Advances in Brain–Computer Interface Technologies: Neural Decoding, Rehabilitation Robotics, and Human–Machine Interaction
A special issue of Biomimetics (ISSN 2313-7673).
Deadline for manuscript submissions: 31 July 2025 | Viewed by 169
Special Issue Editor
Special Issue Information
Dear Colleagues,
The traditional program-controlled human–computer interaction methods severely restrict the efficient control and autonomous adaptability of robots, making it difficult to effectively apply them in systems that require collaboration with humans. Utilizing EEG and EMG signals to decode human movement intentions, enabling robots to proactively understand human behavior, has become a hotspot in the research of new human–computer interaction technologies.
In the last few decodes, many significant contributions have been made in this field. Brain-controlled robots still have a margin for development and advancement to enable a synergetic interaction with the user and robots. This research topic aims at creating a multidisciplinary forum of discussion on the recent advances in brain–computer interface technologies, including neural decoding, rehabilitation robotics, and human–machine interaction.
Potential topics include, but are not limited to, the following:
- Advanced EEG/EMG signals decoding algorithms;
- Novel human–machine interaction methods;
- Developments of brain-controlled robots;
- Clinical studies of brain–computer interface in patients.
Dr. Yaqi Chu
Guest Editor
Manuscript Submission Information
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Keywords
- EEG/EMG neural decoding
- human–machine interaction
- brain-controlled robots
- rehabilitation robotics
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