One-way repeated-measures ANOVA revealed significant main effects of different emotional conditions on the dorsolateral prefrontal indicators AI_F4/F3 ( F (2, 38) = 9.24, p < 0.05, η 2 = 0.871) and AI_F8/F7 (F(2, 38) = 7.86, p < 0.05, η 2 = 0.871), while the main effect for the frontopolar indicator AI_Fp2/Fp1 did not reach statistical significance (F(2, 38) = 1.16, p = 0.32, η 2 = 0.65).
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Virtual reality-induced emotion recognition with deep learning-based multimodal physiological feature fusion.
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