• Publications
  • Influence
DEAP: A Database for Emotion Analysis ;Using Physiological Signals
TLDR
We present a multimodal data set for the analysis of human affective states. Expand
A Multimodal Database for Affect Recognition and Implicit Tagging
TLDR
A multimodal database recorded in response to affective stimuli with the goal of emotion recognition and implicit tagging research. Expand
Multimodal Emotion Recognition in Response to Videos
TLDR
This paper presents a user-independent emotion recognition method with the goal of recovering affective tags for videos using electroencephalogram (EEG), pupillary response and gaze distance. Expand
Rotation, scale and translation invariant spread spectrum digital image watermarking
TLDR
This paper describes how a combination of spread spectrum encoding of the embedded message and transform-based invariants can be used to construct watermarks which are designed to be unaffected by any combination of rotation and scale transformations. Expand
Performance evaluation in content-based image retrieval: overview and proposals
TLDR
We propose a standard test suite for CBIR, similar to that used in IR at the annual Text REtrieval Conference. Expand
A Stochastic Approach to Content Adaptive Digital Image Watermarking
TLDR
This paper presents a new stochastic approach which can be applied with different watermark techniques. Expand
Emotion Assessment: Arousal Evaluation Using EEG's and Peripheral Physiological Signals
TLDR
The arousal dimension of human emotions is assessed from two different physiological sources: peripheral signals and electroencephalographic (EEG) signals from the brain. Expand
A new method for grey-level picture thresholding using the entropy of the histogram
  • T. Pun
  • Computer Science
  • 1 July 1980
TLDR
This paper describes an automatic threshold selection method for picture segmentation, using the entropy of the grey level histogram, by an a priori maximation of an entropy determined a posteriori. Expand
Emotion Assessment From Physiological Signals for Adaptation of Game Difficulty
TLDR
This paper proposes to maintain player's engagement by adapting game difficulty according to player's emotions assessed from physiological signals. Expand
Short-term emotion assessment in a recall paradigm
TLDR
The work presented in this paper aims at assessing human emotions using peripheral as well as electroencephalographic (EEG) physiological signals on short-time periods. Expand
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