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Article

Recognition of Emotion According to the Physical Elements of the Video

1
Department of Emotion Engineering, University of Sangmyung, Seoul 03016, Korea
2
Department of Human-Centered Artificial Intelligence, University of Sangmyung, Seoul 03016, Korea
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(3), 649; https://doi.org/10.3390/s20030649
Received: 26 November 2019 / Revised: 16 January 2020 / Accepted: 22 January 2020 / Published: 24 January 2020
(This article belongs to the Special Issue Sensor Applications on Emotion Recognition)
The increasing interest in the effects of emotion on cognitive, social, and neural processes creates a constant need for efficient and reliable techniques for emotion elicitation. Emotions are important in many areas, especially in advertising design and video production. The impact of emotions on the audience plays an important role. This paper analyzes the physical elements in a two-dimensional emotion map by extracting the physical elements of a video (color, light intensity, sound, etc.). We used k-nearest neighbors (K-NN), support vector machine (SVM), and multilayer perceptron (MLP) classifiers in the machine learning method to accurately predict the four dimensions that express emotions, as well as summarize the relationship between the two-dimensional emotion space and physical elements when designing and producing video. View Full-Text
Keywords: emotion; physical elements; emotion recognition emotion; physical elements; emotion recognition
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MDPI and ACS Style

Zhang, J.; Wen, X.; Whang, M. Recognition of Emotion According to the Physical Elements of the Video. Sensors 2020, 20, 649. https://doi.org/10.3390/s20030649

AMA Style

Zhang J, Wen X, Whang M. Recognition of Emotion According to the Physical Elements of the Video. Sensors. 2020; 20(3):649. https://doi.org/10.3390/s20030649

Chicago/Turabian Style

Zhang, Jing; Wen, Xingyu; Whang, Mincheol. 2020. "Recognition of Emotion According to the Physical Elements of the Video" Sensors 20, no. 3: 649. https://doi.org/10.3390/s20030649

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