Improving Context-Aware Applications and Services

Christian's team studies systems and methods that combine various types and sources of information to develop new or improved context-aware applications and services. Examples of such research challenges include: how can we reduce localization and tracking errors using opportunistic sharing of data between mobile devices; how can we detect and assess health problems using information collected from mobile device and wearables; and what can we learn about the relationships between behaviors, health and wellbeing, social ties, etc., using data collected from smartphones?

Using CrowdSignals.io Data

The key to building context-aware services is access to large-scale and longitudinal data sets, which are difficult to collect. The CrowdSignals.io data will provide contextual information that can help Christian's team to answer various questions about human behavior and correlations between various forms of activities, traits, and preferences.

Learn More

M-Lab: http://m-lab.cse.nd.edu
Homepage: http://www.cse.nd.edu/~cpoellab