海报:SaveAlert:一个高效和可扩展的传感器驱动的危险检测系统

Güliz Seray Tuncay, Kirill Varshavskiy, R. Kravets, K. Nahrstedt
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引用次数: 0

摘要

SaveAlert是一个自适应框架,用于人群监测和危险检测,使用现成的智能手机和其他外围设备,如智能手表。该系统仅依靠从用户那里收集的传感器数据,通过检测和通知迫在眉睫的危险,为用户提供对周围环境的增强意识。我们的框架的新颖之处在于,它如何通过限制对现有Wi-Fi和蜂窝基础设施的干扰和压力,从潜在的大量人群中高效地收集传感器数据。据我们所知,这是第一个利用点对点连接来执行本地聚合的人群监控框架,以减轻对现有基础设施的压力,从而获得更好的可伸缩性和效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Poster: SaveAlert: an efficient and scalable sensor-driven danger detection system
SaveAlert is an adaptive framework for crowd-monitoring and danger-detection using off-the-shelf smartphones and other peripherals such as smartwatches. It is a system that provides users with an increased awareness of their surroundings by detecting and notifying them of impending danger, by relying only on sensor data collected from the users. Our framework's novelty is in how it performs efficient sensor data collection from potentially a large number of people by limiting the disturbance and stress on the existing Wi-Fi and cellular infrastructure. To the best of our knowledge, this is the first crowd-monitoring framework that takes advantage of peer-to-peer connections to perform local aggregation to alleviate the stress on existing infrastructures for better scalability and efficiency.
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