SMART-STATS.ORG

We work on Statistically principled methods for new technologies with special emphasis on brain imaging (e.g. fMRI, high resolution MRI, CT), wearable computing (e.g. hip accelerometers, heart monitors), and Biosignals (e.g. EEG, EKG, ECoG). The underlying principle is to develop methods that are automated, fast, scalable, and robust (AFSR.) Our analytic approaches are sometimes focused only on one subject, but typically we are investigating large populations observed at one or multiple time points... The SMART group has an active working subgroup in wearable computing and accelerometry. Here's a cartoon version of Brian explaining some of the relevant work done by the group. Wearable computing has the potential to be a revolution in public health by providing much more accurate measurement of behavior among other things. In addition to the technological problem, wearable computing generates complex data that needs careful thought to be analyzed. The SMART group working in wearable..