Paper: Discovering Places of Interest Using Sensor Data from Smartphones and Wearables

(May 10, 2017) Congrats to Chris Poellabauer’s student Sudip Vhaduri who led the efforts on a NetSense-based full paper for IEEE UIC (IEEE Ubiquitous Intelligence and Computing 2017).  The paper entitled “Discovering Places of Interest Using Sensor Data from Smartphones and Wearables” focuses on location clustering and leveraging nearby devices for improved location information.  The paper draws from our past NetSense work using Bluetooth, WiFi, and GPS data.  A nice work top off a fantastic PhD proposal earlier in the week by Sudip.

S. Vhaduri, C. Poellabauer, A. Striegel, O. Lizardo and D. Hachen, “Discovering Places of Interest Using Sensor Data from Smartphones and Wearables,” to appear in Proc. of IEEE UIC (Ubiquitous Intelligence and Computing), 2017.