Theodoros KostoulasUniversity of the Aegean
Theodoros Kostoulas
PhD
About
64
Publications
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630
Citations
Citations since 2017
Introduction
Additional affiliations
February 2013 - present
October 2005 - November 2012
Publications
Publications (64)
Ischemic stroke is a medical emergency that requires hospitalization and occasionally, specialized care at the Intensive Care Unit. Mortality prediction in the ICUs has been a challenge for intensivists, since prompt identification could impact medical clinical practices and allow efficient allocation of health resources in the ICUs, which are extr...
Research on physiological synchronization and hyperscanning is progressing at a rapid pace, with new methods and application areas constantly appearing. In general, physiological synchronization can occur in diverse social interaction scenarios—collaboration, communication, or competition within dyads or larger groups. The degree of synchronization...
Intensive care unit (ICU) patients with venous thromboembolism (VTE) and/or cancer suffer from high mortality rates. Mortality prediction in the ICU has been a major medical challenge for which several scoring systems exist but lack in specificity. This study focuses on two target groups, namely patients with thrombosis or cancer. The main goal is...
Virtual Reality (VR) enables the simulation of ecologically validated scenarios, which are ideal for studying behaviour in controllable conditions. Physiological measures captured in these studies provide a deeper insight into how an individual responds to a given scenario. However, the combination of the various biosensing devices presents several...
Early warning tools are crucial for the timely application of intervention strategies and the mitigation of the adverse health, social and economic effects associated with outbreaks of epidemic potential such as COVID-19. This paper introduces, the Epidemic Volatility Index (EVI), a new, conceptually simple, early warning tool for oncoming epidemic...
Background . This paper presents, for the first time, the Epidemic Volatility Index (EVI), a conceptually simple, early warning tool for emerging epidemic waves.
Methods . EVI is based on the volatility of the newly reported cases per unit of time, ideally per day, and issues an early warning when the rate of the volatility change exceeds a thresho...
Recent pandemic related events have effectively put a stop to most in-lab data collection which has a profound negative impact on many research fields. Online and remote data collection, without the need to travel to a laboratory, starts to be used as a valuable alternative in some scenarios. This approach does not only help to resume some research...
Web bots vary in sophistication based on their purpose, ranging from simple automated scripts to advanced web bots that have a browser fingerprint, support the main browser functionalities, and exhibit a humanlike behaviour. Advanced web bots are especially appealing to malicious web bot creators, due to their browser-like fingerprint and humanlike...
Today many interactive online platforms are equipped with immersive and attention-grabbing elements to increase user engagement and persuade more online presence, interaction and transactions. Excessive and obsessive use of technology combined with harm can be seen as a behavioral addiction. While technology companies started to introduce tools to...
Venous thromboembolism (VTE) is the third most common cardiovascular condition. Some high risk patients diagnosed with VTE need immediate treatment and monitoring in intensive care units (ICU) as the mortality rate is high. Most of the published predictive models for ICU mortality give information on in-hospital mortality using data recorded in the...
Automated programs (bots) are responsible for a large percentage of website traffic. These bots can either be used for benign purposes, such as Web indexing, Website monitoring (validation of hyperlinks and HTML code), feed fetching Web content and data extraction for commercial use or for malicious ones, including, but not limited to, content scra...
Reflecting upon the sustainability challenges cities will be facing in the near future and the recent technological developments allowing cities to become "smart", we introduce IDEAL-CITIES; a framework aiming to provide an architecture for cyber-physical systems to deliver a data-driven Circular Economy model in a city context. In the IDEAL-CITIES...
The obsessive usage of digital media may exhibit symptoms traditionally associated with behavioural addictions such as mood modification, salience, tolerance and conflict. The educational methods, interventions, and treatments available to prevent or control such a digital addiction are, currently, very limited. Digital Addiction (DA) is yet not fo...
The obsessive usage of digital media may exhibit symptoms traditionally associated with behavioural addictions such as mood modification, salience, tolerance and conflict. The educational methods, interventions, and treatments available to prevent or control such a digital addiction are, currently, very limited. Digital Addiction (DA) is yet not fo...
People's relationship with social media and their contacts on them can be problematic. People may engage in social media in a compulsive and hasty style to increase their popularity, reputation and enhance their self-esteem. However , this problematic attachment to social media may result in side effects on people's well-being. Therefore, people ma...
