PRISM Lab - Our Research
In the prism Lab, we do research aimed at maximizing possibilities for children and youth with disabilities and special needs, along with their families, through excellence in applied science and engineering.
Click here to visit the Participate in Research page and see what studies we are recruiting for!
- Characterizing brain states using an electrical brain activity sensing headband
- Enhancing self- management of individuals with severe disabilities using a cloud-connected technology: Tecla-e
- Interbrain Electroencephalography (EEG) Signal Synchronization among Non-verbal Children/Youth with Severe Disabilities, their Parents, and Music Therapists
- Measuring Muscle Patterns in Accelerometer-basedMechanomyography during Pediatric Gait
- Validation and testing of a fabric-based electro-oculography (EOG) access technology
A Novel Near-Infrared Spectroscopy Brain-Computer Interface
Access Pathways – Accelerometer
Assistive Technology - Communication
- Development of the Kinect virtual art program to physically engage children with severe impairments
- Training contingency awareness through an interactive virtual environment
Assistive Technology - Electronic Textiles
- A case study of the usability and usefulness of a fabric based communication device for children with severe communication difficulties
- Enhancing the decoding of functional intention in children with severe disabilities through the use of e-textiles
Assistive Technology – Mechanomyography (MMG)
- Comparison of Mechanomyography from a Condenser Microphone and Accelerometer during Gait
- Mechanomyogram detection of intentional muscle activity in the presence of dyskinetic movements
Brain-computer Interface - Electroencephalography (EEG)
- A comparison of tactile and visual based brain-computer interface spellers
- A double RC paradigm based hybrid BCI system
- A multi-modal human-machine interface integrating behavior and brain signals
- An auditory-tactile based gaze-independent brain computer interface
- An error-related potential based self-correcting brain-computer interface speller
- Towards Context-Aware Brain-Computer Interfaces
Brain-computer Interface - Near-Infrared Spectroscopy (NIRS)
- A more user-friendly brain computer interface
- Differentiation of NIRS signals from multiple cortical regions & development of an automated method for motion artifact removal
Brain-Computer Interfaces
Gait Analysis
Miscellaneous
- Dynamic topographic visualization and quantification of a multichannel surface EMG grid array
- Investigating Language Development in a Child with a Rare Central Nervous System Disorder