论文标题
智能手表的社交距离警报
Social Distancing Alert with Smartwatches
论文作者
论文摘要
社会距离是19日期大流行期间有效的公共卫生实践。但是，人们将在进行一些社交活动时不知不觉地违反社会疏远的练习，例如握手，拥抱，亲吻在脸部或额头上等等。 Soda利用加速度计和陀螺仪的录音来识别可能通过简单而有效的视觉变压器模型违反社会疏远实践的活动。超过10名志愿者和1800多种样品的广泛实验表明，苏打水的准确性为94.7％，1.8％的负警报和2.2％的静止警报，可以实现社交活动的认可。
Social distancing is an efficient public health practice during the COVID-19 pandemic. However, people would violate the social distancing practice unconsciously when they conduct some social activities such as handshaking, hugging, kissing on the face or forehead, etc. In this paper, we present SoDA, a social distancing practice violation alert system based on smartwatches, for preventing COVID-19 virus transmission. SoDA utilizes recordings of accelerometers and gyroscopes to recognize activities that may violate social distancing practice with simple yet effective Vision Transformer models. Extensive experiments over 10 volunteers and 1800+ samples demonstrate that SoDA achieves social activity recognition with the accuracy of 94.7%, 1.8% negative alert, and 2.2% missing alert.
