734-936-7177

Relevant Projects:

SCH: New Statistical Learning Methods for Brain-Computer Interfaces; Compatibility Between Brain-Computer Interface and High Efficiency Augmentative and Alternative Communication Systems: Commercial Readiness


Jane E. Huggins

Associate Research Scientist

Physical Medicine and Rehabilitation

The UM-DBI Laboratory’s current work focuses on the development of electroencephalogram (EEG)-based brain-computer interfaces (BCIs) into practical clinical tools for use by people with physical impairments. Barriers to clinical use include signal processing challenges, selection of tasks for BCI operation, interactions between BCIs and different conditions causing impairments, and technical support issues to troubleshoot in-home BCI use. We are developing algorithms for real-time analysis of EEG to determine which key a user wants to activate or to identify whether the user currently wants to activate any key at all. We also analyze survey data to guide BCI design decisions.

Typing with a brain-computer interface.