The increasing instance of negative emotion reduce the performance of emotion recognition
IntroductionEmotion recognition plays a crucial role in affective computing. Recent studies have demonstrated that the fuzzy boundaries among negative emotions make recognition difficult. However, to the best of our knowledge, no formal study has been conducted thus far to explore the effects of inc...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-10-01
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| Series: | Frontiers in Human Neuroscience |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fnhum.2023.1180533/full |
| _version_ | 1827794432288620544 |
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| author | Xiaomin Wang Shaokai Zhao Yu Pei Zhiguo Luo Liang Xie Ye Yan Erwei Yin |
| author_facet | Xiaomin Wang Shaokai Zhao Yu Pei Zhiguo Luo Liang Xie Ye Yan Erwei Yin |
| author_sort | Xiaomin Wang |
| collection | DOAJ |
| description | IntroductionEmotion recognition plays a crucial role in affective computing. Recent studies have demonstrated that the fuzzy boundaries among negative emotions make recognition difficult. However, to the best of our knowledge, no formal study has been conducted thus far to explore the effects of increased negative emotion categories on emotion recognition.MethodsA dataset of three sessions containing consistent non-negative emotions and increased types of negative emotions was designed and built which consisted the electroencephalogram (EEG) and the electrocardiogram (ECG) recording of 45 participants.ResultsThe results revealed that as negative emotion categories increased, the recognition rates decreased by more than 9%. Further analysis depicted that the discriminative features gradually reduced with an increase in the negative emotion types, particularly in the θ, α, and β frequency bands.DiscussionThis study provided new insight into the balance of emotion-inducing stimuli materials. |
| first_indexed | 2024-03-11T18:34:17Z |
| format | Article |
| id | doaj.art-c28131253f3246cea12d5e0275c5d696 |
| institution | Directory Open Access Journal |
| issn | 1662-5161 |
| language | English |
| last_indexed | 2024-03-11T18:34:17Z |
| publishDate | 2023-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Human Neuroscience |
| spelling | doaj.art-c28131253f3246cea12d5e0275c5d6962023-10-13T07:24:32ZengFrontiers Media S.A.Frontiers in Human Neuroscience1662-51612023-10-011710.3389/fnhum.2023.11805331180533The increasing instance of negative emotion reduce the performance of emotion recognitionXiaomin Wang0Shaokai Zhao1Yu Pei2Zhiguo Luo3Liang Xie4Ye Yan5Erwei Yin6Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, ChinaDefense Innovation Institute, Academy of Military Sciences (AMS), Beijing, ChinaDefense Innovation Institute, Academy of Military Sciences (AMS), Beijing, ChinaDefense Innovation Institute, Academy of Military Sciences (AMS), Beijing, ChinaDefense Innovation Institute, Academy of Military Sciences (AMS), Beijing, ChinaDefense Innovation Institute, Academy of Military Sciences (AMS), Beijing, ChinaDefense Innovation Institute, Academy of Military Sciences (AMS), Beijing, ChinaIntroductionEmotion recognition plays a crucial role in affective computing. Recent studies have demonstrated that the fuzzy boundaries among negative emotions make recognition difficult. However, to the best of our knowledge, no formal study has been conducted thus far to explore the effects of increased negative emotion categories on emotion recognition.MethodsA dataset of three sessions containing consistent non-negative emotions and increased types of negative emotions was designed and built which consisted the electroencephalogram (EEG) and the electrocardiogram (ECG) recording of 45 participants.ResultsThe results revealed that as negative emotion categories increased, the recognition rates decreased by more than 9%. Further analysis depicted that the discriminative features gradually reduced with an increase in the negative emotion types, particularly in the θ, α, and β frequency bands.DiscussionThis study provided new insight into the balance of emotion-inducing stimuli materials.https://www.frontiersin.org/articles/10.3389/fnhum.2023.1180533/fullaffective computingemotion recognitionEEGECGexperimental protocol designingnegative emotion |
| spellingShingle | Xiaomin Wang Shaokai Zhao Yu Pei Zhiguo Luo Liang Xie Ye Yan Erwei Yin The increasing instance of negative emotion reduce the performance of emotion recognition Frontiers in Human Neuroscience affective computing emotion recognition EEG ECG experimental protocol designing negative emotion |
| title | The increasing instance of negative emotion reduce the performance of emotion recognition |
| title_full | The increasing instance of negative emotion reduce the performance of emotion recognition |
| title_fullStr | The increasing instance of negative emotion reduce the performance of emotion recognition |
| title_full_unstemmed | The increasing instance of negative emotion reduce the performance of emotion recognition |
| title_short | The increasing instance of negative emotion reduce the performance of emotion recognition |
| title_sort | increasing instance of negative emotion reduce the performance of emotion recognition |
| topic | affective computing emotion recognition EEG ECG experimental protocol designing negative emotion |
| url | https://www.frontiersin.org/articles/10.3389/fnhum.2023.1180533/full |
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