Facial expression distribution prediction based on surface electromyography
作者：
Highlights：
• Predict the intensities of basic emotions based on surface electromyography.
• Emotion distribution learning predicts the intensities of basic emotions.
• Apply principal component analysis to select the most representative features.
• Combine emotion distribution learning and principal component analysis.
摘要
•Predict the intensities of basic emotions based on surface electromyography.•Emotion distribution learning predicts the intensities of basic emotions.•Apply principal component analysis to select the most representative features.•Combine emotion distribution learning and principal component analysis.
论文关键词：Facial expression recognition,Emotion distribution learning,Surface electromyography,Principal component analysis
论文评审过程：Received 7 July 2019, Revised 31 May 2020, Accepted 19 June 2020, Available online 29 June 2020, Version of Record 10 July 2020.
论文官网地址：https://doi.org/10.1016/j.eswa.2020.113683
