Yanisa Usthasopha, Suphakant Phimoltares, N. Cooharojananone
{"title":"Nutrition Counseling System and Food Menu Planning","authors":"Yanisa Usthasopha, Suphakant Phimoltares, N. Cooharojananone","doi":"10.1109/ICISA.2010.5480421","DOIUrl":null,"url":null,"abstract":"In recent years the effects of industrial growth have resulted in drastic changes in consuming behavior, standard of living, and lifestyles. In particular there has been a significant rise in the number of people who eat out regularly. This often means that they cannot control the characteristics of the food they take, such as its taste, calories per portion, and other nutritional details. As a result they may become prone to obesity. Today people are confronted with more difficult decisions about how to select food items suitable to their nutritional needs. In this paper, we present a new nutrition counseling system for food menu planning (NCS). This NCS not only assists in finding the appropriate menu for users, by entering data parameters such as gender, age, height, weight, exercise activity and favorite food but also provides meals customized to each individual nutritional profile. In the near future such systems might become integral to an encompassing lifestyle health information system.","PeriodicalId":313762,"journal":{"name":"2010 International Conference on Information Science and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Information Science and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICISA.2010.5480421","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In recent years the effects of industrial growth have resulted in drastic changes in consuming behavior, standard of living, and lifestyles. In particular there has been a significant rise in the number of people who eat out regularly. This often means that they cannot control the characteristics of the food they take, such as its taste, calories per portion, and other nutritional details. As a result they may become prone to obesity. Today people are confronted with more difficult decisions about how to select food items suitable to their nutritional needs. In this paper, we present a new nutrition counseling system for food menu planning (NCS). This NCS not only assists in finding the appropriate menu for users, by entering data parameters such as gender, age, height, weight, exercise activity and favorite food but also provides meals customized to each individual nutritional profile. In the near future such systems might become integral to an encompassing lifestyle health information system.