HIGHLIGHTS
- who: Studies on Emotion Recognition et al. from the School of Media and Design, Hangzhou Dianzi University, Hangzhou, China have published the paper: Review of, in the Journal: (JOURNAL)
- what: The results showed that the integration of the above framework and the model presented the highest accuracy in emotion classification based on the signal features of ECG, EDA, respiration and skin temperature. As a summary, Table 4 lists the practical occasions for the use of different physiological signals in the research described in this paper, so as to understand the scenarios for the use of . . .
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