Context-based prompting has the potential to provide effective, timely reminders in many situations, including medication management and coaching situations. However, whatever is not explicitly modeled (or detected) — such as the likelihood of inference error, changes in overall physical activity, gait, or cognitive function — can result in poor inference or render the current coaching [...]
Abstract We have found that load cells under the corners of the bed can detect respiration as well as movements in bed. The ability to detect both changes in respiration (such as result from sleep apnea) and periodic leg movements (which are symptomatic in sleep apnea and other disorders) over time, in a person’s home, [...]
Abstract This project will develop and apply the statistical inference algorithms required to use unobtrusively-gathered longitudinal data to predict and identify cognitive health changes. These algorithms will address the varied challenges inherent in human behavioral data including variability within and between individuals, non-stationarity in both healthy and deteriorating individuals, instrumentation noise, sensor drift, and data [...]