Machine Learning for Pain Measurement


Pain is a subjective experience commonly measured through patients' self reports. Unfortunately, self-report measures only work when the subject is sufficiently alert and cooperative, and hence they lack utility in multiple situations (such as during drowsiness) and patient populations (such as patients with dementia or paralysis). To circumvent the limitations of pain self-reports, in this project we are developing automatic methods for pain estimation based on physiological signals  and/or facial expressions.

Research Topics
#affective computing