EEG-BCI 2022 : Real-Life Wearable EEG-Based BCI: Open Challenges

The evolution from clinical EEG devices to wearable ones has opened a new field of brain–computer interface (BCI) applications in real-life scenarios that require multidisciplinary competencies. Recent advances in wearable sensing technology are enabling new methods for data acquisition and collection, moving BCIs from research labs to home and making them more pervasive in real-life scenarios.

This Special Issue aims to highlight the current challenges and future perspectives that arise in the field of wearable EEG-based BCIs, especially when considering in-home and real-life healthcare and wellbeing applications.

Possible topics include but are not limited to:

Innovative wearable devices in terms of technological solutions (e.g., peculiar caps, new sensors, efficient communication devices);
Efficient, reliable, and secure communication protocols and data protection tools (e.g., cloud-based data collection, Bluetooth);
Multimodal approaches to support wearable EEG-based BCIs (e.g., multiple sensor data acquisition, integration with IoT devices);
Real-time data processing (e.g., signal processing, feature engineering, machine learning methodologies);
Signal quality in terms of reliability and accuracy of the collected data (e.g., electrode number and typology, artifacts, comparisons between signals obtained through clinical devices and consumer-grade sensors);
Human–machine interaction (e.g., ergonomics, user acceptance, protocols);
Application fields closely related to healthcare and wellbeing, especially in real-life and in-home scenarios (e.g., applications that guarantee a continuous assistance in patients’ follow-up treatment, patient-self-managed treatment at home, general wellbeing monitoring);
Neurosecurity and neuroethics (e.g., data protection, possible exploits, data usage).

Dr. Silvia Elena Corchs
Prof. Francesca Gasparini
Dr. Aurora Saibene
Guest Editors