed that different kinds of latent emotions were interacted depending on characteristics of TV commercials: the presence of award and viewing time. In particular, consumers experienced the same kinds of emotions while watching the award-winning TV commercials that left favorable impressions on them not only soon after watching but also a month later. This tendency did not apply to the non-award-winning TV commercials. In this way, we investigate how consumers' favorable TV commercials actually impact on their latent emotions and their memories.

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Like/dislike analysis using EEG: Determination of most discriminative channels and frequencies

Cited by 68 publications

References 20 publications

STIPRESOFT: an alternative stimuli presentation software synchronizing with current acquisition systems in EEG experiments

STIPRESOFT: an alternative stimuli presentation software synchronizing with current acquisition systems in EEG experiments

Aesthetic preference recognition of 3D shapes using EEG

Detection of latent emotion using TV commercial evaluation

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