I build systems for recognizing human state, especially human behavior, based on sensor data. My focus is on statistical algorithms for recognition, but I am interested in sensor design, model elicitation, infrastructure design and high-performance/low-power implementations as well. My early work showed how a new breed of sensors based on Radio Frequency Identification (RFID), when combined with state of the art statistical reasoning techniques, can dramatically improve practical human activity recognition. More recently, I have focused on using mobile vision and 3-D footage to improve recognition quality.

I have a strong parallel interest in applying behavior-monitoring technologies to the problem of providing care, elder care in particular. I have helped build, deploy and evaluate several such systems in partnership with Intel's Digital Health business unit and the US Department of Veterans Affairs.