E-eyes

Activity monitoring in home environments has become increasingly important and has the potential to support a broad array of applications including elder care, well-being management, and latchkey child safety. Traditional approaches involve wearable sensors and specialized hardware installations. This paper presents device-free location-oriented activity identification at home through the use of existing WiFi access points and WiFi devices (e.g., desktops, thermostats, refrigerators, smartTVs, laptops). Our low-cost system takes advantage of the ever more complex web of WiFi links between such devices and the increasingly fine-grained channel state information that can be extracted from such links. It examines…

• NS
  National Science Foundation
• DO
  Division of Computer and Network Systems

  Awards: CNS 1217387, CNS 0845896
• DO
  Division of Information and Intelligent Systems

  Award: IIS-1211079