SPECIAL SESSION #1

Wearable Adaptive System for Monitoring, Supporting and Caring for Humans

ORGANIZED BY

Naomi Naomi du Bois

Naomi du Bois

University of Bath, UK

Moccaldi Nicola Moccaldi

Nicola Moccaldi

ARHeMLab of Federico II University of Naples, Italy

ABSTRACT

Brain-computer interfaces (BCI) and extended reality technologies (XR), when synergized, provide the potential for virtual environments to dynamically respond to the user's mental states by interpreting brain wave data. Such adaptive virtual environments are invaluable across various domains – offering powerful tools with which to enhance education and training, facilitate both diagnosis and therapy in healthcare, and enrich the entertainment industry.

TOPICS

Topics of interest for this Special Session includes, but are not limited to:

  • EEG-based psychophysical condition monitoring;
  • Wearable sensors;
  • Neuro- and bio-feedback;
  • Accuracy and Precision versus wearability;
  • Machine learning-based biosignal processing;
  • Extended Reality for improving ecological validity;
  • Domain adaptation and generalization for biosignal-based mental state detection;
  • Applications and case studies.

ABOUT THE ORGANIZERS

Dr Naomi du Bois is a Research Associate at the University of Bath, with experience in electro- and magneto- encephalography (MEEG) neuroimaging techniques. Her recent research interests are focused on brain-computer interface (BCI) - based solutions to the treatment and management of mental health disorders and cognitive deficits.

Nicola Moccaldi is an Assistant Professor at the University Federico II of Naples. He received the M.S. degree in Communication Science at the University of Salerno, the M.Sc. degree in Electronic Engineering and the Ph.D. in Information Technologies and Electrical Engineering at the University of Naples Federico II. His current research interests include biomedical instrumentation and measurement.

WITH THE PATRONAGE OF

University_of_Hertfordshire
bath
unina
unisalento
stiima
unisi
HSMW
POLIBA
UPV
eureca
puc
cirmis
cei
arhemlab
res4net
ageit
GMEE