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http://dx.doi.org/10.5302/J.ICROS.2007.13.9.825

Implementation of Human and Computer Interface for Detecting Human Emotion Using Neural Network  

Cho, Ki-Ho (원자력연구소 Open culture)
Choi, Ho-Jin (충남대학교 BK21 Mechatronics Group)
Jung, Seul (충남대학교 BK21 Mechatronics Group)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.13, no.9, 2007 , pp. 825-831 More about this Journal
Abstract
In this paper, an interface between a human and a computer is presented. The human and computer interface(HCI) serves as another area of human and machine interfaces. Methods for the HCI we used are voice recognition and image recognition for detecting human's emotional feelings. The idea is that the computer can recognize the present emotional state of the human operator, and amuses him/her in various ways such as turning on musics, searching webs, and talking. For the image recognition process, the human face is captured, and eye and mouth are selected from the facial image for recognition. To train images of the mouth, we use the Hopfield Net. The results show 88%$\sim$92% recognition of the emotion. For the vocal recognition, neural network shows 80%$\sim$98% recognition of voice.
Keywords
human and computer interface; neural network; voice and image recognition;
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