Jane E Huggins

 portrait of Jane E Huggins
Research Associate Professor
Office:
325 East Eisenhower Parkway
Ann Arbor, Michigan 48108
Email:
[email protected]
Available to mentor
Jane E Huggins
portrait of Jane E Huggins
Research Associate Professor
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    • Research Overview

    My research 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.

    Links
    • UMDBI Lab Webpage

    Recent Publications

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    • Journal Article
      Bayesian Classification with Probit-Link Split-and-Merge Gaussian Process Prior in EEG-Based Brain-Computer Interfaces
      Wu Y, Huggins JE, Kang J, Ma T. Statistics and Data Science in Imaging, 2026 Sep 19; 3 (1): 2722694 DOI:10.1080/29979676.2026.2722694
    • Preprint
      Bayesian Classification with Probit-link Split-and-merge Gaussian Process Prior in EEG-based Brain-Computer Interfaces
      Wu Y, Huggins JE, Kang J, Ma T. 2026 Jun 2; arXiv, DOI:10.48550/arxiv.2605.30775
    • Presentation
      Introduction to P300 Brain-Computer Interface Data Analysis Challenges
      Huggins JE. 2026 Jun 15;
    • Journal Article
      A Flash Group Creation Algorithm for P300 Brain–Computer Interface Integration with Irregular Assistive Technology Keyboard Layouts
      Huggins JE, Biswas P, Huggins JK, Chandel R. Sensors, 2026 Apr 1; 26 (7): DOI:10.3390/s26072123
      PMID: 41977910
    • Journal Article
      Individualized electrode subset improves the calibration accuracy of an EEG P300-design brain-computer interface for people with severe cerebral palsy
      Tou SLJ, Warschausky SA, Karlsson P, Huggins JE. Frontiers in Human Neuroscience, 2026 Mar 26; 20: DOI:10.3389/fnhum.2026.1720969
    • Journal Article
      A BAYESIAN REINFORCEMENT LEARNING FRAMEWORK FOR OPTIMIZING THE BCI-UTILITY OF P300 BRAIN-COMPUTER INTERFACES
      Zhao B, Wang Y, Huggins JE, Kang J. Annals of Applied Statistics, 2026 Mar 1; 20 (1): 744 - 763. DOI:10.1214/25-AOAS2080
    • Presentation
      Communication Brain-Computer Interfaces: Benefits and Barriers
      Huggins JE, Hill K. 2026 Jun 15;
    • Journal Article
      Workshops of the tenth international brain–computer interface meeting: balancing innovation and translation
      Huggins JE, Mattia D, Aarnoutse E, Allison B, Berezutskaya J, Bianchi L, Chavarriaga R, Corsi M-C, Dean H, Fernandes F, Freudenburg ZV, Herff C, Hill K, Hirata M, Kapeller C, Kellis S, Kinney-Lang E, Kukke SN, Müller-Putz G, Peters B, Rizzoglio F, Shahriari Y, Tangermann M, Tonin L, van Balen B, Verbaarschot C. Research in Biomedical Engineering and Technology, 2026 Sep 29; 13 (1): 2731643 DOI:10.1080/29960355.2026.2731643

    Featured News & Stories
    Department News

    Dr. Jane Huggins interviewed by Digital Tends about brain-computer interfaces

    Dr. Jane Huggins of PM&R was interviewed by Digital Tends about brain-computer interfaces.