2020 WACV paper on “Gaze Estimation for Assisted Living Environments”

Effective assisted living environments must be able to perform inferences on how their occupants interact with one another as well as with surrounding objects. To accomplish this goal using a vision-based automated approach, multiple tasks such as pose estimation, object segmentation and gaze estimation must be addressed.  Paper written by four authors, including two Marquette University authors:  Philipe A. Dias (Marquette University EECE Graduate student, USA),  Dr. Henry Medeiros (Marquette University Asst. Professor)  See the paper here: