Work

A Feasibility Study on Enhanced Mobility and Comfort: Wheelchairs Empowered by SSVEP BCI for Instant Noise Cancellation and Signal Processing in Assistive Technology

Year: 2025

Type: article

Abstract: Steady-state visual evoked potential (SSVEP)-based brain–computer interface (BCI) technology offers a promising solution for wheelchair control by translating neural signals into navigation commands. A major challenge—signal noise caused by eye blinks—is addressed in this feasibility study through real-time blink detection and correction. The proposed design utilizes sensors to capture both SSVEP and blink signals, enabling the isolation and compensation of interference, which improves control accuracy by 14.68%. Real-time correction during blinks significantly enhances system reliability and responsiveness. Furthermore, user data and global positioning system (GPS) trajectories are uploaded to the cloud via Wi-Fi 6E for continuous safety monitoring. This approach not only restores mobility for users with physical disabilities but also promotes independence and spatial autonomy.

Source: Electronics

DOI: 10.3390/electronics14214338

Authors: Chih-Tsung Chang, Kai-Jun Pai, Ming-An Chung, Chia-Wei Lin

Institutions: National Taiwan Ocean University, National Taiwan Normal University, National Taipei University of Technology

Language: English

Topic: EEG and Brain-Computer Interfaces

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $2,896