Bustle: Using Hitchhiking to Monitor Meaningful Locations
Tang, K.P.
Fogarty, J.
Keyani, P.
Hong, J.I.
Human Comput. Interaction Inst., Carnegie Mellon Univ., Pittsburgh, PA;
Abstract
Hitchhiking is a client-focused, software-based approach to anonymous and privacy-sensitive collection of sensed data in location-based applications. In this paper, we demonstrate hitchhiking by implementing a WiFi-based location-centric service called Bustle. Using only software sensors, Bustle models the busyness of coffee shops while incorporating hitchhiking principles to protect the anonymity and privacy of the application users
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