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

在美国，吸烟是主要的可预防的死亡和残疾原因；在世界范围内，它每年导致500万人过早死亡。大多数吸烟者表达了戒烟的愿望，每年都有超过一半的吸烟者会戒烟。然而，在那些戒烟的人中，只有不到7%的人会实现长期禁欲。很多人都知道戒烟尝试(即戒烟失败)后第一支烟的直接和预测性前因，其中包括情况(例如，其他吸烟者的存在)和活动(例如，饮酒)。虽然理想情况下，这些信息可以用来开发一种系统，实时检测这些预测前兆，并提供及时干预；但迄今为止，还没有开发出这样的系统。我们研究计划的总体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整合到不同的应用平台中，针对吸烟和多种其他与健康相关的行为，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.