论文标题
对面：用腕上戴的加速度计探测脸部接触
FaceOff: Detecting Face Touching with a Wrist-Worn Accelerometer
论文作者
论文摘要
根据疾病预防控制中心的说法，防止自己冠状病毒（Covid-19）的关键步骤是避免用未洗手触摸眼睛，鼻子和嘴。但是，触摸自己的脸是一种频繁且自发的行为 - 一项研究观察到受试者平均每小时23次接触他们的脸。创意解决方案已经出现在最近的一些商业和业余爱好者项目中，但大多数是封闭消息或缺乏绩效验证的。我们使用商品腕上加速度计的传感技术开发出一种接触技术，以根据将手向脸抬起的特定运动模式来检测面部触摸行为。我们报告了一项调查（n = 20），该调查引起了人们触摸自己的脸的不同方式，该算法从时间上组合了数据驱动的模型，以识别何时发生面部触摸行为，并由初步的用户测试（n = 3，总计约90分钟）。
According to the CDC, one key step of preventing oneself from contracting coronavirus (COVID-19) is to avoid touching eyes, nose, and mouth with unwashed hands. However, touching one's face is a frequent and spontaneous behavior---one study observed subjects touching their faces on average 23 times per hour. Creative solutions have emerged amongst some recent commercial and hobbyists' projects, yet most either are closed-source or lack validation in performance. We develop FaceOff---a sensing technique using a commodity wrist-worn accelerometer to detect face-touching behavior based on the specific motion pattern of raising one's hand towards the face. We report a survey (N=20) that elicits different ways people touch their faces, an algorithm that temporally ensembles data-driven models to recognize when a face touching behavior occurs and results from a preliminary user testing (N=3 for a total of about 90 minutes).
