Proceedings of the Fuzzy System Symposium
26th Fuzzy System Symposium
Session ID : MF2-1
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Classification Method of Learning Situations in Simple Sensing Environment for the Cooking Learning Support System
*Yuko AkaiMasaru OkamotoYukihiro MatsubaraNoriyuki Iwane
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Abstract
In this paper, new classification method of situations in sensing environment using web camera device for cooking learning support was proposed. For usability and portability of learning environment, in this system valuable information, such as user's hand position, state of cooking devices and position of ingredients, are measured from marker's move. Moreover, by positions of marker are classified into divided area (a part of kitchen), it is expected that learning situations can be easily compared with collect data by learning support system. In addition, user can be indicated virtual environment that integrated movie and 3D objects (such as cooking devices and ingredients) by using Head Mounted Display. This integrated visualization support can help user learn cooking process with realistic sensation. This experimental result indicated that proposed method can measure the position of markers in working environment with high accuracy. Furthermore, it is shown that the series of area calculated based on user's cooking process can be accurately estimated.
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© 2010 Japan Society for Fuzzy Theory and Intelligent Informatics
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