Dishes Extraction with Neural Network for Food Intake Measuring System

Koichi Fujiwara; Fumiaki Takeda; Hisaya Uchida; Sakoobunthu Lalita

doi:10.11499/sicep.2002.0.359.0

SICE Annual Conference 2002

DOI https://doi.org/10.11499/sicep.2002.0.359.0

Conference information

Host: The Society of Instrument and Control Engineers

Co-host: IEEE/Industiral Electronic Society, IEEE/Robotics and Automation Society, IEEE/Control System Society

Dishes Extraction with Neural Network for Food Intake Measuring System

Koichi Fujiwara, Fumiaki Takeda, Hisaya Uchida, Sakoobunthu Lalita

Author information

Keywords: Neural Network, Food intake, Discrimination, Extraction

CONFERENCE PROCEEDINGS FREE ACCESS

Pages 359

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Abstract

We have developed a food intake measuring system. This system measures food intake amount of each dish, which is put on the tray. Therefore, this system needs to extract dish image from the tray. In this paper, we propose neural network algorithm (the NN) for the dish extraction process. We expect the proposed method can extract dish image accurately, even if dish is over lapped partly each other. We develop the mechanism of dish extraction by the NN and simulate it by using real data to show its ability in practical use.

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