MuBeFE: Multimodal Behavioural Features Extraction Method

Multimodal Attribute Extraction

Given the large collections of unstructured and semi-structured data available on the web, there is a crucial need to enable quick and efficient access to the knowledge content within them. Traditionally, the field of information extraction has focused on extracting such knowledge from unstructured text documents, such as job postings, scientific papers, news articles, and emails. However, the ...

Multimodal EEG Recordings, Psychometrics and Behavioural Analysis.

High spatial and temporal resolution measurements of neuronal activity are preferably combined. In an overview on how this approach can take shape, multimodal electroencephalography (EEG) is treated in 2 main parts: by experiments without a task and in the experimentally cued working brain. It concentrates first on the alpha rhythm properties and next on data-driven search for patterns such as ...

A hierarchy probability-based visual features extraction method for speechreading

1 This research is supported by the President Foundation of the Institute of Acoustics, Chinese Academy of Sciences (No.98-02) and “863” High Tech R&D Project of China (No. 863-306-ZD-11-1). ABSTRACT Visual feature extraction method now becomes the key technique in automatic speechreading systems. However it still remains a difficult problem due to large inter-person and intraperson appearance ...

A Novel Method for Multifont Arabic Characters Features Extraction

An Extraction Method of Acoustic Features for Music Emotion Classification

Taking user’s emotion in music retrieval and recommendation as application background, this paper presents a method to extract the features associated with music emotion from the existing physical features. Focusing on degree of stability, differentiation and relativity, the method simplifies the existing multidimensional features and extracts the music physical features associated with emotion...