Title : : Development of novel mobile application (doodle car) using doodles in nutrition education based on existing machine learning service
Background: The use of machine learning to support everyday human activities is yet to be adequately explored. Based on an out of the box thinking paradigm, we present a concept of using user5 drawn doodles for communication and reporting of food item and its portion size in the domain of nutrition education. This paper investigates the transformation and utilization of existing machine learning services.
Method: A prototype mobile app named DoodleCar (Doodle Calorie) is developed and demonstrated. We invite three senior dieticians to evaluate its potential.
Results: Current applications for dietary intake reporting can potentially be enhanced to promote nutrition education for macronutrients and food groups among children.
Conclusions: This paper provides a reference for research exploring value-added applications based on existing AI services.
Keywords: Machine Learning, Food Portion Communication, Nutrition Education, Mobile Application, Doodle, AutoDraw, Design Innovation