Faculty: Fillia Makedon, Vassilis Athitsos, Heng Huang, Dan Popa, Angie Boiselle, Eric Becker
Ph.D Students: George Galatas, Alexandros Papangelis, Christopher McMurrough
Undergraduate Students and Intern: Scott Phan, An N
The project will create an intelligent human-computer interface system, CPLAY, that can be used for assessment and rehabilitation of CP, a challenging neurological disorder that can be greatly improved with the proposed system. CP is one of the most common motor impairments in children caused by injury to the developing brain from the prenatal period until age 5. It affects motor control and coordination, making it difficult to perform even the simplest tasks, such as standing still, breathing, bladder and bowel control and eating. The proposed CPLAY system offers an approach applicable to other types of neurological disorders. Its front end is a computer game with varying levels of complexity to provide controlled auditory and visual stimuli to children with CP and thus facilitate a desired motor response that can generate performance data for diagnosis and rehabilitation treatment. Its back-end has advanced computational engines to automate data logging (from child playing the game), data fusion, analysis and decision support facilities. CPLAY is an open development kit that can afford many enhancements.
Please click here for the list of publicaion related to this project.
Below are the games we have developed for this project: