Development of a Smartphone-Based Virtual Sensor for Detecting Smoking Behavior

在美国，吸烟是导致死亡和残疾的主要可预防原因；在世界范围内，每年有5000万人过早死亡。大多数吸烟者都表达了戒烟的愿望，每年有一半以上的人会戒烟。然而，只有不到7%的戒烟者能够长期戒酒。对于尝试戒烟（即戒烟失败）后第一支烟的直接和可预测的前因，包括情况（如有其他吸烟者在场）和活动（如饮酒），我们了解很多。虽然理想情况下，这些信息可以用来开发一个系统，实时检测这些预测的先决条件，并提供及时的干预；到目前为止，还没有开发出这样的系统。我们研究项目的首要目标是开发和测试这样一个使用智能手机技术的系统。这里开发的系统可以被纳入不同的应用平台，目标是改变吸烟和其他多种与健康相关的行为，包括药物和酒精使用、食物消费和体育活动。

Cigarette smoking is the leading preventable cause of death and disability in the U.S.; worldwide it results in >5,000,000 premature deaths each year. The majority of smokers express a desire to quit, and each year more than half will. However, less than 7% of those who quit will achieve long-term abstinence. Much is known about the immediate and predictive antecedents of the first cigarette following a quit attempt (i.e. lapse), which include situations (e.g. presence of other smokers) and activities (e.g. alcohol consumption). While ideally this information could be used to develop a system that detects these predictive antecedents in real-time and provides just-in-time intervention; to date no such systems have been developed. The overarching goal of our research program is to develop and test such a system that uses smartphone technology. The system developed here can be incorporated into diverse application platforms that target the modification of smoking and multiple other health related behaviors including drug and alcohol use, food consumption and physical activity.