Posts Tagged ‘Linear discriminant analysis’:

EEG Feature Extraction and Online BCI Research

Brain-Computer Interface is a new way of human-computer interface.It is notdependent on the brain’s normal output channels (peripheral nerves and muscles),butdirectly change the information between the brain and outside world.As amultidisciplinary cross technology, BCI relate to Biomedical Engineering, RehabilitationEngineering, Electronics Engineering and Artificial Intelligence.BCI system can explainthe brain’ mental task, it is vary important to

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The Research of Chinese Dialect Identification Based on Speech Feature Analysis

Dialect identification is the technology of identifying the dialect from a short utterance of the unknown speech signal which is known in some regional dialects. And it has great significance in the criminal public security investigation and speech recognition technology, and has attracted more and more attention of the researchers in related fields. The system

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Dimensionality Reduction and Recognition Technology of Digital Image-algorithm Research of Face Recognition

In recent years,face recognition research become a highly valued and active research topic in the fields of computer vision and pattern recognition because of its huge research prospects and potential development in authentication, file management and visual communications. General face recognition system consists of five functional modules which contains information access, digital and pre-processing, feature

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Research on Face Recognition Based on2DPCA and FLDA

With the development of information science and technology, human biometric technologies have developed rapidly in the fields of security, military, civil and economic, such as fingerprint recognition, iris recognition, gene recognition, retina recognition. Compared with the above identification techniques, face recognition technology has many advantages, for instance, it’s very convenient, it hasn’t too much involvement,

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Face Recognition Using Average Invariant Factor

The recent developed intrinsic discriminate analysis (IDA) demonstrates superior recognition rate compared with classical methods such as PC A and LDA. The authors of IDA method explore the relative invariant of images through the total singular value decomposition (SVD) such that a face image is decomposed into three parts. Then the recognition rate is optimized

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Research on Face Recognition Methods Based on Subspace

Face recognition is a hot topic in pattern recognition, the key of facerecognition is feature extraction.The subspace methods have been the mostpopular owing to their calculation convenient and good performance onexpression. The idea of the linear subspace analysis methods are based oncertain performance goals to find a linear space transformation which canreduce a high-dimensional original

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Research on Understanding of Facial Expressions Information in Sign Language and Its Implementation

Sign language is the language which is used by the deaf, it is a stable expression system which is composed of gestures, facial expressions and head gestures. Relative to a wide range of body language of common person, sign language have more regularity. Recognition of sign language can help hearing people to have a better

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Reseach and Implementationan Embedded Electronic Nose System Based on ARM9

Electronic nose has developed rapidly in recent years. With the deep research of the computer technology, sensor technology, and human olfactory mechanism, the electronic nose in social development has been more and more concerned. China’s rapid industrial development has been showing the urgent need for highly intelligent instrument to solve many problems in the field

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Ensemble Local Block Linear Discriminant Analysis for Face Recognition

In recent years, face recognition has been given more and more attention. Many research institutions and individuals have done lots of researches, and put forward some new recognition algorithms, but a large number of tests and practice show that a lot of problems need to be resolved in order to realize a really practical face

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The Study on Recognition of Sub-health State Based on Pulse and ECG Information

Sub-health state, which besets our society as a health problem, is defined as a intermediate state between the health and diseases. If the state is not dealt with aptly, it can let vigor reducing and adaptive capacity falling. If it goes on, one’s immune system will be damaged and then to disease. However, the state

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