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IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks
In this demonstration paper, we present the Anyplace system that relies on the abundance of sensory data on smartphones (e.g., WiFi signal strength and inertial measurements) to deliver reliable indoor geolocation information. Our system features two highly desirable properties, namely crowdsourcing and scalability. Anyplace implements a set of crowdsourcing-supportive mechanisms to handle the enormous amount of crowdsensed data, filter incorrect user contributions and exploit WiFi data fromdoi:10.1109/ipsn.2014.6846788 fatcat:sxccvbe2zngx7is3nbfqv6lnim