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- Title
基于眼脑数据和问卷分析的泳装图像情感因子空间构建.
- Authors
高君; 王伟珍
- Abstract
An important step in artificial intelligence clothing design is to transform clothing emotional design language into computer annotation language. However, current research mainly relies on questionnaire survey results, which leads to unreliable subjective annotation results. In order to solve this problem, objective physiological signals was collected by eye tracker and electroencephalography(EEG) systems and subjective perceptual data was collect with questionnaire, they were compared and analyzed and the reliability of subjective data was verified. Principal component analysis and factor analysis were carried out on the questionnaire data to establish the final emotional factor space of the swimsuit image. The construction of emotional factor space can reduce the difficulty of extracting emotional information features of clothing by computer, and is conducive to the recognition, classification, retrieval and other follow-up work of swimsuit image.
- Subjects
FASHION design; PRINCIPAL components analysis; ARTIFICIAL intelligence; PROGRAMMING languages; COMPUTER engineering; EYE tracking; IMAGE recognition (Computer vision)
- Publication
Wool Textile Journal, 2022, Vol 50, Issue 6, p73
- ISSN
1003-1456
- Publication type
Article
- DOI
10.19333/j.mfkj.20220302307