ArticleCognitive neurodynamics2016
Aesthetic preference recognition of 3D shapes using EEG.
Article in Cognitive neurodynamics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- A portable affective computing system for identifying mate preference.Scientific reports · 2024Article
- Cross-subject aesthetic preference recognition of Chinese dance posture using EEG.Cognitive neurodynamics · 2023Article
- An Ensemble Model for Consumer Emotion Prediction Using EEG Signals for Neuromarketing Applications.Sensors (Basel, Switzerland) · 2022Article
- Feature selection of EEG signals in neuromarketing.PeerJ. Computer science · 2022Article
- Is Mate Preference Recognizable Based on Electroencephalogram Signals? Machine Learning Applied to Initial Romantic Attraction.Frontiers in neuroscience · 2022Article
- A review of research on neuromarketing using content analysis: key approaches and new avenues.Cognitive neurodynamics · 2021Article
- Article
- A Literature Review of EEG-Based Affective Computing in Marketing.Frontiers in psychology · 2021Review
- Review of computational neuroaesthetics: bridging the gap between neuroaesthetics and computer science.Brain informatics · 2020Review
- Technological advancements and opportunities in Neuromarketing: a systematic review.Brain informatics · 2020Review
- Recognition of Consumer Preference by Analysis and Classification EEG Signals.Frontiers in human neuroscience · 2020Article
- EEG-Based Emotion Recognition: A State-of-the-Art Review of Current Trends and Opportunities.Computational intelligence and neuroscience · 2020Review
- Mental fatigue level detection based on event related and visual evoked potentials features fusion in virtual indoor environment.Cognitive neurodynamics · 2019Article
- Aging-related changes of EEG synchronization during a visual working memory task.Cognitive neurodynamics · 2018Article
- A novel real-time driving fatigue detection system based on wireless dry EEG.Cognitive neurodynamics · 2018Article
- Investigating neural efficiency of elite karate athletes during a mental arithmetic task using EEG.Cognitive neurodynamics · 2018Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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