Brain Computer Interface and EEG Data Processing
By using theory and methods of statistical learning and information geometry, such as PCA/ICA, NMF, NTF (Nonnegative Tensor Factorization), we are
- To investigate EEG noise reduction, event-related potentials, pattern analysis for imaginary motion evoked potentials and vigilance pattern analysis.
- To study the spatial-temporal characteristics of evoked potentials and their dynamics.
- To develop pattern classification methods for evoked potentials, imaginary motion potentials and vigilance
- To design EEG based vigilance analysis system and brain-computer interaction systems
Demos:
Computer Version
Our current research includes :
- Computational Models For Visual Selective Attention
- Visual Information Representation
- Global Visual Feature Analysis
- Object Detection
- Age Estimation And Gender Classification
- Face Recognition
Demos:
Speech Recognition
Our current research includes :
- Blind Speech Separation
- Blind Deconvolution
- Speech Feature Analysis
- Computational Auditory Scene Analysis
- Speech Recognition
- Speaker Recognition
- Sound Localization
Natural Language Processing
Our current research includes :
- Dialogue System
- Grammatical Error Correction
- Pinyin Input
- Statistical Machine Translation
- Syntactic Parsing and Semantic Parsing
- Unsupervised Feature Learning
Demo:
