Academic Journal of Computing & Information Science, 2022, 5(1); doi: 10.25236/AJCIS.2022.050115.
Qing Yang1, Yanzhong Zhang2
1School of Mechanical Engineering, Beijing Institute of Technology, Beijing, 100081, China
2Department of Information, Beijing University of Technology, Beijing, 100124, China
Brain computer interface technology, also known as BCI, is a kind of human brain consciousness signal collection, conversion, analysis, interpretation, finally realize the human brain to external computer control equipment directly send operation command technology, this technology can make human do not use muscle pathway feedback, can also by directly control designated muscle groups or mechanical equipment, to complete the daily body movements.Although the current stage of BCI technology has achieved some research results, there are obviously many problems in efficiency and accuracy in brain consciousness recognition.Based on this, from the perspective of motor imagination model, this paper analyzes the brain-computer interface system design of BCI technical consciousness signal recognition function, and expounds the logic idea of realizing the classification and recognition algorithm function of signal feature differentiation.
Brain-Computer Interface; Awareness Recognition; Motion Imagination
Qing Yang, Yanzhong Zhang. Brain-computer Interface Analysis Based on Motor Imagination. Academic Journal of Computing & Information Science (2022), Vol. 5, Issue 1: 76-79. https://doi.org/10.25236/AJCIS.2022.050115.
[1] Chen Yao. (2020) Impact analysis and quantitative evaluation of artifacts in motor brain-machine interface [D]. Anhui University.
[2] Wang XueJiaoYang, Wang Lianming. (2020) Analysis of motor imagination recognition based on EEG data set [J]. Science Technology and Engineering, vol. 20, no.06, pp.2369-2375.
[3] Chang Hongli. (2019) Algorithmic analysis based on motor imagination BCI [D]. Shandong Normal University.