WiSH: WiFi-Based Real-Time Human Detection

• 来源期刊: 清华大学学报自然科学版（英文版）
• 年，卷（期）: 2019,（5）
• 页码范围: 615-629
• 页数: 15页
• 语种: 英文
• DOI: 10.26599/TST.2018.9010091

摘要

Sensorless sensing using wireless signals has been rapidly conceptualized and developed recently.Among numerous applications of WiFi-based sensing,human presence detection acts as a primary and fundamental function to boost applications in practice.Many complicated approaches have been proposed to achieve high detection accuracy,but they frequently omit various practical constraints such as real-time capability,computation efficiency,sampling rates,deployment efforts,etc.A practical detection system that works in realworld applications is lacking.In this paper,we design and implement WiSH,a real-time system for contactless human detection that is applicable for whole-day usage.WiSH employs lightweight yet effective methods and thus enables detection under practical conditions even on resource-limited devices with low signal sampling rates.We deploy WiSH on commodity desktops and customized tiny nodes in different everyday scenarios.The experimental results demonstrate the superior performance of WiSH,which has a detection accuracy of ＞98％ using a sampling rate of 20 Hz with an average detection delay of merely 1.5 s.Thus,we believe WiSH is a promising system for real-world deployment.