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Related Experiment Video

Updated: May 11, 2026

Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients

Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients

Published on: April 18, 2025

A hybrid brain-computer interface-based mail client.

Tianyou Yu¹, Yuanqing Li, Jinyi Long

¹School of Automation Science and Engineering, South China University of Technology, Guangzhou 510640, China.

Computational and Mathematical Methods in Medicine

|May 22, 2013

Summary

This summary is machine-generated.

This study introduces a novel hybrid brain-computer interface (BCI) mail client. This system enables users to manage emails using electroencephalography (EEG) signals for communication.

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Assessment and Communication for People with Disorders of Consciousness

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Published on: August 1, 2017

Area of Science:

Neuroscience
Human-Computer Interaction
Biomedical Engineering

Background:

Brain-computer interfaces (BCIs) are crucial for assistive communication.
Electronic mail is a primary communication tool, yet inaccessible for some individuals.
Existing BCIs often lack comprehensive email functionalities.

Purpose of the Study:

To develop a hybrid BCI-based mail client for full email interaction.
To integrate multimodal EEG features for enhanced BCI control.
To enable users to receive, read, write, and attach files via BCI.

Main Methods:

Utilized scalp electroencephalography (EEG) for signal acquisition.
Implemented a hybrid BCI approach combining motor imagery and P300 potentials.
Developed a BCI mouse for navigating the mail client GUI.
Employed an adaptive P300 speller for text input.

Main Results:

Successfully demonstrated a functional BCI mail client.
Validated the system's efficacy in enabling email tasks.
Achieved real-time classification of multimodal EEG features.

Conclusions:

The proposed hybrid BCI mail client effectively supports diverse email operations.
Multimodal EEG feature integration enhances BCI control for communication.
This technology offers a promising avenue for improving digital accessibility.