學術資源整合系統-相關推薦
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| 作者 | Min-Feng Lee, Guey-Shya Chen, Jason C. Hung, Kuan-Cheng Lin, and Jen-Chieh Wang |
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| 出版日期 | 2016 |
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| 著作名稱 | Data mining in emotion color with affective computing.
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| 卷 | 1-14. (SCI,IF:1.346) |
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| 摘要 | This research applies an innovative way to measure and identify user’s emotion
with different ingredient color. How to find an intuitive way to understand human emotion is
the key point in this research. The RGB color system that is widely used of all forms computer
system is an accumulative color system in which red, green, and blue light are added together
showing entire color. This study was based on Thayer’s emotion model which classifies the
emotions with two vectors, valence and arousal, and gathers the emotion color with RGB
as input for calculating and forecasting user’s emotion. In this experiment, using 320 data
divide to quarter into emotion groups to train the weight in the neural network and uses
160 data to prove the accuracy. The result reveals that this model can be valid reckon the
emotion by reply color response from user. In other hand, this experiment found that
trend of the different ingredient of color on Cartesian coordinate system figures out the
distinguishing intensity in RGB color system. Via the foregoing detect emotion model is
going to design an affective computing intelligence framework try to embed the emotion
component in it. |
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| 系統號 | NO000003989 |
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