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Motor imagery (MI) based on brain computer interfaces (BCIs) have been widely applied for upper limb motor rehabilitation. Due to the fact that a large number of disabled people need to restore or improve walking ability, it is also important to investigate the use of MI-based BCIs for lower limb motor rehabilitation. The brain activity of lower limb MI is more difficult to detect because of low reliability...
Effective user training could help us to improve the discrimination performance of our intention in brain computer interface (BCI). This paper aims to differentiate users left or right hand motor imagery (MI) tasks with different scenarios in 3D virtual environment, as non-object-directed (NOD) scenario, static-object-directed (SOD) scenario and dynamic-object-directed (DOD) scenario respectively...
Partners selection and evaluation is one of the most vital actions of companies in a product design chain. Moreover, decision support is an important part of cooperative design. Selecting the right partner is the assurance of cooperative design. In order to improve reliability and scientificalness, a method of partner evaluation based on BP neural network and PCA is presented. An evaluation index...
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