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• A Personalized and Adaptable User Interface for a Speech and Cursor Brain-Computer Interface

  Hamza Peracha, Carrina Iacobacci, Tyler Singer-Clark, Leigh R Hochberg, Sergey D. Stavisky, David M. Brandman, Nicholas S Card · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This paper reports on the user interface design for an intracortical brain-computer interface (BCI) deployed for everyday at-home use by people with severe paralysis. The work centers on a 22-month longitudinal co-design study with one BrainGate2 trial participant, T15 - a…

  brain-computer interface · AAC · ALS · amyotrophic lateral sclerosis · paralysis

• Gaze Typing using Multi-key Selection Technique

  Tanya Bafna · 2018 · Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '18)

  This student research competition paper presents a multi-key selection technique for gaze typing that significantly speeds up text input for people with extreme motor disabilities such as full body paralysis. Traditional gaze typing uses dwell time — the user must fixate on each…

  eye tracking · gaze interaction · text entry · motor disability · paralysis

• EEG as a means of communication: preliminary experiments in EEG analysis using neural networks

  Charles W. Anderson, Saikumar V. Devulapalli, Erik A. Stolz · 1994 · Proceedings of the First Annual ACM Conference on Assistive Technologies (Assets '94)

  This paper explores the use of electroencephalography (EEG) as a communication channel for paralyzed individuals, representing early brain-computer interface (BCI) research. The core premise is that if distinct mental states can be reliably identified through EEG pattern…

  brain-computer interface · electroencephalography · neural network · machine learning · paralysis

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