Publications de Ashkan Yazdani

Using Cardio-Respiratory Signals to Recognize Emotions Elicited by Watching Music Video Clips

Jean-Marc Vesin, Leila Mirmohamadsadeghi, Ashkan Yazdani

The automatic recognition of human emotions from physiological signals is of increasing interest in many applications. Images with high emotional content have been shown to alter signals such as the electrocardiogram~(ECG) and the respiration among many ot ...

IEEE2016

Multimedia content analysis for emotional characterization of music video clips

Touradj Ebrahimi, Ashkan Yazdani, Evangelos Skodras

Nowadays, tags play an important role in the search and retrieval process in multimedia content sharing social networks. As the amount of multimedia contents explosively increases, it is a challenging problem to find a content that will be appealing to the ...

Springer International Publishing Ag2013

Electroencephalogram Alterations During Perception of Pleasant and Unpleasant Odors

Touradj Ebrahimi, Jean-Marc Vesin, Ashkan Yazdani, Eleni Kroupi

2012

Brain-Computer Interface in Multimedia Systems

Ashkan Yazdani

A brain-computer interface (BCI) is a system that allows a user to communicate with the environment only through cerebral activity, without using muscular output channels. To establish a direct link between the brain and a computer, the electroencephalogra ...

EPFL2012

Multivariate Spectral Analysis for Identifying the Brain Activations During Olfactory Perception

Touradj Ebrahimi, Jean-Marc Vesin, Ashkan Yazdani, Eleni Kroupi

Olfactory perception is a complex phenomenon associated with other processes such as cognition and emotion. Due to this complexity, there are still open issues and challenges regarding olfactory psychophysiology. One challenge concerns the investigation of ...

Ieee2012

DEAP: a database for emotion analysis using physiological signals

Touradj Ebrahimi, Thierry Pun, Anton Nijholt, Ashkan Yazdani, Jong Seok Lee

We present a multimodal dataset for the analysis of human affective states. The electroencephalogram (EEG) and peripheral physiological signals of 32 participants were recorded as each watched 40 one-minute long excerpts of music videos. Participants rated ...

2012

Affect Recognition Based on Physiological Changes During the Watching of Music Video

Touradj Ebrahimi, Jean-Marc Vesin, Ashkan Yazdani, Jong Seok Lee

Assessing emotional states of users evoked during their multimedia consumption has received a great deal of attention with recent advances in multimedia content distribution technologies and increasing interest in personalized content delivery. Physiologic ...

2012

EEG correlates of different emotional states elicited during watching music videos

Touradj Ebrahimi, Ashkan Yazdani, Eleni Kroupi

Studying emotions has become increasingly popular in various research fields. Researchers across the globe have studied various tools to implicitly assess emotions and affective states of people. Human computer interface systems specifically can benefit fr ...

Lecture Notes in Computer Science, Springer2011

OCULAR ARTIFACT REMOVAL FROM EEG: A COMPARISON OF SUBSPACE PROJECTION AND ADAPTIVE FILTERING METHODS

Touradj Ebrahimi, Jean-Marc Vesin, Ashkan Yazdani, Eleni Kroupi

One of the fundamental challenges in EEG signal processing is the selection of a proper method to correct ocular artifacts in the recorded electroencephalogram (EEG). Several methods have been proposed for this task. Among these methods, two main categorie ...

2011

Affective content analysis of music video clip

Touradj Ebrahimi, Krista Kappeler, Ashkan Yazdani

Nowadays, the amount of multimedia contents is explosively increasing and it is often a challenging problem to find a con- tent that will be appealing or matches users’ current mood or affective state. In order to achieve this goal, an efficient indexing t ...

ACM2011

Single trial classification of EEG and peripheral physiological signals for recognition of emotions induced by music videos

Touradj Ebrahimi, Thierry Pun, Anton Nijholt, Ashkan Yazdani, Jong Seok Lee

2010

The Impact of Expertise on Brain Computer Interface Based Salient Image Retrieval

Touradj Ebrahimi, Jean-Marc Vesin, Ashkan Yazdani

Autonomous decision making modules in computer vision application allow recognition and classification of different objects, persons, and events in images and video sequences and also make it possible to classify different sensor readings (e.g. images) acc ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2010

Classification of EEG Signals Using Dempster Shafer Theory and a K-Nearest Neighbor Classiﬁer

Touradj Ebrahimi, Ulrich Hoffmann, Ashkan Yazdani

A brain computer interface (BCI) is a communication system, which translates brain activity into commands for a computer or other devices. Nearly all BCIs contain as a core component a classification algorithm, which is employed to discriminate different b ...

IEEE2009

Implicit emotional tagging of multimedia using EEG signals and brain computer interface

Touradj Ebrahimi, Ashkan Yazdani, Jong Seok Lee

In multimedia content sharing social networks, tags assigned to content play an important role in search and retrieval. In other words, by annotating multimedia content, users can associate a word or a phrase (tag) with that resource such that it can be se ...

ACM2009

Curiosity Cloning: Neural Analysis of Scientific Knowledge

Touradj Ebrahimi, Ashkan Yazdani, Leopoldo Rossini

Event-related potentials (ERPs) are indicators of brain activity related to cognitive processes. They can be detected from EEG signals and thus constitute an attractive non-invasive option to study cognitive information processing. The P300 wave is probabl ...

2009

Bayesian Feature Selection Applied In a P300 Brain- Computer Interface

Touradj Ebrahimi, Jean-Marc Vesin, Ulrich Hoffmann, Ashkan Yazdani

Feature selection is a machine learning technique that has many interesting applications in the area of brain- computer interfaces (BCIs). Here we show how automatic relevance determination (ARD), which is a Bayesian feature selection technique, can be app ...

2008

Face Detection Using Discrete Gabor Jets And Color Information

Touradj Ebrahimi, Ulrich Hoffmann, Ashkan Yazdani

Face detection allows to recognize and detect human faces and provides information about their location in a given image. Many applications such as biometrics, face recognition, and video surveillance employ face detection as one of their main modules. The ...

2008