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AUSAI
2009
Springer
13 years 8 months ago
Classification of EEG for Affect Recognition: An Adaptive Approach
Research on affective computing is growing rapidly and new applications are being developed more frequently. They use information about the affective/mental states of users to adap...
Omar AlZoubi, Rafael A. Calvo, Ronald H. Stevens
DAGM
2006
Springer
13 years 8 months ago
Classifying Event-Related Desynchronization in EEG, ECoG and MEG Signals
We present the results from three motor-imagery-based Brain-Computer Interface experiments. Brain signals were recorded from 8 untrained subjects using EEG, 4 using ECoG and 10 us...
N. Jeremy Hill, Thomas Navin Lal, Michael Schr&oum...
AIHC
2007
Springer
13 years 10 months ago
Modeling Naturalistic Affective States Via Facial, Vocal, and Bodily Expressions Recognition
Affective and human-centered computing have attracted a lot of attention during the past years, mainly due to the abundance of devices and environments able to exploit multimodal i...
Kostas Karpouzis, George Caridakis, Loïc Kess...
ACII
2007
Springer
13 years 8 months ago
Detecting Affect from Non-stylised Body Motions
In this paper we present a novel framework for analysing non-stylised motion in order to detect implicitly communicated affect. Our approach makes use of a segmentation technique w...
Daniel Bernhardt, Peter Robinson
CVPR
2008
IEEE
14 years 6 months ago
Combining brain computer interfaces with vision for object categorization
Human-aided computing proposes using information measured directly from the human brain in order to perform useful tasks. In this paper, we extend this idea by fusing computer vis...
Ashish Kapoor, Pradeep Shenoy, Desney S. Tan