An Investigation of Olfactory-Enhanced Video on EEG-Based Emotion Recognition

Collecting emotional physiological signals is significant in building affective Human-Computer Interactions (HCI). However, how to evoke subjects’ emotions efficiently in EEG-related emotional experiments is still a challenge. In this work, we developed a novel experimental paradigm that...

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Main Authors: Minchao Wu (Author), Wei Teng (Author), Cunhang Fan (Author), Shengbing Pei (Author), Ping Li (Author), Zhao Lv (Author)
Format: Book
Published: IEEE, 2023-01-01T00:00:00Z.
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042 |a dc 
100 1 0 |a Minchao Wu  |e author 
700 1 0 |a Wei Teng  |e author 
700 1 0 |a Cunhang Fan  |e author 
700 1 0 |a Shengbing Pei  |e author 
700 1 0 |a Ping Li  |e author 
700 1 0 |a Zhao Lv  |e author 
245 0 0 |a An Investigation of Olfactory-Enhanced Video on EEG-Based Emotion Recognition 
260 |b IEEE,   |c 2023-01-01T00:00:00Z. 
500 |a 1558-0210 
500 |a 10.1109/TNSRE.2023.3253866 
520 |a Collecting emotional physiological signals is significant in building affective Human-Computer Interactions (HCI). However, how to evoke subjects’ emotions efficiently in EEG-related emotional experiments is still a challenge. In this work, we developed a novel experimental paradigm that allows odors dynamically participate in different stages of video-evoked emotions, to investigate the efficiency of olfactory-enhanced videos in inducing subjects’ emotions; According to the period that the odors participated in, the stimuli were divided into four patterns, i.e., the olfactory-enhanced video in early/later stimulus periods (OVEP/OVLP), and the traditional videos in early/later stimulus periods (TVEP/TVLP). The differential entropy (DE) feature and four classifiers were employed to test the efficiency of emotion recognition. The best average accuracies of the OVEP, OVLP, TVEP, and TVLP were 50.54%, 51.49%, 40.22%, and 57.55%, respectively. The experimental results indicated that the OVEP significantly outperformed the TVEP on classification performance, while there was no significant difference between the OVLP and TVLP. Besides, olfactory-enhanced videos achieved higher efficiency in evoking negative emotions than traditional videos. Moreover, we found that the neural patterns in response to emotions under different stimulus methods were stable, and for Fp1, FP2, and F7, there existed significant differences in whether adopt the odors. 
546 |a EN 
690 |a Electroencephalogram (EEG) 
690 |a emotion recognition 
690 |a human-computer interface (HCI) 
690 |a olfactory-enhanced video 
690 |a neural pattern 
690 |a Medical technology 
690 |a R855-855.5 
690 |a Therapeutics. Pharmacology 
690 |a RM1-950 
655 7 |a article  |2 local 
786 0 |n IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 1602-1613 (2023) 
787 0 |n https://ieeexplore.ieee.org/document/10063978/ 
787 0 |n https://doaj.org/toc/1558-0210 
856 4 1 |u https://doaj.org/article/22142868cd704b6bafff34e7c33efdf2  |z Connect to this object online.