Recognizing emotional reactions of movie audiences to affective movie content is a challenging task in affective computing. Previous research on induced emotion recognition has mainly focused on using audiovisual movie content. Nevertheless, the relationship between the perceptions of the affective movie content (perceived emotions) and the emotion...
Online gambling, unlike other offline addiction forms, provides unprecedented opportunities for monitoring users’ behaviour in real-time, along with the ability to adapt persuasive interactions and messages that would match the gamblers usage and personal context. Online gambling industry usually offers Application Programming Interfaces (APIs) tha...
Immersive technologies offer the potential to drive engagement and create exciting experiences. A better understanding of the emotional state of the user within immersive experiences can assist in healthcare interventions and the evaluation of entertainment technologies. This work describes a feasibility study to explore the effect of affective vid...
Detection of aesthetic highlights is a challenge for understanding the affective processes taking place during movie watching. In this article, we study spectators’ responses to movie aesthetic stimuli in a social context. Moreover, we look for uncovering the emotional component of aesthetic highlights in movies. Our assumption is that synchronized...
Over the last years, affective computing has been strengthening its ties with the humanities, exploring and building understanding of people’s responses to specific artistic multimedia stimuli. “Aesthetic experience” is acknowledged to be the subjective part of some artistic exposure, namely, the inner affective state of a person exposed to some ar...
Detection of emotional and aesthetic highlights is a challenge for the affective understanding of movies. Our assumption is that synchronized spectators' physiological and behavioral reactions occur during these highlights. We propose to employ the periodicity score to capture synchronization among groups of spectators' signals. To uncover the peri...
Affective computing has strong ties with literature and film studies, e.g. text sentiment analysis, affective tagging of movies. In this work we report on recent findings towards identifying highlights in movies on the basis of the synchronization of physiological and behavioral signals of people. The proposed architecture is utilizing dynamic time...
Detection of highlights in movies is a challenge for the affective understanding and implicit tagging of films. Under the hypothesis that synchronization of the reaction of spectators indicates such highlights, we define a synchronization measure between spectators that is capable of extracting movie highlights. The intuitive idea of our approach i...
Affective computing is an important research area of computer science, with strong ties with humanities in particular. In this work we detail recent research activities towards determining moments of aesthetic importance in movies, on the basis of the reactions of multiple spectators. These reactions correspond to the multimodal reaction profile of...
Expression of emotional state is considered to be a core facet of an individual's emotional competence. Emotional processing in BN has not been often studied and has not been considered from a broad perspective. This study aimed at examining the implicit and explicit emotional expression in BN patients, in the acute state and after recovery. Sixty-...
The MoveOn speech and noise database was purposely designed and implemented in support of research on spoken dialogue interaction in a motorcycle environment. The distinctiveness of the MoveOn database results from the requirements of the application domain—an information support and operational command and control system for the two-wheel police f...
We describe a novel design, implementation and evaluation of a speech interface, as part of a platform for the development of serious games. The speech interface consists of the speech recognition component and the emotion recognition from speech component. The speech interface relies on a platform designed and implemented to support the developmen...
Ein automatisiertes akustisches Monitoring setzt eine gute Kenntnis der im Natura 2000-Gebiet „Hymettos“ vorkommenden Tierwelt
voraus. Die vorhandenen Arten müssen im Feld erfasst und Tonaufnahmen ihrer Lautäußerungen gesammelt, identifiziert, gekennzeichnet und archiviert werden, um anschließend die Computersoftware für die Artzuordnung trainieren...
Previous review studies have suggested that computer games can serve as an alternative or additional form of treatment in several areas (schizophrenia, asthma or motor rehabilitation). Although several naturalistic studies have been conducted showing the usefulness of serious video games in the treatment of some abnormal behaviours, there is a lack...
The AmiBio system foresees handling of a huge quantity of data, mostly audio, to be recorded by the monitoring stations and continuously transmitted to the central station for analysis. Handling the Petabytes of data at the central station imposes many requirements with respect to the database functionality and the corresponding management tools. T...
The provision of biological baseline data is one of the main responsibilities of the Zoological Research Museum A. Koenig (ZFMK) in the AmiBio project. Species have to be inventoried and recordings of their vocalizations have to be compiled, identified, tagged, and archived in order to calibrate the sound identification software (AmiBio Newsletter,...
