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Vol. 172, 2020, 108747

Physiological-signal-based emotion recognition: An odyssey from methodology to philosophy

WeiLi, Zhen Zhang, Aiguo Song

School of Instrument Science and Engineering, Southeast University, Nanjing, 210096, China.


Exploration on emotions continues from past to present. Nowadays, with the rapid advancement of intelligent technology, computer-aided emotion recognition using physiological signals has attracted increasing academic interests. Notwithstanding so, the research progress of this issue seemed to meet a bottleneck in the last decade without any substantial breakthrough. It naturally motivates us to thoroughly review and deeply rethink the current status and the future prospect of this issue. This work has provided a comprehensive overview and systematic taxonomy for physiological-signal-based emotion recognition. To do so, this work has made an unprecedented odyssey from signal properties through solution strategies to intrinsic principles. On the way, this paper has spared no effort to hunt the treasures about methodological essence and philosophical insight, draw the panorama of state-of-the-arts, and outlook the development of technologies. We expect all these discoveries and contributions can be beneficial for inspiring and guiding research innovations in the future.

Keywords :Emotion recognition; Physiological signals; Overview and taxonomy; Methodological essence; Philosophical insight.

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