Quadratic sample entropy applied to EEG recordings can identify emotional distress with approximately 70% accuracy, offering a new metric for emotion recognition.
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Novel entropy metrics may aid physiological emotion recognition; hypothesis-generating and leaves open clinical validation in human-machine interfaces.
García-Martínez et al. (2016) studied this question.
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