论文标题
收集大型行为数据以衡量针对肥胖的行为
Collecting big behavioral data for measuring behavior against obesity
论文作者
论文摘要
肥胖目前正在影响全球人口的大部分。有效的预防和治疗从很小的时候开始，需要在地区/邻里规模上客观地了解人口水平的行为。为此，我们提出了一个系统，用于客观和自动提取和收集个人级别的行为信息。行为信息与体育活动，访问的地方类型以及使用的运输模式有关。该系统采用了我们在公开可用数据集上评估的文献中的指标 - 萃取算法。该系统是在欧盟资助的BIGO项目的背景下开发和集成的，该项目旨在防止年轻人口的肥胖症。
Obesity is currently affecting very large portions of the global population. Effective prevention and treatment starts at the early age and requires objective knowledge of population-level behavior on the region/neighborhood scale. To this end, we present a system for extracting and collecting behavioral information on the individual-level objectively and automatically. The behavioral information is related to physical activity, types of visited places, and transportation mode used between them. The system employs indicator-extraction algorithms from the literature which we evaluate on publicly available datasets. The system has been developed and integrated in the context of the EU-funded BigO project that aims at preventing obesity in young populations.
