Human Augmentation and Brain-Computer Interface

SI banner

The Science Partner Journal Cyborg and Bionic Systems is now considering submissions for the Special Issue on Human Augmentation and Brain-Computer Interface.


Human augmentation aims to enhance human abilities through augmented sense, augmented cognition, and augmented action. Although autonomous systems perform well in structured environments, human augmentation systems or augmented humans have significant advantages in adaptation in unstructured environments. Human augmentation can benefit not only robotics but also autonomous driving technologies because autonomous driving is a result of augmented sensing, cognition, and action. Brain-computer interface (BCI) is one of the popular technologies that provide human augmentation. With advances in brain science and computer science, BCI has become a top research area in applied science. BCI can provide humans with capabilities to communicate and control through brain activities instead of peripheral nerves and muscles. Past years have witnessed great improvements in the fields of human augmentation and BCI. The most recent research has focused on exoskeletons, wearable technologies, driver assistance/augmentation, brain-controlled robots and vehicles, and ethical and societal issues, etc. This special issue aims to provide an opportunity for researchers to contribute their most recent research and development in human augmentation, BCI, and the associated technologies. Topics include but are not limited to the following:

  • Human augmentation
  • Brain-computer interface
  • Human-machine interaction
  • Upper/lower extremity and integrated exoskeleton
  • Rehabilitation robotics
  • Driving behavior and driver assistance/augmentation
  • Wearable technologies for human augmentation
  • Brain-controlled vehicles/robots
  • Brain signal decoding/detection
  • Human-machine integration
  • Ethical and societal issues in human augmentation and brain-computer interface

    Guest Editors

    Dr. Luzheng Bi, Professor, Beijing Institute of Technology, China

    Portrait of Luzheng BiDr. Luzheng Bi is currently a Professor and the Director of the Institute of Mechatronic Systems, Beijing Institute of Technology. His research interests include intelligent systems, brain-computer interface and brain-controlled robots/vehicles, human-machine collaboration, and human behavior modeling. Dr. Bi is Associate Editors of Complex System Modeling and Simulation, IEEE/ASME AIM, ASME DSCC, ACC, and CCC. As the first or corresponding author, he has published more than 80 papers, including 20 papers in the IEEE TRANSACTIONS ON CYBERNETICS, IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, IEEE TRANSACTIONS ON SYSTEM, MAN, AND CYBERNETICS. Dr. Bi holds 16 authorized patents as the first inventor. Prof. Bi received the Natural Science Award by the Ministry of Education of China and Electronics and Information Science and Technology Award by the Chinese Society of Electronics. He was the recipient of the Supervisor Awards of Outstanding Doctoral Dissertation and of Outstanding Master Thesis of the Beijing Institute of Technology.

    Dr. Changxu Wu, Professor, Tsinghua University, China

    Portrait of Changxu WuDr. Changxu Wu is a tenured full professor at Tsinghua University. Dr. Wu's research integrates cognitive science and engineering systems design, and is committed to modeling human cognitive systems and their applications in system design, improving the safety and efficiency of human-computer systems, promoting human performance in human-computer interaction and optimizing human workload. Dr. Wu has published 133 papers in the field of human factors engineering, including 95 journal papers, 36 conference papers, 2 English monograph chapters, and a number of intelligent system design patents. IEEE Transactions on Intelligent Transportations Systems, Man, and Cybernetics, IEEE Transactions on Intelligent Transportations Systems, Psychological Review (Impact Factor: 9.02), ACM Transactions on Computer-Human Interaction, and several other journals. He has served as Chair of the Human Performance Modeling Technology Group of the International Society for Human Factors Engineering (HFES). He is also an associate editor of four international SCI journals: IEEE Transactions on Human Machine Systems, IEEE Transactions on Intelligent Transportation Systems (IEEE Intelligent Transportation Systems), Human Factors and Ergonomics in Manufacturing & Service Industries, Behaviour & Information Technology.

    Dr. Xiumin Diao, Associate Professor, Purdue University, USA

    Portrait of Xiumin DiaoDr. Xiumin Diao is currently a tenured Associate Professor at Purdue University. His research interests include intelligent robotic systems, cable-driven parallel robots, rehabilitation robotics, and human-robot interaction. Dr. Diao is an Associated Editor of IEEE ICRA. He has published more than 60 papers and been granted 5 patents.




      Submission Deadline

      September 30, 2022

        Submission Instructions

        Please select "Special Issue: Human Augmentation and Brain-Computer Interface" as the section/category during the submission process. Please also indicate in your cover letter that your submission is intended for inclusion in the special issue.

        Table of Contents

        As articles within the special issue are published they will appear below.

        Recognition of Drivers’ Hard and Soft Braking Intentions Based on Hybrid Brain-Computer Interfaces

        Jiawei Ju, Aberham Genetu Feleke, Longxi Luo, Xinan Fan

        Cyborg and Bionic Systems, vol. 2022, Article ID 9847652, 13 pages, 2022