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Robust Multimodal Cognitive Load MeasurementMultimodal Measures and Data Fusion

Robust Multimodal Cognitive Load Measurement: Multimodal Measures and Data Fusion [This chapter presents a model for multimodal cognitive load. The features extracted from speech, pen input and GSR in a user study are fused using the AdaBoost boosting algorithm to demonstrate the methods advantages.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Robust Multimodal Cognitive Load MeasurementMultimodal Measures and Data Fusion

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Publisher
Springer International Publishing
Copyright
© Springer International Publishing Switzerland 2016
ISBN
978-3-319-31698-7
Pages
161 –171
DOI
10.1007/978-3-319-31700-7_10
Publisher site
See Chapter on Publisher Site

Abstract

[This chapter presents a model for multimodal cognitive load. The features extracted from speech, pen input and GSR in a user study are fused using the AdaBoost boosting algorithm to demonstrate the methods advantages.]

Published: Jun 15, 2016

Keywords: Cognitive Load Measurement (CLM); Multimodal Indexing; Multimodal Data Processing; Medium Load Level; Prosodic Feature Extraction

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