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: