iDietScoreᵀᴹ: Meal Recommender System for Athletes and Active Individuals

Individualized meal planning is a nutrition counseling strategy that focuses on improving food behavior changes. In the sports setting, the number of experts who are sports dietitians or nutritionists (SD/SN) is small in number, and yet the demand for creating meal planning for a vast number of athl...

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Bibliographic Details
Published inInternational journal of advanced computer science & applications Vol. 11; no. 12
Main Authors Mustafa, Norashikin, Hadi, Abdul, Samsiah, Nor, Izham, Mohd, Zawawi, Ahmad, Ahmad, Azimah, Hafizah, Noor, Abd, Ruzita, Bee, Poh, Shanita, Nik
Format Journal Article
LanguageEnglish
Published West Yorkshire Science and Information (SAI) Organization Limited 2020
Subjects
Applications programs
Athletes
Expert systems
Food
Knowledge acquisition
Mobile computing
Planning
Recommender systems
Sports
Systems design
Training
Workflow
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Summary:Individualized meal planning is a nutrition counseling strategy that focuses on improving food behavior changes. In the sports setting, the number of experts who are sports dietitians or nutritionists (SD/SN) is small in number, and yet the demand for creating meal planning for a vast number of athletes often cannot be met. Although some food recommender system had been proposed to provide healthy menu planning for the general population, no similar solution focused on the athlete's needs. In this study, the iDietScoreTM architecture was proposed to give athletes and active individuals virtual individualized meal planning based on their profile, includes energy and macronutrients requirement, sports category, age group, training cycles, training time and individual food preferences. Knowledge acquisition on the expert domain (the SN) was conducted prior to the system design through a semi-structured interview to understand meal planning activities' workflow. The architecture comprises: (1) iDietScoreTM web for SN/SD, (2) mobile application for athletes and active individuals and (3) expert system. SN/SD used the iDietScoreTM web to develop a meal plan and initiate the compilation meal plan database for further use in the expert system. The user used iDietScoreTM mobile app to receive the virtual individualized meal plan. An inference-based expert system was applied in the current study to generate the meal plan recommendation and meal reconstruction for the user. Further research is necessary to evaluate the prototype's usability by the target user (athletes and active individuals).
ISSN:2158-107X
2156-5570
DOI:10.14569/IJACSA.2020.0111234