Emotion recognition while applying cosmetic cream using deep learning from EEG data; cross-subject analysis

• Published in: PloS one Vol. 17; no. 11; p. e0274203
• Main Authors: Kim, Jieun, Hwang, Dong-Uk, Son, Edwin J., Oh, Sang Hoon, Kim, Whansun, Kim, Youngkyung, Kwon, Gusang
• Format: Journal Article
• Language: English
• Published: San Francisco Public Library of Science 10.11.2022
• Subjects: Accuracy; Analysis; Biology and Life Sciences; Brain research; Classification; Computer and Information Sciences; Consumer behavior; Cosmetics; Deep learning; Electroencephalography; Emotion recognition; Emotional intelligence; Emotions; Feature extraction; Frequencies; Frequency dependence; Influence; Machine learning; Medicine and Health Sciences; Methods; Multimedia; Musical performances; Research and Analysis Methods; Social Sciences; Spatial data; Wavelet transforms; South Korea

We report a deep learning-based emotion recognition method using EEG data collected while applying cosmetic creams. Four creams with different textures were randomly applied, and they were divided into two classes, “like (positive)” and “dislike (negative)”, according to the preference score given b...