Heart rate variability features for emotion dimensional prediction by using a principal component analysis-support vector regression (PCA-SVR) model

HAN YongMing, ZHANG MingXing, GENG ZhiQiang

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Journal of Beijing University of Chemical Technology ›› 2021, Vol. 48 ›› Issue (5) : 102-110. DOI: 10.13543/j.bhxbzr.2021.05.013

Heart rate variability features for emotion dimensional prediction by using a principal component analysis-support vector regression (PCA-SVR) model

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{{article.zuoZheEn_L}}. {{article.title_en}}[J]. {{journal.qiKanMingCheng_EN}}, 2021, 48(5): 102-110 https://doi.org/10.13543/j.bhxbzr.2021.05.013

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