Publications by Ashkan Yazdani

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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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Ashkan Yazdani

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

Brain-Computer Interface in Multimedia Systems

Face Detection Using Discrete Gabor Jets And Color Information

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

Curiosity Cloning: Neural Analysis of Scientific Knowledge

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

Multivariate Spectral Analysis for Identifying the Brain Activations During Olfactory Perception

EEG correlates of different emotional states elicited during watching music videos

Bayesian Feature Selection Applied In a P300 Brain- Computer Interface

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

Multimedia content analysis for emotional characterization of music video clips

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

Affective content analysis of music video clip

DEAP: a database for emotion analysis using physiological signals

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

Electroencephalogram Alterations During Perception of Pleasant and Unpleasant Odors