Abstract

Over the last 5 years, I have been working to build and deploy context-aware mobile applications, based on sensor data from personal mobile & wearable devices. In this talk, I will detail two key themes of my research. First, I will describe work on wearable analytics that uses sensor data from personal wearable devices (e.g., smartwatches) and cheap IoT platforms to capture fine-grained insights on daily lifestyle activities, such as in-store shopping & eating. Next, I shall describe research insights driven by real-world deployments of context-aware mobile crowdsourcing, both on campus and across the city, where a large pool of participatory individuals perform a variety of location-specific tasks. Finally, I shall briefly describe recently-initiated work on socio-physical analytics that fuses physical sensing of urban resources (such as buses, taxis and parking garages) with social media sensing to support fine-grained characterization of urban events.