Extracting the features of emotion from EEG signals and classify using affective computing

Research article (2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), 2017) · cited 12× · AI/ML
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Extracting the features of emotion from EEG signals and classify using affective computing

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Extracting the features of emotion from EEG signals and classify using affective computing is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Extracting the features of emotion from EEG signals and classify using affective computing. Retrieved May 24, 2026, from https://4ort.xyz/entity/extracting-the-features-of-emotion-from-eeg-signals-and-classify-using-affective-computing
MLA “Extracting the features of emotion from EEG signals and classify using affective computing.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/extracting-the-features-of-emotion-from-eeg-signals-and-classify-using-affective-computing.
BibTeX @misc{4ortxyz_extracting-the-features-of-emotion-from-eeg-signals-and-classify-using-affective-computing_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Extracting the features of emotion from EEG signals and classify using affective computing}}, year = {2026}, url = {https://4ort.xyz/entity/extracting-the-features-of-emotion-from-eeg-signals-and-classify-using-affective-computing}, note = {Accessed: 2026-05-24}}
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