Hardware-Assisted Privacy-Preserving Multi-Channel EEG Computational Headwear

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• Paper (IEEE Xplore)

Abstract

This paper addresses the critical need for privacy preservation in EEG data captured by commercial headwear. EEG signals contain sensitive information regarding mental states, cognitive processes, and health conditions, making privacy protection a key challenge for wearable brain-computer interfaces. We propose a hardware-assisted privacy-preserving approach for multi-channel EEG computational headwear.

Citation

Radmehr, Amirmohammad. 2024. “Hardware-Assisted Privacy-Preserving Multi-Channel EEG Computational Headwear.” In 2024 IEEE 20th International Conference on Body Sensor Networks (BSN). IEEE. https://doi.org/10.1109/BSN63547.2024.10780473.

@inproceedings{radmehr2024eeg,
  author = {Radmehr, Amirmohammad},
  title = {Hardware-Assisted Privacy-Preserving Multi-Channel EEG Computational Headwear},
  booktitle = {2024 IEEE 20th International Conference on Body Sensor Networks (BSN)},
  year = {2024},
  doi = {10.1109/BSN63547.2024.10780473}
}