AI Article Synopsis
- Motor imagery (MI) is crucial for brain-computer interfaces (BCIs), but controlling and acquiring it effectively poses significant challenges for users.
- The effectiveness of MI-BCI systems largely relies on how well subjects can perform MI, necessitating improvements in training and evaluation methods for MI capabilities.
- Current research mostly focuses on decoding algorithms and overlooks the importance of understanding and enhancing the mental processes behind MI, highlighting the need for objective evaluation techniques and less time-consuming training strategies.
Article Abstract
Motor imagery (MI) is an important paradigm of driving brain computer interface (BCI). However, MI is not easy to control or acquire, and the performance of MI-BCI depends heavily on the performance of the subjects' MI. Therefore, the correct execution of MI mental activities, ability evaluation and improvement methods play important and even critical roles in the improvement and application of MI-BCI system's performance. However, in the research and development of MI-BCI, the existing researches mainly focus on the decoding algorithm of MI, but do not pay enough attention to the above three aspects of MI mental activities. In this paper, these problems of MI-BCI are discussed in detail, and it is pointed out that the subjects tend to use visual motor imagery as kinesthetic motor imagery. In the future, we need to develop some objective, quantitatively visualized MI ability evaluation methods, and develop some effective and less time-consumption training methods to improve MI ability. It is also necessary to solve the differences and commonness of MI problems between and within individuals and MI-BCI illiteracy to a certain extent.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9927765 | PMC |
| http://dx.doi.org/10.7507/1001-5515.202101037 | DOI Listing |
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