Brain–Computer Interface

[This review is intended solely for my personal learning] Paper Info DOI: 10.1007/978-3-031-05409-9_23 Title: A Swarm Intelligence Approach: Combination of Different EEG-Channel Optimization Techniques to Enhance Emotion Recognition Authors: Sabahudin Balic, Lukas Kleybolte, and Christian Märtin Prior Knowledge EEG-based Emotion Recognition: EEG captures electrical brain activity via multiple electrodes. Its high temporal resolution makes it suitable for decoding emotional states in real-time. However, the full 32-channel setup is often computationally expensive and redundant. Swarm Intelligence: Algorithms like Particle Swarm Optimization (PSO), Cuckoo Search (CS), and Grey Wolf Optimizer (GWO) mimic social behavior of animals to solve optimization problems. Feature vs. Channel Selection: Traditional feature selection targets discriminative features across frequency bands, while channel selection focuses on spatially optimizing electrode positions. Goal To evaluate and compare different EEG channel selection techniques—both classical and swarm intelligence-based—to optimize emotion classification performance while significantly reducing computation time. ...

[This review is intended solely for my personal learning] Paper Info DOI: 10.1109/TBME.2022.3212192 Title: A Binocular Vision SSVEP Brain–Computer Interface Paradigm for Dual-Frequency Modulation Authors: Yike Sun, Liyan Liang, Jingnan Sun, Xiaogang Chen, Runfa Tian, Yuanfang Chen, Lijian Zhang, and Xiaorong Gao Prior Knowledge SSVEP and BCIs: Steady-State Visual Evoked Potentials (SSVEPs) are brain responses elicited by periodic visual stimuli. Their robustness and high signal-to-noise ratio make them a cornerstone in non-invasive BCI research Dual-Frequency Stimulation: Traditional dual-frequency paradigms, such as the checkerboard arrangement, allow the encoding of more targets but are hampered by intermodulation artifacts, which can compromise signal quality. Binocular Vision Approach: By using circularly polarized light to deliver different frequencies to each eye, the binocular vision paradigm minimizes interference from intermodulation harmonics, thereby enhancing signal fidelity. Goal To design and evaluate a novel dual-frequency SSVEP paradigm based on binocular vision that suppresses intermodulation harmonics and enhances overall BCI performance, particularly in training-free applications. ...