My research focuses on machine learning, signal processing, data mining, and ubiquitous computing with applications in location intelligence, occupancy sensing, location-based and context-aware service, smart buildings, Indoor Positioning System (IPS) and Internet of Things (IoT).Demos on YouTube » IPS Live Demo at UCB »
Location-based Services Indoor Localization WiFi
We designed WinIPS, a novel non-intrusive (no App installation) WiFi-based indoor positioning system (IPS) with a user-friendly web interface for reliable indoor navigation and real-time occupancy sensing. WinIPS has been deployed and implemented in 11 distinct indoor environments with 95000 ft2 in U.S.A., Singapore, Taiwan and Germany.
Location-based Services Indoor Localization Smart Home
We developed an occupancy-driven lighting control system, WinLight, that is able to turn on/off lights automatically based on the real-time location of the customer estimated by our WiFi-based IPS. Moreover, it adjusts the brightness level of each lamp according to customer's luminance preferences to realize personalized lighting comfort in smart home.
Location-based Services WiFi iBeacon
We developed a framework by integrating GPS (outdoor), iBeacon (semi-outdoor) and WiFi (indoor) for accurate and energy efficient indoor-outdoor detection with fast-response, and seamless navigation in all environments.
Location-based Services Indoor Localization Wearable Device
We integrated our WiFi-based IPS to realize seamless indoor positioning and navigation services for customers with optimal path guidance on wearable devices such as Google Glass.
Technical Program Committee