Cross-domain prediction approach of human lower limb voluntary movement intention for exoskeleton robot based on EEG signals
The proposed method has a higher prediction accuracy with a lower training time, has good generalization performance for cross-temporal and cross-subject aspects, and is well-prioritized in terms of the temporal responses; these features are expected to lay the foundation for further investigations on exoskeleton robot control.
Authors
- Runlin Dong (ORCID: https://orcid.org/0000-0001-7114-9134)
- Hanzhe Li (ORCID: https://orcid.org/0009-0005-5505-326X)
- Zhufeng Lu
- Aibin Zhu (ORCID: https://orcid.org/0000-0002-6346-4932)
- Cunxin Li
- Xiaodong Zhang (ORCID: https://orcid.org/0009-0008-5131-0523)
Institutions
- Xi'an Jiaotong University (CN)
Publication Details
- Journal
- Frontiers in Bioengineering and Biotechnology
- Published
- 2024-08-23
- DOI
- https://doi.org/10.3389/fbioe.2024.1448903
- Citations
- 2
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 0.69
Funders
- National Key Research and Development Program of China
- Fundamental Research Funds for the Central Universities