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

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.

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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.