Call for Abstracts: Artificial Intelligence in Wearable Sensors for Brain-Computer Interface Applications


Guest Editors

Prof. Dr. Er Meng Joo, Bharath University, India

Dr. Mahasweta Sarkar, San Diego State University, USA

Dr. Jen Tzung Chien, National Chiao Tung University, Taiwan

Overview of special issue

Brain-computer interface (BCI) technology represents a highly growing field of research with application systems. Its contributions in medical fields ranging from prevention to neuronal rehabilitation for serious injuries. Mind reading and remote communication have their unique fingerprint in numerous fields such as education, self-regulation, production, marketing, security as well as games and entertainment. Wearable sensors can combine highly immersive virtual/augmented/mixed reality experiences for entertainment, health monitoring, utilitarian purposes, and, most importantly at present, research.

With wearable sensors, researchers can design, simulate, and finely control experiments to examine human brain dynamics outside the laboratory. Artificial intelligence is a better understanding of brain activity and a better brain-computer interface (BCI) mechanism of interaction. The integration of artificial intelligence in wearable sensors can be used for early diagnosis and accurate treatment of diseases and disorders.

This special issue discusses the advancements that ought to be carried out in brain-computer interface applications with wearable sensors based on evolving AI which is a demanding technology.

List of themes

  • Artificial intelligence for EEG/ECG sensors and brain interfacing
  • AI techniques for real-time wearable sensor data analytics
  • Algorithms and tools for sensing and disease prediction with advanced wearable sensors
  • Machine learning in optimizing security and privacy of wearable BCI with head-mounted sensors
  • State-of-the-art AI technology in sustainable monitoring with wearable sensors for BCI applications
  • Challenges and prospects of wearable sensing technologies and computational intelligence in improving EEG-based BCIs (eBCIs)
  • Advances in brain-computer wearable sensors with IoT for brain connectivity analysis
  • AI-based simulation and modelling for advancing the performance sensory BCI
  • Recent AI-breakthroughs in developing the quality of the signal (i.e., the sensor technology) with BCIs for precision
  • Evolving AI-enabled brain implanted sensors for treating paralyzed patients
  • Impacts of AI-based smart wearable sensors and BCI in early diagnosis and evaluation of neurological disorders

Submission information

If interested in submitting a full paper to this special issue, please send abstracts to lead guest editor Prof. Dr. Er Meng Joo at [email protected] by no later than 15th August 2022.