Evaluation of Features in Detection of Dislike Responses to Audio–Visual Stimuli from EEG Signals

© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).There is a strong correlation between the like/dislike responses to audio–visual stimuli and the emotional arousal and valence reactions of a person. In the present work, our attention is focused on the automated detection of dislike responses based on EEG activity when music videos are used as audio–visual stimuli. Specifically, we investigate the discriminative capacity of the Logarithmic Energy (LogE), Linear Frequency Cepstral Coefficients (LFCC), Power Spectral Density (PSD) and Discrete Wavelet Transform (DWT)-based EEG features, computed with and without segmentation of the EEG signal, on the dislike detection task. We carried out a comparative evaluation with eighteen modifications of the above-mentioned EEG features that cover different frequency bands and use different energy decomposition methods and spectral resolutions. For that purpose, we made use of Naïve Bayes classifier (NB), Classification and regression trees (CART), k-Nearest Neighbors (kNN) classifier, and support vector machines (SVM) classifier with a radial basis function (RBF) kernel trained with the Sequential Minimal Optimization (SMO) method. The experimental evaluation was performed on the well-known and widely used DEAP dataset. A classification accuracy of up to 98.6% was observed for the best performing combination of pre-processing, EEG features and classifier. These results support that the automated detection of like/dislike reactions based on EEG activity is feasible in a personalized setup. This opens opportunities for the incorporation of such functionality in entertainment, healthcare and security applications.Peer reviewedFinal Published versio

Application of machine learning methods for the prediction of distress in patients with oncological diseases

       Distress management is of particular importance in all disease treatment strategies that aim to cope with medical conditions, which require prolonged therapy. Here, we present results obtained in a comparative study of various classification methods for automated distress detection. For the purposes of the present study, use was made of a common experimental protocol that relies on a dataset of approximately 6 000 oncological patients at different stages of therapy. The dataset consists of the binary responses to specific questions in a purposefully-designed self-evaluation questionnaire on the degree of distress. Conducted, within such a framework, was a performance assessment of three distress detectors based on Multilayer Perceptron Neural Network (MLP NN), boosting and bagging meta-classification methods and evaluated, further, was the performance of nine characteristic descriptors (KR1-KR9) representing the informative content of the dataset in different ways. The results obtained in the experiments prove conclusively that one of the characteristic descriptors, KR8 and KR9, significantly outperform the other descriptors in terms of classification accuracy, precision, recall, and F-measure

Design Considerations of an Interactive Robotic Agent for Public Libraries

The role of public libraries has long been recognized, rendering them a timeless offered form of public service. Users of a public library should have easy access to catalogs and full text of printed and electronic versions of books, magazines, and periodicals, as well as to multimedia databases. Every day, most public libraries are in service for several hours, thus computer-based library service applications provide a valuable service supplement. In this study, a robotic agent which guides users in libraries is proposed. The robotic agent is equipped with sound acquisition and reproduction chains and is capable of understanding some specific commands and guiding the users. The agent is currently able to understand commands and respond in English. Therefore, it may be useful for public libraries visited or remotely used by foreign, English speaking, users. Future work consists of the implementation of language packages for Turkish and the evaluation of field tests that will be held at the library and documentation center of Trakya University, Edirne, Turkey

Design Considerations of an Interactive Robotic Agent for Public Libraries

The role of public libraries has long been recognized, rendering them a timeless offered form of public service. Users of a public library should have easy access to catalogs and full text of printed and electronic versions of books, magazines, and periodicals, as well as to multimedia databases. Every day, most public libraries are in service for several hours, thus computer-based library service applications provide a valuable service supplement. In this study, a robotic agent which guides users in libraries is proposed. The robotic agent is equipped with sound acquisition and reproduction chains and is capable of understanding some specific commands and guiding the users. The agent is currently able to understand commands and respond in English. Therefore, it may be useful for public libraries visited or remotely used by foreign, English speaking, users. Future work consists of the implementation of language packages for Turkish and the evaluation of field tests that will be held at the library and documentation center of Trakya University, Edirne, Turkey

Design considerations of an interactive robotic agent for public libraries

The role of public libraries has long been recognized, rendering them a timeless offered form of public service. Users of a public library should have easy access to catalogs and full text of printed and electronic versions of books, magazines, and periodicals, as well as to multimedia databases. Every day, most public libraries are in service for several hours, thus computer-based library service applications provide a valuable service supplement. In this study, a robotic agent which guides users in libraries is proposed. The robotic agent is equipped with sound acquisition and reproduction chains and is capable of understanding some specific commands and guiding the users. The agent is currently able to understand commands and respond in English. Therefore, it may be useful for public libraries visited or remotely used by foreign, English speaking, users. Future work consists of the implementation of language packages for Turkish and the evaluation of field tests that will be held at the library and documentation center of Trakya University, Edirne, Turkey

Playmancer project: a serious videogame as an additional therapy tool for eating and impulse control disorders

Reviews and few non-controlled studies showed the effectiveness of several specific designed computer video-games as an additional form of treatment in several areas. However, there is a lack in the literature of specially designed serious-games for treating mental disorders. Playmancer (ICT European initiative) aims to develop and assess a serious videogame that may help to treat underlying processes (e.g. lack of self-control strategies) in Eating and Impulse control disorders. Preliminary data will be shown

INSPIRE: Evaluation of a Smart-Home System for Infotainment Management and Device Control

This paper gives an overview of the assessment and evaluation methods which have been used to determine the quality of the INSPIRE smart home system. The system allows different home appliances to be controlled via speech, and consists of speech and speaker recognition, speech understanding, dialogue management, and speech output components. The performance of these components is first assessed individually, and then the entire system is evaluated in an interaction experiment with test users. Initial results of the assessment and evaluation are given, in particular with respect to the transmission channel impact on speech and speaker recognition, and the assessment of speech output for different system metaphors.Comment: 4 page