ELEC 677 Engineering Inclusive Biosignal Human-Machine Interfaces. This course will expose students to relevant concepts and engineering tools for building closed-loop human-machine interfaces that are inclusive and equitable for users with diverse physical characteristics, with a focus on users with movement disabilities. Students will leave the course with a greater understanding of how to enable user input using different non-invasive biosensors (IMU, motion capture, EMG). The course will cover signal acquisition, signal processing, information extraction, and feedback and control loop definitions. Students will also learn the basic physiology of how the human body generates movement, and how movement disorders affect the measured biosignals. They will also learn the basic principles of inclusive design and how users can be incorporated into the engineering pipeline from conception.

ELEC 435/532 Neural Interface Engineering Laboratory. This course is designed to provide students with hands-on experience with the techniques and tools of neural engineering towards health, rehabilitation, and assistive technology applications. During the course, students will develop a deeper understanding of the underlying principles and phenomena of engineered systems interacting with the nervous system. The course will also expose students to hardware, software, and techniques that may be useful in their future coursework and careers. Students will work individually and in teams through a series of experiments. Students will also learn and use key concepts in designing experiments and testing neural interface systems, which they will use to propose and conduct a final project of their own design. Additional coursework required beyond the undergraduate course requirements.