Article

Using Eye Gaze to Train an Adaptive Myoelectric Interface

2024-04-12

Abstract excerpt

Myoelectric interfaces hold promise in consumer and health applications, but they are currently limited by variable performance across users and poor generalizability across tasks. To address these limitations, we consider interfaces that continually adapt during operation. Although current adaptive interfaces can reduce inter-subject variability, they still generalize poorly between tasks because they make use of...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 83c41745-239d-5a36-8168-db53f28661e0
DOI: 10.1101/2024.04.08.588608

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Using Eye Gaze to Train an Adaptive Myoelectric InterfaceDOI 10.1101/2024.04.08.588608Read

Instant Gaze (IG): An Interaction Driven Adaptive Gaze Control InterfaceSemantic proximity Read

Computational Framework to Predict and Shape Human-Machine Interactions in Closed-loop, Co-adaptive Neural InterfacesSemantic proximity Read

Model-based eye-tracking: a new window to understand individual differences and psychiatric disordersSemantic proximity Read

Adaptive Human–Computer Interaction Frameworks for Intelligent Learning Environments Using AI and Eye-Tracking AnalyticsSemantic proximity Read

An Artificial Intelligence Approach to Augmentative and Assistive Communication for Patients with Amyotrophic Lateral SclerosisSemantic proximity Read

Integrating simultaneous motor imagery and spatial attention for EEG-BCI controlSemantic proximity Read

Neuroscientifically-grounded research for improved human-robot interactionSemantic proximity Read

Eye-gesture control of computer systems via artificial intelligenceSemantic proximity Read

BCI Gaze Sensing Method Using Low Jitter Code Modulated VEPSemantic proximity Read

Measuring and monitoring skill learning in closed-loop myoelectric hand prostheses using speed-accuracy tradeoffsSemantic proximity Read

Data Augmentation and Deep Learning Techniques to Improve Interface Noise Tolerance of Myoelectric Pattern Recognition ControllersSemantic proximity Read

Continuous Tracking using Deep Learning-based Decoding for Non-invasive Brain-Computer InterfaceSemantic proximity Read