System uses computer vision algorithms and emotion classifiers integrated into gameplay to detect emotion in the child’s face via the phone’s front camera to determine agreement with the displayed prompt, along with other features such as gaze, eye contact, and joint attention.
Dr. Dante Muratore's goal is to design the next generation of neural interfaces that allow single-cell resolution when communicating with the nervous system. To achieve this, he has conceived a new way of reading information from the neural system.
Developing an automated seizure detection and localization system based on deep neural networks, EEG data, and real-time video with the goal to dramatically increase neurologist diagnostic capabilities while improving quality of care.
Creating new tools to help neuroscientists bridge the study of genes and proteins operating in the brain to the study of brain circuits and systems, which could lead to a deeper understanding of brain function and disease.
A top priority for people with paralysis is reach and grasp ability. Technologies such as robotic arm prostheses or electrically stimulating paralyzed muscles can meet this need. Existing methods rely on the remaining muscles, are unintuitive and require laborious sequences of simple commands....