首页|Study Findings from Shanghai Jiao Tong University Provide New Insights into Robotics (A Hybrid Bci Combining Ssvep and Eog and Its Application for Continuous Wheelchair Control)
Study Findings from Shanghai Jiao Tong University Provide New Insights into Robotics (A Hybrid Bci Combining Ssvep and Eog and Its Application for Continuous Wheelchair Control)
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NETL
NSTL
Elsevier
2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Robotics have been presented. According to news reporting originating from Shanghai, People’s Republic of China, by NewsRx correspondents, research stated, “Brain-computer interfaces (BCIs) have emerged as one of the most promising techniques for individuals with motor disabil- ities to control external devices directly without peripheral pathways. While the discrete control strategy is widely adopted in BCI systems, the continuous control strategy provides intuitive and fluent control of robotic devices.” Funders for this research include China National Key R D Program, National Natural Science Foundation of China (NSFC).
ShanghaiPeople’s Republic of ChinaAsiaEmerging Tech- nologiesMachine LearningRoboticsRobotsShanghai Jiao Tong University
NETL
NSTL
Elsevier
