Junqing Shang, K. Sundara-Rajan, Levi Lindsey, A. Mamishev, Eric Johnson, A. Teredesai, A. Kristal
{"title":"一个普遍的饮食数据记录系统","authors":"Junqing Shang, K. Sundara-Rajan, Levi Lindsey, A. Mamishev, Eric Johnson, A. Teredesai, A. Kristal","doi":"10.1109/PERCOMW.2011.5766890","DOIUrl":null,"url":null,"abstract":"Electronic sensors and various digital devices have been quite successful in improving collection of physical activity data in a pervasive manner, and we believe that advances in dietary assessment can be achieved using similar strategies. Dietary assessment is a critical yet understudied component within the domain of recent advances in electronic health records management. The design of a system for real-time recording of food intake requires considerable research to optimize both system characteristics and data collection procedures, and rigorous validation to confirm its superiority compared to paper-based methods for self-report. We propose to demonstrate a functional prototype of a Dietary Data Recording System (DDRS), which consists of an electronic data collection device and the software and protocols necessary to support data capture and calculation of nutrient intake. A key innovative feature of the DDRS is the use of a video camera and a laser-generated grid of distances to food surfaces, which allows calculation of food volume. This prototype system is a first step in designing an overall framework to support a realistic and rigorous evaluation of whether real-time, electronic collection of dietary data is feasible, acceptable and valid for better health data management. Components demonstrated include a real-time data collection application based on the Google Android OS, a stream based data transfer and on the fly evaluation.","PeriodicalId":369430,"journal":{"name":"2011 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"24","resultStr":"{\"title\":\"A pervasive Dietary Data Recording System\",\"authors\":\"Junqing Shang, K. Sundara-Rajan, Levi Lindsey, A. Mamishev, Eric Johnson, A. Teredesai, A. Kristal\",\"doi\":\"10.1109/PERCOMW.2011.5766890\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Electronic sensors and various digital devices have been quite successful in improving collection of physical activity data in a pervasive manner, and we believe that advances in dietary assessment can be achieved using similar strategies. Dietary assessment is a critical yet understudied component within the domain of recent advances in electronic health records management. The design of a system for real-time recording of food intake requires considerable research to optimize both system characteristics and data collection procedures, and rigorous validation to confirm its superiority compared to paper-based methods for self-report. We propose to demonstrate a functional prototype of a Dietary Data Recording System (DDRS), which consists of an electronic data collection device and the software and protocols necessary to support data capture and calculation of nutrient intake. A key innovative feature of the DDRS is the use of a video camera and a laser-generated grid of distances to food surfaces, which allows calculation of food volume. This prototype system is a first step in designing an overall framework to support a realistic and rigorous evaluation of whether real-time, electronic collection of dietary data is feasible, acceptable and valid for better health data management. Components demonstrated include a real-time data collection application based on the Google Android OS, a stream based data transfer and on the fly evaluation.\",\"PeriodicalId\":369430,\"journal\":{\"name\":\"2011 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)\",\"volume\":\"38 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-03-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"24\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PERCOMW.2011.5766890\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PERCOMW.2011.5766890","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Electronic sensors and various digital devices have been quite successful in improving collection of physical activity data in a pervasive manner, and we believe that advances in dietary assessment can be achieved using similar strategies. Dietary assessment is a critical yet understudied component within the domain of recent advances in electronic health records management. The design of a system for real-time recording of food intake requires considerable research to optimize both system characteristics and data collection procedures, and rigorous validation to confirm its superiority compared to paper-based methods for self-report. We propose to demonstrate a functional prototype of a Dietary Data Recording System (DDRS), which consists of an electronic data collection device and the software and protocols necessary to support data capture and calculation of nutrient intake. A key innovative feature of the DDRS is the use of a video camera and a laser-generated grid of distances to food surfaces, which allows calculation of food volume. This prototype system is a first step in designing an overall framework to support a realistic and rigorous evaluation of whether real-time, electronic collection of dietary data is feasible, acceptable and valid for better health data management. Components demonstrated include a real-time data collection application based on the Google Android OS, a stream based data transfer and on the fly evaluation.