ENHANCING CONTROL WITH EMBEDDED SSVEP-BCI

Year : 2025 | Volume : 12 | Issue : 03 | Page : 41 52
    By

    Priyanka Shinde,

  1. Student, Department of Electronics and Telecommunication Engineering, Sinhgad College of Engineering, Pune, Maharashtra, India

Abstract

Brain–Computer Interface (BCI) technology establishes a direct communication link between the human brain and external devices without relying on muscular activity. Among various BCI paradigms, the Steady-State Visually Evoked Potential (SSVEP)-based approach has gained significant attention due to its high signal-to-noise ratio, minimal user training, and suitability for real-time applications. However, implementing such systems on embedded hardware presents challenges such as limited computational resources, signal noise, and latency in processing. This paper focuses on enhancing control performance in an embedded SSVEP-based BCI system through efficient EEG signal processing and system optimization. The proposed framework employs advanced preprocessing techniques, including band-pass filtering to isolate target frequency components and reduce noise interference. Signal optimization algorithms are then integrated to improve classification accuracy and responsiveness. The system’s embedded implementation ensures real-time operation, compactness, and portability, making it suitable for low-cost assistive technologies and smart control applications. The results demonstrate that optimizing EEG signal processing significantly enhances the detection accuracy of SSVEP responses, leading to faster and more reliable control of external devices. Furthermore, the compact embedded setup reduces overall power consumption while maintaining performance comparable to high-end computational platforms. This work highlights the potential of lightweight embedded BCI systems to provide efficient, real-time, and user- driven control for various applications in neurotechnology, rehabilitation, and human–computer interaction.

Keywords: Brain–Computer Interface (BCI), Electroencephalography (EEG), Steady-State Visually Evoked Potential (SSVEP), Visual Stimuli

[This article belongs to Recent Trends in Electronics Communication Systems ]

How to cite this article:
Priyanka Shinde. ENHANCING CONTROL WITH EMBEDDED SSVEP-BCI. Recent Trends in Electronics Communication Systems. 2025; 12(03):41-52.
How to cite this URL:
Priyanka Shinde. ENHANCING CONTROL WITH EMBEDDED SSVEP-BCI. Recent Trends in Electronics Communication Systems. 2025; 12(03):41-52. Available from: https://journals.stmjournals.com/rtecs/article=2025/view=234149


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Regular Issue Subscription Original Research
Volume 12
Issue 03
Received 14/06/2025
Accepted 04/10/2025
Published 13/12/2025
Publication Time 182 Days
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