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A Design and Implementation Digital Vessel Bio Emotion Recognition LED Control System  

Song, Byoung-Ho (Computer Science & Statistics, Choson University)
Oh, Il-Whan (Dept. of Information & Electronics, Mokpo National University)
Lee, Seong-Ro (Dept. of Information & Electronics, Mokpo National University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.48, no.2, 2011 , pp. 102-108 More about this Journal
Abstract
The existing vessels lighting control system has several problems, which are complexity of construction and high cost of establishment and maintenance. In this paper, We designed low cost and high performance lighting control system at digital vessel environment. We proposed a system which recognize the user's emotions after obtaining the biological informations about user's bio information(pulse sensor, blood pressure sensor, blood sugar sensor etc) through wireless sensors controls the LED Lights. This system classified emotions using backpropagation algorithm. We chose 3,000 data sets to train the backpropagation algorithm. As a result, obtained about 88.7% accuracy. And the classified emotions find the most appropriate point in the method of controlling the waves or frequencies to the red, green, blue LED Lamp comparing with the 20-color-emotion models in the HP's 'The meaning of color' and control the brightness or contrast of the LED Lamp. In this method, the system saved about 20% of the electricity consumed.
Keywords
Bio Emotion Recognition; LED; Backpropagation; Emotion Modeling; Digtal Vessel;
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Times Cited By KSCI : 1  (Citation Analysis)
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