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Human Emotion Recognition: Review of Sensors and Methods

1
Faculty of Mechanics, Vilnius Gediminas Technical University, J. Basanaviciaus g. 28, LT-03224 Vilnius, Lithuania
2
Faculty of Civil engineering, Vilnius Gediminas Technical University, Sauletekio ave. 11, LT-10223 Vilnius, Lithuania
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Author to whom correspondence should be addressed.
Sensors 2020, 20(3), 592; https://doi.org/10.3390/s20030592
Received: 11 December 2019 / Revised: 10 January 2020 / Accepted: 12 January 2020 / Published: 21 January 2020
(This article belongs to the Section Biomedical Sensors)
Automated emotion recognition (AEE) is an important issue in various fields of activities which use human emotional reactions as a signal for marketing, technical equipment, or human–robot interaction. This paper analyzes scientific research and technical papers for sensor use analysis, among various methods implemented or researched. This paper covers a few classes of sensors, using contactless methods as well as contact and skin-penetrating electrodes for human emotion detection and the measurement of their intensity. The results of the analysis performed in this paper present applicable methods for each type of emotion and their intensity and propose their classification. The classification of emotion sensors is presented to reveal area of application and expected outcomes from each method, as well as their limitations. This paper should be relevant for researchers using human emotion evaluation and analysis, when there is a need to choose a proper method for their purposes or to find alternative decisions. Based on the analyzed human emotion recognition sensors and methods, we developed some practical applications for humanizing the Internet of Things (IoT) and affective computing systems. View Full-Text
Keywords: human emotions; emotion perception; physiologic sensors human emotions; emotion perception; physiologic sensors
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Dzedzickis, A.; Kaklauskas, A.; Bucinskas, V. Human Emotion Recognition: Review of Sensors and Methods. Sensors 2020, 20, 592.

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