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- 저자 : Yang Yudan (검색결과 3 건)
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Research on EEG Recognition Algorithm Based on SVM Classifier
Zhang Chao,Zhao Xilu,Pan Su,Yang Yudan 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.12
As more and more insight into the human brain, EEG is not only for application, processing and analysis of EEG in science and engineering field, it will also be very important in the physical, psychological and pathological studies in humans. The EEG brain - machine interface technologies to achieve the human brain and the computer or other human interface devices to communicate and control, it can provide a special kind of information exchange and live entertainment, is also disabled and a new way of control. In this paper, the collection of information preprocessing electroencephalogram (EEG) signals is proposed wavelet packet transform feature extraction method, using SVM classifier, classification based on the operation mode to achieve recognition of the EEG signal. For different individuals turn, the next turn, show fist, fist four kinds of hand motion recognition experiments show that the average recognition rate of over 80%, significantly better than the other methods to identify results.
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Research of Lower Limb Rehabilitation Training Gait
Meng Zhang,Xiao li Wang,Pan Su,Yang Yudan 보안공학연구지원센터 2016 International Journal of u- and e- Service, Scienc Vol.9 No.12
Gait analysis is an important part of the lower limb disorder walking rehabilitation training, based on the research of the walking gait, helpful for recovery equipment control system design has important significance. This article mainly through 3 d motion capture system, the movement of human lower limb joints character such as displacement, velocity, and the body center of gravity test analysis, and in view of the human lower limb joints, four degrees of freedom model is set up, and establish the corresponding mathematical model, and using the simulation software, to verify the rationality of structure, for the future of medical rehabilitation, and provide important data for the intelligent control of the organization.
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Research on Patients with Depression of Facial Expression Recognition based on Facereader6 Software
Wang Ju,Hong Mei,Nie Chunyan,Pan Su,Yang Yudan 보안공학연구지원센터 2016 International Journal of u- and e- Service, Scienc Vol.9 No.11
With the information society, the level of modern high-speed development, in order to adapt to constantly improve the economic standard of living, people are facing the pressure and thus the greater the incidence of depression showed a rising trend. The facial expression recognition based on the data of Facereader6 software, application SVM algorithm facial expression data in patients with depression feature extraction classification. Therefore, the law face expression feature extraction in patients with depression, according to the input different facial expressions to identify facial expressions in patients with depression. Population will suffer from depression in intervention and prevention have significant social role and practical significance.
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