Soft Computing Technique in Kansei (Emotional) Information Processing

  • Takehisa Onisawa
Part of the Computer Science Workbench book series (WORKBENCH)


In human face-to-face communication, not only language but also voice pitch, facial expressions and a gesture are employed in order to have a smooth communication. The former is called verbal information and the latter is non-verbal information [1]. On the other hand, in human-computer interaction only a character, a numeric character and a symbolic character, which are a kind of verbal information, were used as the main conveyance way in the early days of a computer. Human-computer interaction was done by only verbal information because of poor technology, and it cannot help being recognized that a computer system was designed by a machine-oriented way in these days. As the recent development of multimedia technology, however, human-computer interaction can be performed by the use of sound information and image information as well as language information. And studies on human interface and human-computer interaction aiming at a human-friendly system have started [2]. These recent studies deal with non-verbal information aiming at having smooth communication between human and computer like human face-to-face communication. The non-verbal information is not confined to the above-mentioned information such as image information and sound information, and includes voice pitch, facial expressions, a gesture, so called human feelings information. Hereafter in this chapter these pieces of human feelings information are called Kansei information [3]-[7].


Facial Expression Neural Network Model Model Recognition Soft Computing Technique Feature Term 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  • Takehisa Onisawa

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