International Journal of Advances in Science, Engineering and Technology(IJASEAT)
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Volume-8,Issue-2  ( Apr, 2020 )
Statistics report
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
  Journal Paper

Paper Title
Recipe-Recommendation System Based on Physical-Characteristics Recognition Using a Depth Image Sensor

With the development of information technology, it has become easy to construct a system to recommend favorite products to customers. Owing to the increase in lifestyle-related diseases such as high blood pressure or diabetes, a nutriment-based recipe recommendation system is in great demand for national health. Based on Dietary Reference Intakes for Japanese, a research to estimate nutriments per meal from physical characteristics and recommend a recipe has been performed. A “recipe-recommendation system” that considers nutrients on the basis of a user’s physical characteristics acquired by depth image sensor was designed, developed and evaluated. The system extracts the physical characteristics namely “age”, “gender”, “height”, “weight”, and “body mass index (BMI)” in a short time and estimates the required amounts of nutrients per meal. It then finds a combination of dishes that suit the user’s taste from a cooking database and recommends a menu of dishes to the user. From experiments on recognition accuracy of the system, average recognition accuracy of user physical characteristics was 89%. Moreover, the recipe recommendation based on physical characteristics acquired by depth image sensor was confirmed to be sufficient. Index Terms— Recipe-recommendation system, human-body recognition, depth image sensor, joint position, dietary reference intakes, physical characteristics.

Author - Sheik Arick Hasan, Takahiro Fukuda, Toshiya Watanabe, Susumu Shibusawa

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| Published on 2017-06-01
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