Search results for "emotion detection"

showing 3 items of 3 documents

SOM-Based Class Discovery for Emotion Detection Based on DEAP Dataset

2018

This paper investigates the possibility of identifying classes by clustering. This study includes employing Self-Organizing Maps (SOM) in identifying clusters from EEG signals that could then be mapped to emotional classes. Beginning by training varying sizes of SOM with the EEG data provided from the public dataset: DEAP. The produced graphs showing Neighbor Distance, Sample Hits, and Weight Position are examined. Following that, the ground-truth label provided in DEAP is tested, in order to identify correlations between the label and the clusters produced by the SOM. The results show that there is a potential of class discovery using SOM-based clustering. It is then concluded that by eval…

Computer sciencebusiness.industryEmotion detectionPattern recognition02 engineering and technologyClass (biology)DEAP03 medical and health sciences0302 clinical medicine0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingArtificial intelligenceCluster analysisbusiness030217 neurology & neurosurgeryInternational Journal of Software Science and Computational Intelligence
researchProduct

Sight sublimated by odors: effect of subliminal odors on facial emotion detection.

2014

SightOphthalmologyCommunicationbusiness.industryEmotion detectionSubliminal stimulibusinessPsychologySensory SystemsJournal of Vision
researchProduct

Brain-Activity-Driven Real-Time Music Emotive Control

2013

Active music listening has emerged as a study field that aims to enable listeners to interactively control music. Most of active music listening systems aim to control music aspects such as playback, equalization, browsing, and retrieval, but few of them aim to control expressive aspects of music to convey emotions. In this study our aim is to enrich the music listening experience by allowing listeners to control expressive parameters in music performances using their perceived emotional state, as detected from their brain activity. We obtain electro-encephalogram (EEG) data using a low-cost EEG device and then map this information into a coordinate in the emotional arousalvalence plane. Th…

music performanceemotion detectionEEG
researchProduct