Aims and Scope
In recent years, advancements in the Brain Computer Interface (BCI) technology and Artificial Intelligence (AI) are enabling innovative applications in heterogenous fields ranging from healthcare to security and authentication. These diverse solutions owe their success primarily to non-invasive BCIs that can be employed more easily with respect to invasive ones, which require surgery, and are, therefore, more readily accepted by humans.
By analyzing brain signals, existing methods extract relevant features to perform, among others, person identification, emotion recognition, or motor imagery and show that a fundamental step is associated with how brain signals are employed. The main aim of this Special Issue is to collect the most innovative works exploiting the BCI technology (be it non-invasive, semi-invasive, or invasive) in support of practical and concrete problems that must be addressed in the upcoming Industry 5.0 where humans and robots will collaborate closely across diverse fields.
Lead Guest Editor
Prof. Danilo Avola
Sapienza University of Rome, Italy
Research Interests: Human Computer Interaction, Computer Vision, Signal Processing, Machine Learning, Deep Learning, Image & Video Processing, Multimodal Systems, Pattern Recognition
Guest Editor
Prof. Daniele Pannone
Sapienza University of Rome, Italy
Research Interests: Computer Vision, Machine Learning, Deep Learning, Signal Processing
Prof. Marco Cascio
Sapienza University of Rome, Italy
Research Interests: Computer Vision, Machine Learning, Deep Learning, Signal Processing, Image Processing
Dr. Alessio Fagioli
Sapienza University of Rome, Italy
Research Interests: Computer Vision, Machine Learning, Deep Learning Algorithms, Signal Processing
Special Issue Information
We encourage researchers and experts worldwide to contribute by submitting high-quality original research papers and review papers. In particular, the Special Issue will focus on, but will not be limited to, methodologies devising modern feature extraction procedures for BCI signals as well as methods leveraging AI approaches to address problems in Medicine, Security and Authentication, Entertainment, Communication and Control, and others, ultimately setting a common ground for this impending technological revolution.
The topics of interest include, but are not limited to, the following:
Medicine
. Therapy
. Physiotherapy
. Rehabilitation
. Function recovery after stroke
. Assistive devices
. Diagnosis
. Emotion regulation
Security and Authentication
. Emotion recognition
. Deception detection
. Person identification
Communication and Control (Assistive technology for)
. Smart home environments
. External limbs prostheses
. Robots
. Wheelchairs
. Neuroprostheses
. Exoskeletons
. Air traffic monitoring
Entertainment
. Painting
. Web control
. Online quadcopter control
. Sports
. Virtual reality
. Games
. Music
Manuscript Submission Information
Submission deadline: 30 June 2023
Submissions that pass pre-check will be reviewed by at least two reviewers of the specific field. Accepted papers will be published on early access first and sent for copy editing and typesetting. Then all papers will be included in the special issue when it is published.
If you have any queries regarding the special issue or other matters, please feel free to contact the editorial office: caspercheng@bonviewpress.org / caspercheng@bonviewpress.com
All site content, except where otherwise noted, is licensed under a Creative Commons Attribution 4.0 International License.
ISSN 2811-0854 | Published by Bon View Publishing Pte Ltd.
Member of
