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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

• Human-Centered Explainable AI for Brain-Computer Interface-driven Rehabilitation

  Param Rajpura · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA ’26)

  This CHI Extended Abstract presents a doctoral research agenda developing human-centered explainable AI (HCXAI) frameworks for brain-computer interfaces (BCIs) used in stroke rehabilitation. Rajpura argues that current BCI systems prioritize technical performance, such as…

  brain-computer interface · explainable AI · stroke rehabilitation · aphasia · human-centered AI

• QC Speller: User Interface Design of a Hands-Free Touch-Free Speller with Brain Electroencephalogram Sensory Rhythm

  Tulika Nama, Debasis Samanta · 2025 · ACM Transactions on Accessible Computing

  This paper presents QC Speller, a novel brain-computer interface (BCI) text entry system designed for people with severe motor impairments who cannot use traditional keyboards, mice, or touchscreens. The system uses electroencephalography (EEG) to detect motor imagery…

  brain-computer interface · motor imagery · EEG · text entry · motor impairment

• Intelligent Assistive Communication and the Web as a Social Medium

  Karl Wiegand · 2014 · Proceedings of the 11th Web for All Conference (W4A)

  This short paper presents doctoral research on applying natural language processing (NLP) and machine learning to improve augmentative and alternative communication (AAC) systems, with a particular focus on enabling web-based social interaction for people with severe speech…

  augmentative and alternative communication · AAC · natural language processing · machine learning · social media accessibility

• Improved Inference and Autotyping in EEG-based BCI Typing Systems

  Andrew Fowler, Brian Roark, Umut Orhan, Deniz Erdogmus, Melanie Fried-Oken · 2013 · Proceedings of the 15th International ACM SIGACCESS Conference on Computers and Accessibility (Assets '13)

  This paper presents improvements to the RSVP Keyboard, a brain-computer interface (BCI) typing system designed for people with severe motor disabilities, particularly those with locked-in syndrome (LIS) resulting from ALS or brain stem stroke who cannot use any volitional…

  brain-computer interface · BCI · EEG · text entry · locked-in syndrome

• Assessing Fit of Nontraditional Assistive Technologies

  Adriane B. Randolph, Melody M. Moore Jackson · 2010 · ACM Transactions on Accessible Computing

  This paper addresses a critical gap in assistive technology: how to systematically match users who have severe motor disabilities with nontraditional assistive technologies (NTATs) that use physiological signals rather than physical movement for computer control. The authors…

  brain-computer interface · assistive technology · motor disabilities · ALS · locked-in syndrome

• Designing AAC Interfaces for Commercial Brain-Computer Interaction Gaming Hardware

  Stephen Steward · 2009 · Proceedings of the 11th International ACM SIGACCESS Conference on Computers and Accessibility (Assets '09)

  This paper explores repurposing a low-cost commercial brain-computer interface (BCI) gaming device — the OCZ Technologies Neural Impulse Actuator (NIA) — as an input device for augmentative and alternative communication (AAC). The NIA is a headband that reads electrical signals…

  augmentative and alternative communication · brain-computer interface · assistive technology · motor impairment · speech impairment

• Brain-Computer Interfaces (BCIs) for Communication and Control

  Jonathan R. Wolpaw · 2007 · Proceedings of the 9th International ACM SIGACCESS Conference on Computers and Accessibility (Assets '07)

  This keynote paper from Jonathan Wolpaw at the Wadsworth Center (New York State Department of Health) provides an overview of brain-computer interface (BCI) research aimed at developing augmentative communication and control technology for people with severe neuromuscular…

  brain-computer interface · augmentative communication · neuromuscular disorders · ALS · EEG

• Alternative Text Entry Using Different Input Methods

  Torsten Felzer, Rainer Nordmann · 2006 · Proceedings of the 8th International ACM SIGACCESS Conference on Computers and Accessibility (Assets '06)

  This paper presents the HaMCoS (Hands-free Mouse Control System) framework and its text entry applications, designed for people who cannot use their hands to operate a keyboard. HaMCoS works by detecting intentional muscle contractions — specifically single (CE1) and double…

  text entry · motor impairment · alternative input · single switch · bio-signals

• A Galvanic Skin Response Interface for People with Severe Motor Disabilities

  Melody M. Moore, Umang Dua · 2004 · Proceedings of the 6th International ACM SIGACCESS Conference on Computers and Accessibility (Assets 04)

  This paper explores the use of Galvanic Skin Response (GSR) — changes in the electrical conductivity of the skin caused by sweat gland activity linked to the sympathetic nervous system — as a non-muscular input channel for people with locked-in syndrome. The research was…

  locked-in syndrome · galvanic skin response · brain-computer interface · biometric control · ALS

• The LF-ASD Brain Computer Interface: On-Line Identification of Imagined Finger Flexions in Subjects with Spinal Cord Injuries

  Steven G. Mason, Ziba Bozorgzadeh, Gary E. Birch · 2000 · Proceedings of the Fourth International ACM Conference on Assistive Technologies (Assets '00)

  This paper presents the first evaluation of the Low-Frequency Asynchronous Switch Design (LF-ASD) brain-computer interface with individuals who have high-level spinal cord injuries. The LF-ASD is a brain-controlled switch designed specifically for asynchronous control…

  brain-computer interface · spinal cord injury · EEG · switch access · motor imagery

• Human Factors Issues in the Neural Signals Direct Brain-Computer Interface

  Melody M. Moore, Philip R. Kennedy · 2000 · Proceedings of the Fourth International ACM Conference on Assistive Technologies (Assets '00)

  This paper presents the software and human factors aspects of the Neural Signals direct brain-computer interface project — one of the first implanted BCI systems tested in humans. Unlike non-invasive BCIs that read EEG signals through the scalp, this system uses a neurotrophic…

  brain-computer interface · locked-in syndrome · neural prosthetics · assistive technology · human-computer interaction

• 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

13 results.