吸烟是全球可预防死亡的主要原因。香烟烟雾包括数千种有害并导致烟草相关疾病的化学物质。迄今为止,人类暴露于特定化合物和有害影响之间的因果关系是未知的。缩小知识差距的第一步是测量吸烟地形,或者吸烟者是如何吸烟的(泡芙,抽吸体积,和持续时间)。然而,当前吸烟地形的黄金标准方法涉及昂贵的,笨重,和突出的传感器设备,创造不自然的吸烟行为,并阻止他们在野外进行实时干预的可能性。尽管基于运动的可穿戴传感器及其相应的机器学习模型在轻松跟踪吸烟手势方面表现出了希望,他们因混淆吸烟与其他类似的手口手势,如吃饭和喝酒而臭名昭著。在本文中,我们展示SmokeMon,胸部佩戴的热感应可穿戴系统,可以捕捉空间,temporal,以及佩戴者和香烟周围的热量信息,全天不引人注意地和被动地检测吸烟事件。我们还开发了一个基于深度学习的框架来提取抽吸和吸烟地形。我们在控制和自由生活实验中评估了SmokeMon,共有19名参与者,超过110小时的数据,115次吸烟,在实验室中进行抽吸检测的F1评分为0.9,在野外为0.8。通过提供SmokeMon作为一个开放平台,我们提供自由生活环境中吸烟地形的测量,以便在现实世界中测试吸烟地形,有可能促进及时戒烟干预。
Smoking is the leading cause of preventable death worldwide. Cigarette smoke includes thousands of chemicals that are harmful and cause tobacco-related diseases. To date, the causality between human exposure to specific compounds and the harmful effects is unknown. A first step in closing the gap in knowledge has been measuring smoking topography, or how the smoker smokes the cigarette (puffs, puff volume, and duration). However, current gold-standard approaches to smoking topography involve expensive, bulky, and obtrusive sensor devices, creating unnatural smoking behavior and preventing their potential for real-time interventions in the wild. Although motion-based wearable sensors and their corresponding machine-learned models have shown promise in unobtrusively tracking smoking gestures, they are notorious for confounding smoking with other similar hand-to-mouth gestures such as eating and drinking. In this paper, we present SmokeMon, a chest-worn thermal-sensing wearable system that can capture spatial, temporal, and thermal information around the wearer and cigarette all day to unobtrusively and passively detect smoking events. We also developed a deep learning-based framework to extract puffs and smoking topography. We evaluate SmokeMon in both controlled and free-living experiments with a total of 19 participants, more than 110 hours of data, and 115 smoking sessions achieving an F1-score of 0.9 for puff detection in the laboratory and 0.8 in the wild. By providing SmokeMon as an open platform, we provide measurement of smoking topography in free-living settings to enable testing of smoking topography in the real world, with potential to facilitate timely smoking cessation interventions.