Motivated by the vision of the future, automated analysis of nonverbal behavior, and especially of facial behavior, has attracted increasing attention in Computer Vision, Pattern Recognition, and Human-Computer interaction. With facial expression being one of the most…

The goal of the project is to help people who are blind or visually impaired to shop independently. Present day shopping environments are centered around the needs of the consumer, and they aim to facilitate convenient access to different product lines varying from…

The inspiration for the iCare Reader was provided by focus groups of people who are blind, who asked CUbiC researchers for a reading machine that could be taken anywhere, and that was easier to use than the traditional flatbed scanning technology solutions that are…

The Remote Visual Explorer is designed to be an intuitive and natural extension of the human vision system. By integrating an eye-tracking monitor and a camera on a pant-tilt mechanism it allows an individual to explore a remote location. The user simply sits in front of…

CUbiC@ASU is engaged in an active collaboration with a high-volume cardiology practice catering to patients across Arizona - Advanced Cardiac Specialists - to design and develop computational tools and frameworks for cardiac decision support. While there are publicly…