Suppr超能文献

具备捕捉饮食所需成像频率的自动化拍照手机体验。

Automated camera-phone experience with the frequency of imaging necessary to capture diet.

作者信息

Arab Lenore, Winter Ashley

机构信息

Department of Medicine, David Geffen School of Medicine at UCLA, 12-262 Factor Building, Box 951736, Los Angeles, CA 90095-1736, USA.

出版信息

J Am Diet Assoc. 2010 Aug;110(8):1238-41. doi: 10.1016/j.jada.2010.05.010.

Abstract

Camera-enabled cell phones provide an opportunity to strengthen dietary recall through automated imaging of foods eaten during a specified period. To explore the frequency of imaging needed to capture all foods eaten, we examined the number of images of individual foods consumed in a pilot study of automated imaging using camera phones set to an image-capture frequency of one snapshot every 10 seconds. Food images were tallied from 10 young adult subjects who wore the phone continuously during the work day and consented to share their images. Based on the number of images received for each eating experience, the pilot data suggest that automated capturing of images at a frequency of once every 10 seconds is adequate for recording foods consumed during regular meals, whereas a greater frequency of imaging is necessary to capture snacks and beverages eaten quickly.

摘要

具备拍照功能的手机提供了一个机会,可通过对特定时间段内所吃食物进行自动成像来强化饮食回忆。为探究捕捉所有所吃食物所需的成像频率,我们在一项初步研究中,对使用设置为每10秒拍摄一张快照的拍照手机进行自动成像的情况进行了检查,统计了所摄入的每种食物的图像数量。从10名年轻成年受试者那里收集了食物图像,这些受试者在工作日期间持续佩戴手机,并同意分享他们的图像。根据每次进食经历所收到的图像数量,初步数据表明,以每10秒一次的频率自动捕捉图像足以记录正餐期间所吃的食物,而对于快速食用的零食和饮料,则需要更高的成像频率才能捕捉到。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验