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

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

Article Citation :Sheik Arick Hasan ,Takahiro Fukuda ,Toshiya Watanabe ,Susumu Shibusawa , (2017 ) " Recipe-Recommendation System Based on Physical-Characteristics Recognition Using a Depth Image Sensor " , International Journal of Advances in Science, Engineering and Technology(IJASEAT) , pp. 28-33, Volume-5, Issue-1, Spl. Iss-3

Abstract : 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.

Type : Research paper

Published : Volume-5, Issue-1, Spl. Iss-3

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