I’m thrilled to share a valuable EEG dataset on the patterns of pornography addiction among children, collected at Yayasan Kita Dan Buah Hati (YKBH), Jakarta, Indonesia. The dataset, recorded using a BrainMaker EEG machine with 19 channels and a sampling rate of 250Hz, includes 14 participants categorized into addiction and healthy groups. We invite collaboration from researchers, data scientists, and enthusiasts interested in exploring this dataset for pre-processing, feature extraction, and classification analyses. Ethically collected and de-identified, this dataset presents a unique opportunity to contribute to our understanding of child psychology. For inquiries or collaboration, please reach out to me. Let’s work together to uncover meaningful insights in this crucial research domain.
link to dataset: EEG Pornography Addiction | Kaggle