In the present work we aim at performance optimization of a speaker-independent emotion recognition system through speech
feature selection process. Specifically, relying on the speech feature set defined in the Interspeech 2009 Emotion Challenge,
we studied the relative importance of the individual speech parameters, and based on their ranking, a...
Accurate modeling of prosody is prerequisite for the production of synthetic speech of high quality. Phone duration, as one
of the key prosodic parameters, plays an important role for the generation of emotional synthetic speech with natural sounding.
In the present work we offer an overview of various phone duration modeling techniques, and conseq...
In the present work we address the problem of phone duration modeling for the needs of emotional speech synthesis. Specifically,
relying on ten well known machine learning techniques, we investigate the practical usefulness of two feature selection techniques,
namely the Relief and the Correlation-based Feature Selection (CFS) algorithms, for impro...
Affect awareness is important for improving human-computer interaction, but also facilitates the detection of atypical behaviours,
danger, or crisis situations in surveillance and in human behaviour monitoring applications. The present work aims at the
detection and recognition of specific affective states, such as panic, anger, happiness in close...
The present paper outlines the Vergina speech database, which was developed in support of research and development of corpus-based unit selection and statistical parametric speech synthesis systems for Modern Greek language. In the following, we describe the design, development and implementation of the recording campaign, as well as the annotation...
In the present work we study the performance of a speech recognizer for the Greek language, in a smart-home environment. This recognizer operates in spoken interaction scenarios, where the users are able to control various home appliances. In contrast to command and control systems, in our application the users speak spontaneously, beyond the use o...
The present work details a multimodal dialogue system, which offers user-friendly access to information, entertainment devices
and white good appliances. We focus on the speech interface and the spoken dialogue management, with extensive description
of the system’s architecture and functionalities. The services supported are detailed, with comprehe...
In this work, the evaluation of the LOGOS' spoken dialogue system is presented. The system offers user-friendly access to information, entertainment devices and white good appliances. Short description of the LOGOS system's architecture is given. The user interface of the system is based on remote control device, PC keyboard and spoken language. In...
The present work studies the effect of emotional speech on a smart-home application. Specifically, we evaluate the recognition
performance of the automatic speech recognition component of a smart-home dialogue system for various categories of emotional
speech. The experimental results reveal that word recognition rate for emotional speech varies si...
A speech and noise corpus dealing with the extreme conditions of the motorcycle environment is developed within the MoveOn project. Speech utterances in British English are recorded and processed approaching the issue of command and control and template driven dialog systems on the motorcycle. The major part of the corpus comprises noisy speech and...
In the present work we evaluate a detector of negative emotional states (DNES) that serves the purpose of enhancing a spoken dialogue system, which operates in smart-home environment. The DNES component is based on Gaussian mixture models (GMMs) and a set of commonly used speech features. In comprehensive performance evaluation we utilized a well-k...
In this work, we present comparative evaluation of the practical value of some recently proposed speech parameterizations on the speech recognition task. Specifically, in a common experimental setup we evaluate recent discrete wavelet-packet transform (DWPT)-based speech features against traditional techniques, such as the Mel-frequency cepstral co...
In the present work we report results from on-going research activity in the area of speaker-independent emotion recognition. Experimentations are performed towards examining the behavior of a detector of negative emotional states over non-acted/acted speech. Furthermore, a score-level fusion of two classifiers on utterance level is applied, in att...
In the present paper an approach for emotion recognition is presented. Within this work we concentrate on the evaluation of a speaker-dependent emotion recognition architecture. A basic set of 20 features was established and the C4.5 classifier was used. Five classes were categorized, namely neutral, hot anger, happiness, sadness and panic. A class...
Telemedicine applications are being widely evolved and computerization overtakes health care industry. However, patient medical data is not concentrated yet and even within hospital centers, access to electronic media is restricted to computer equipped offices. Exploiting web technologies we have implemented remote access to health records, making...
Projects
Projects (2)
We study Digital addiction (DA) as an emergent research area and explore a problematic usage of digital media described by being obsessive, excessive, compulsive, impulsive and hasty. We particularly focus on software-based tools which aid people adjust their usage style and take an informed decision about it. We study the engineering of such tools which exhibit additional challenges mainly because of the unconventional nature of their requirements. Fine more at https://research.bournemouth.ac.uk/project/dar/ and https://twitter.com/bu_esotics