Article

EEG-Based Brain-Computer Interface for Robotic Assistance with User Intention Prediction

2025-09-19

Abstract excerpt

<title>Abstract</title> <p>Brain–computer interfaces (BCIs) translate neural signals into control commands to restore or augment human capabilities, enabling robotic assistance for essential daily activities. Compared with intracortical BCIs, non-invasive BCIs require less medical and surgical intervention, but have yet to demonstrate reliable performance in complex everyday tasks with high success and low mental...

Topics

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

Identifiers and source

Literature Corpus work: e8e49514-a6ec-5166-8d05-9a3d4e40ef57
DOI: 10.21203/rs.3.rs-7359180/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

EEG-Based Brain-Computer Interface for Robotic Assistance with User Intention PredictionDOI 10.21203/rs.3.rs-7359180/v1Read

Decoding Motor Plans Using a Closed-Loop Ultrasonic Brain-Machine InterfaceSemantic proximity Read

A Mental State-Aware Brain Computer Interface for Adaptive Control of Electric Powered WheelchairSemantic proximity Read

Human primary motor cortex indexes the onset of subjective intention in brain-machine-interface mediated actionsSemantic proximity Read

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

Enhancing Gesture Decoding Performance Using Signals from Posterior Parietal Cortex: A Stereo-Electroencephalograhy (SEEG) StudySemantic proximity Read

Deep Learning Based BCI Control of a Robotic Service Assistant Using Intelligent Goal FormulationSemantic proximity Read

Design of MEG-Based Brain-Machine Interface Control Methodology Through Time-Varying Cortical Neural Connectivity & Extreme Learning MachineSemantic proximity Read

Decoding personalized motor cortical excitability states from human electroencephalographySemantic proximity Read

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

Neurocomputational Mechanisms of Sense of Agency: A Scoping Review Integrating Predictive Coding, and Optimal Control in Human-Machine InterfacesSemantic proximity Read

Benefits of Deep Learning Classification of Continuous Noninvasive Brain-Computer Interface ControlSemantic proximity Read

Challenges and opportunities for the future of Brain-Computer Interface in neurorehabilitationSemantic proximity Read