A Hybrid Sequential Forward Channel Selection Method for Enhancing EEG-Based Emotion Recognition

Shyam Marjit, Parag Jyoti Das, Upasana Talukdar, and Shyamanta M Hazarika

Structure of Code directory

├── Data files                                    <- Datafiles: stored features
│   ├── PSD features                              <- Power Spectral Density based features (.csv files)
│   ├── Wavelet features                          <- Discreate Wavelet based features (.csv files)
│
├── Subject Dependent                             <- Subject Dependent code
│   ├── Data Preprocessing                        <- Data Preprocessing [Band Pass Filtering -> ICA -> CAR]
│   ├── Channel Selection                         <- HSFCS based Channel Selection
│   ├── Wavelet based Features Extraction         <- Discreate Wavelet based features extraction
│       ├── utils                                 <- Functions for feature extraction
│   ├── Genetic Algorithm for Feature Selection   <- GA for feature selection from optimal channels
│       ├── utils_channels                        <- Subject wise optimal channels list
│
├── Subject Independent                           <- Subject Independent code
│   ├── Channel Selection                         <- Aggregate all subject wise data and
│   │                                                perform HSFCS-based Channel Selection
│   ├── Genetic Algorithm for Feature Selection   <- GA for feature selection from optimal channels

✏️ Citation

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@article{shyam2024hsfcs,
    author = {Shyam Marjit, Parag Jyoti Das, Upasana Talukdar and Shyamanta M Hazarika},
    title = {A hybrid sequential forward channel selection method for enhancing EEG-Based emotion recognition},
    journal = {Journal of Experimental \& Theoretical Artificial Intelligence},
    volume = {0},
    number = {0},
    pages = {1-25},
    year = {2024},
    publisher = {Taylor & Francis},
    doi = {10.1080/0952813X.2023.2301367},
    URL = {https://doi.org/10.1080/0952813X.2023.2301367},
    eprint = {https://doi.org/10.1080/0952813X.2023.2301367},
}