lightbulbPractical problemMotor Disability Assistive Input and Control
Quadriplegic athletes struggle to improve training and competitive performance with existing technology.Direction: Accessibility and Assistive Technology
Motor Disability Assistive Input and Control
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2025
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12 items
lightbulbPractical problemMotor Disability Assistive Input and Control
Mobility-limited users struggle to complete complex upper-body interaction tasks in VR applications.lightbulbPractical problemMotor Disability Assistive Input and Control
People with tetraplegia struggle to conveniently use traditional keyboards or mice for computer operation.UIST '24Enabling Advanced Interactions through Closed-loop Control of Motor Unit Activity After Tetraplegia
lightbulbPractical problemMotor Disability Assistive Input and Control
Users are easily interrupted from immersive experiences when operating devices during photography or video recording.UIST '24NeuroSight: Combining Eye-Tracking and Brain-Computer Interfaces for Context-Aware Hand-Free Camera Interaction
lightbulbPractical problemMotor Disability Assistive Input and Control
Users often encounter accidental triggering (Midas touch) problems when using gaze interaction.lightbulbPractical problemMotor Disability Assistive Input and Control
Users with severe motor impairments struggle to use traditional eye-typing technology fluently and efficiently.IUI '23Understanding Adoption Barriers to Dwell-Free Eye-Typing: Design Implications from a Qualitative Deployment Study and Computational Simulations
lightbulbPractical problemMotor Disability Assistive Input and Control
People with anxiety and depression struggle to effectively regulate emotions through traditional methods.UIST '23Joie: a Joy-based BCI
lightbulbPractical problemMotor Disability Assistive Input and Control
Low ear-electrode signal classification accuracy limits practical application of ear-electrode devices.UbiComp '23Cross-domain Feature Distillation Framework for Enhancing Classification in Ear-EEG Brain-Computer Interfaces
lightbulbPractical problemMotor Disability Assistive Input and Control
Incorrect questions generated by dialogue systems easily disengage users and reduce willingness to participate further.lightbulbPractical problemMotor Disability Assistive Input and Control
Users lack convenient input methods when their hands are occupied or mobility is restricted.lightbulbPractical problemMotor Disability Assistive Input and Control
Brain-computer interfaces based on flickering stimuli easily cause visual fatigue with prolonged use.lightbulbPractical problemMotor Disability Assistive Input and Control
Paralyzed patients using brain-computer interfaces face low EEG signal decoding accuracy.UbiComp '21TACNet: Task-aware Electroencephalogram Classification for Brain-Computer Interface through A Novel Temporal Attention Convolutional Network
Related papers
CHI 2025
Understanding the Training Experiences of Competitive Skiers with Tetraplegia
Tamanna Motahar, YeonJae Kim, Eden Laurel Fisher
CHI 2025
MotionBlocks: Modular Geometric Motion Remapping for More Accessible Upper Body Movement in Virtual Reality
Johann Wentzel, Alessandra Luz, Martez E Mott
CHI 2024
Towards an Eye-Brain-Computer Interface: Combining Gaze with the Stimulus-Preceding Negativity for Target Selections in XR
G S Rajshekar Reddy, Michael J. Proulx, Leanne Hirshfield
UIST 2023
Joie: a Joy-based BCI
Angela Vujic, Shreyas Nisal, Pattie Maes
IUI 2021
Knowledge Graph Completion-based Question Selection for Acquiring Domain Knowledge through Dialogues
Kazunori Komatani, Yuma Fujioka, Keisuke Nakashima
IUI 2021
TeethTap: Recognizing Discrete Teeth Gestures using Motion and Acoustic Sensing on an Earpiece
Wei Sun, Franklin Mingzhe Li, Benjamin Steeper
IUI 2021
Spinning Icons: Introducing a Novel SSVEP-BCI Paradigm Based on Rotation
Maurice Rekrut, Tobias Jungbluth, Antonio Krüger
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