Major
Electrical Engineering
Anticipated Graduation Year
2021
Access Type
Open Access
Abstract
Brain-computer interface (BCI) has been developed for the purpose of bypassing the spinal cord and peripheral nervous system to communicate or control a remote device. Prospective designs have claimed to be able to assist people with severe disabilities or apply to the practice of neurorehabilitation. Nonetheless, due to the complicated and unpredictable nature of such systems, the feasibility and reliability of available BCIs remain to be fully explored. In this study, we applied system identification techniques for black-box modeling, attempting to find the most appropriate BCI system model.
Faculty Mentors & Instructors
Dr. Vincent Chen
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.
System Modeling of Brain-Neuromuscular Functions for Developing Brain-Computer Interface
Brain-computer interface (BCI) has been developed for the purpose of bypassing the spinal cord and peripheral nervous system to communicate or control a remote device. Prospective designs have claimed to be able to assist people with severe disabilities or apply to the practice of neurorehabilitation. Nonetheless, due to the complicated and unpredictable nature of such systems, the feasibility and reliability of available BCIs remain to be fully explored. In this study, we applied system identification techniques for black-box modeling, attempting to find the most appropriate BCI system model.