Towards Hybrid EEG-EMG-Based Control Approaches to be Used in Bio-robotics Applications: Current Status, Challenges and Future Directions
In the last few decades, bio-robotics applications such as exoskeletons, prosthetics and robotic wheelchairs have progressed from machines in science fiction to nearly commercialized products. Though there are still several challenges associated with electromyography (EMG) signals, the advances in u...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2013-12-01
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| Series: | Paladyn |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/pjbr-2013-0009 |
| _version_ | 1797427187469516800 |
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| author | Lalitharatne Thilina Dulantha Teramoto Kenbu Hayashi Yoshiaki Kiguchi Kazuo |
| author_facet | Lalitharatne Thilina Dulantha Teramoto Kenbu Hayashi Yoshiaki Kiguchi Kazuo |
| author_sort | Lalitharatne Thilina Dulantha |
| collection | DOAJ |
| description | In the last few decades, bio-robotics applications such as exoskeletons, prosthetics and robotic wheelchairs have progressed from machines in science fiction to nearly commercialized products. Though there are still several challenges associated with electromyography (EMG) signals, the advances in use of EMG signals for controlling such bio-robotics applications have been enormous. Similarly, recent trends and attempts in developing electroencephalography- (EEG) based control methods have shown the potential of this area in the modern bio-robotics field. However, the EEG-based control methods are also yet to be perfected. A new approach of combining both these control methods, which take the advantages, and diminish the disadvantages, of each system might therefore be a promising approach. In this paper, we review hybrid fusion of EMG- and EEG-based control approaches in the bio-robotics field which have been attempted or developed to date. We provide a design overview of the method and consider the main features and merits/disadvantagages for the approaches that have been analyzed. We also discuss the current challenges regarding these hybrid EEG-EMG control approaches and propose some potential future directions. |
| first_indexed | 2024-03-09T08:41:39Z |
| format | Article |
| id | doaj.art-2753528b0aa042c193b28f7ca7380873 |
| institution | Directory Open Access Journal |
| issn | 2081-4836 |
| language | English |
| last_indexed | 2024-03-09T08:41:39Z |
| publishDate | 2013-12-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Paladyn |
| spelling | doaj.art-2753528b0aa042c193b28f7ca73808732023-12-02T16:42:21ZengDe GruyterPaladyn2081-48362013-12-014214715410.2478/pjbr-2013-0009Towards Hybrid EEG-EMG-Based Control Approaches to be Used in Bio-robotics Applications: Current Status, Challenges and Future DirectionsLalitharatne Thilina Dulantha0Teramoto Kenbu1Hayashi Yoshiaki2Kiguchi Kazuo3Dept. of Advanced Technology Fusion, Saga University, 1-Honjo machi, Saga-shi, Saga, 840-8502, JapanDept. of Advanced Technology Fusion, Saga University, 1-Honjo machi, Saga-shi, Saga, 840-8502, JapanDept. of Advanced Technology Fusion, Saga University, 1-Honjo machi, Saga-shi, Saga, 840-8502, JapanDept. of Mechanical Engineering, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka-shi, Fukuoka, 819-0395, JapanIn the last few decades, bio-robotics applications such as exoskeletons, prosthetics and robotic wheelchairs have progressed from machines in science fiction to nearly commercialized products. Though there are still several challenges associated with electromyography (EMG) signals, the advances in use of EMG signals for controlling such bio-robotics applications have been enormous. Similarly, recent trends and attempts in developing electroencephalography- (EEG) based control methods have shown the potential of this area in the modern bio-robotics field. However, the EEG-based control methods are also yet to be perfected. A new approach of combining both these control methods, which take the advantages, and diminish the disadvantages, of each system might therefore be a promising approach. In this paper, we review hybrid fusion of EMG- and EEG-based control approaches in the bio-robotics field which have been attempted or developed to date. We provide a design overview of the method and consider the main features and merits/disadvantagages for the approaches that have been analyzed. We also discuss the current challenges regarding these hybrid EEG-EMG control approaches and propose some potential future directions.https://doi.org/10.2478/pjbr-2013-0009hybrid eeg-emgbio-robotics applications |
| spellingShingle | Lalitharatne Thilina Dulantha Teramoto Kenbu Hayashi Yoshiaki Kiguchi Kazuo Towards Hybrid EEG-EMG-Based Control Approaches to be Used in Bio-robotics Applications: Current Status, Challenges and Future Directions Paladyn hybrid eeg-emg bio-robotics applications |
| title | Towards Hybrid EEG-EMG-Based Control Approaches to be Used in Bio-robotics Applications: Current Status, Challenges and Future Directions |
| title_full | Towards Hybrid EEG-EMG-Based Control Approaches to be Used in Bio-robotics Applications: Current Status, Challenges and Future Directions |
| title_fullStr | Towards Hybrid EEG-EMG-Based Control Approaches to be Used in Bio-robotics Applications: Current Status, Challenges and Future Directions |
| title_full_unstemmed | Towards Hybrid EEG-EMG-Based Control Approaches to be Used in Bio-robotics Applications: Current Status, Challenges and Future Directions |
| title_short | Towards Hybrid EEG-EMG-Based Control Approaches to be Used in Bio-robotics Applications: Current Status, Challenges and Future Directions |
| title_sort | towards hybrid eeg emg based control approaches to be used in bio robotics applications current status challenges and future directions |
| topic | hybrid eeg-emg bio-robotics applications |
| url | https://doi.org/10.2478/pjbr-2013-0009 |
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