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» A New Method for ECG Signal Feature Extraction
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ICASSP
2007
IEEE
14 years 2 months ago
Eigentongue Feature Extraction for an Ultrasound-Based Silent Speech Interface
The article compares two approaches to the description of ultrasound vocal tract images for application in a “silent speech interface,” one based on tongue contour modeling, a...
Thomas Hueber, Guido Aversano, Gérard Choll...
ICASSP
2010
IEEE
13 years 6 months ago
Speech/Non-Speech Detection in Meetings from Automatically Extracted low Resolution Visual Features
In this paper we address the problem of estimating who is speaking from automatically extracted low resolution visual cues in group meetings. Traditionally, the task of speech/non...
Hayley Hung, Sileye O. Ba
IJCNN
2008
IEEE
14 years 2 months ago
Multifractal feature vectors for Brain-Computer interfaces
—This article introduces a new feature vector extraction for EEG signals using multifractal analysis. The validity of the approach is asserted on real data sets from the BCI comp...
Nicolas Brodu
KI
2009
Springer
14 years 2 months ago
P300 Detection Based on Feature Extraction in On-line Brain-Computer Interface
Abstract. We propose a new EEG-based wireless brain computer interface (BCI) with which subjects can “mind-type” text on a computer screen. The application is based on detectin...
Nikolay Chumerin, Nikolay V. Manyakov, Adrien Comb...
PAMI
2006
125views more  PAMI 2006»
13 years 7 months ago
Channel Smoothing: Efficient Robust Smoothing of Low-Level Signal Features
In this paper, we present a new and efficient method to implement robust smoothing of low-level signal features: B-spline channel smoothing. This method consists of three steps: en...
Michael Felsberg, Per-Erik Forssén, Hanno S...