The Cricket location-support system
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Tracking moving devices with the cricket location system
Proceedings of the 2nd international conference on Mobile systems, applications, and services
VOR base stations for indoor 802.11 positioning
Proceedings of the 10th annual international conference on Mobile computing and networking
The Horus WLAN location determination system
Proceedings of the 3rd international conference on Mobile systems, applications, and services
PinPoint: An Asynchronous Time-Based Location Determination System
Proceedings of the 4th international conference on Mobile systems, applications and services
Indoor localization without the pain
Proceedings of the sixteenth annual international conference on Mobile computing and networking
SecureAngle: improving wireless security using angle-of-arrival information
Hotnets-IX Proceedings of the 9th ACM SIGCOMM Workshop on Hot Topics in Networks
I am the antenna: accurate outdoor AP location using smartphones
MobiCom '11 Proceedings of the 17th annual international conference on Mobile computing and networking
Precise indoor localization using PHY layer information
Proceedings of the 10th ACM Workshop on Hot Topics in Networks
Zee: zero-effort crowdsourcing for indoor localization
Proceedings of the 18th annual international conference on Mobile computing and networking
Avoiding multipath to revive inbuilding WiFi localization
Proceeding of the 11th annual international conference on Mobile systems, applications, and services
A model for WLAN signal attenuation of the human body
Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing
From RSSI to CSI: Indoor localization via channel response
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The rapid growth of location-based applications has spurred extensive research on localization. Nonetheless, indoor localization remains an elusive problem mostly because the accurate techniques come at the expense of cumbersome war-driving or additional infrastructure. Towards a solution that is easier to adopt, we propose SpinLoc that is free from these requirements. Instead, SpinLoc levies a little bit of the localization burden on the humans, expecting them to rotate around once to estimate their locations. Our main observation is that wireless signals attenuate differently, based on how the human body is blocking the signal. We find that this attenuation can reveal the directions of the APs in indoor environments, ultimately leading to localization. This paper studies the feasibility of SpinLoc in real-world indoor environments using off-the-shelf WiFi hardware. Our preliminary evaluation demonstrates accuracies comparable toschemes that rely on expensive war-driving.