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Catalog Publications

Year 2024
  • Overcoming Phobias: Harnessing the Power of Immersive Virtual Reality Therapy
    Publication

    - Year 2024

    The goal of the chapter was to review the different therapeutic techniques used in the treatment of various forms of phobias, with particular emphasis on virtual reality treatment. We define different types of phobias, including social ones. We also describe treatment techniques – adopted from behavioral therapy – which have been developed to aid the treatment of phobias. Particular emphasis has been placed on the flooding, implosive...

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Year 2023
  • Tam gdzie fikcja spotyka się z rzeczywistością
    Publication

    - Pismo PG - Year 2023

    Na tyłach budynku A Wydziału Elektroniki, Telekomunikacji i Informatyki (tego z zerami i jedynkami na elewacji) mieści się laboratorium odmienne wyglądem od innych laboratoriów politechnicznych. Zajmuje ono sięgającą czwartego piętra czarną sześcienną kostkę dobudowaną 10 lat temu w bezpośrednim sąsiedztwie audytorium, któremu od dwóch lat patronuje doc. Marianna Sankiewicz, przysiadłszy na ławeczce przed jego wejściem. Wydaje...

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  • The Usage of the BP-Layers Stereo Matching Algorithm with the EBCA Camera Set
    Publication

    - Year 2023

    This paper is concerned with applying a stereo matching algorithm called BP-Layers to a set of many cameras. BP Layers is designed for obtaining disparity maps from stereo cameras. The algorithm takes advantage of convolutional natural networks. This paper presents using this algorithm with a set called Equal Baseline Camera Array. This set consists of up to five cameras with one central camera and other ones aground it. Such a...

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  • Virtual reality as a tool for development and simulation. Research projects and experience of the Gdańsk University of Technology
    Publication

    - Year 2023

    By supporting the human imagination, virtual reality technology can be applied in almost every human activity. This is evidenced by the cooperation of the Immersive 3D Visualization Lab with specialists representing such different professions from architects and artists, astronomers and chemists, through historians and museologists, criminologists and military educators, mechanical and ship engineers, up to physicians and psychologists....

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Year 2022
  • Affect aware video games
    Publication

    - Year 2022

    In this chapter a problem of affect aware video games is described, including such issue as: emotional model of the player, design, development and UX testing of affect-aware video games, multimodal emotion recognition and a featured review of affect-aware video games.

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  • Analysis of Factors Influencing the Prices of Tourist Offers

    Tourism is a significant branch of many world economies. Many factors influence the volume of tourist traffic and the prices of trips. There are factors that clearly affect tourism, such as COVID-19. The paper describes the methods of machine learning and process mining that allow for assessing the impact of various factors (micro, mezzo and macro) on the prices of tourist offers. The methods were used on large sets of real data...

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  • Analysis of human behavioral patterns
    Publication

    - Year 2022

    Widespread usage of Internet and mobile devices entailed growing requirements concerning security which in turn brought about development of biometric methods. However, a specially designed biometric system may infer more about users than just verifying their identity. Proper analysis of users’ characteristics may also tell much about their skills, preferences, feelings. This chapter presents biometric methods applied in several...

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  • Biometric identity verification
    Publication

    - Year 2022

    This chapter discusses methods which are capable of protecting automatic speaker verification systems (ASV) from playback attacks. Additionally, it presents a new approach, which uses computer vision techniques, such as the texture feature extraction based on Local Ternary Patterns (LTP), to identify spoofed recordings. We show that in this case training the system with large amounts of spectrogram patches may be difficult, and...

  • Computer Aided Telediagnostics System for Stoma Patients
    Publication
    • R. Zawislak
    • M. Szwoch
    • G. Granosik
    • A. Miarka
    • J. Mik-Wojtczak
    • M. Mik

    - Year 2022

    Stoma surgery may concern patients with colorectal cancer and inflammatory bowel disease. More than half of patients diagnosed with colon cancer present at an advanced stage, and palliative treatment may involve stoma formation. This type of surgery may change the patient’s life strongly, therefore they should receive special medical care. The paper presents the assumptions, concept, and architecture of the Stoma-Alert diagnosis...

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  • Document centric knowledge processes
    Publication

    - Year 2022

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  • Feature extraction in detection and recognition of graphical objects
    Publication

    - Year 2022

    Detection and recognition of graphic objects in images are of great and growing importance in many areas, such as medical and industrial diagnostics, control systems in automation and robotics, or various types of security systems, including biometric security systems related to the recognition of the face or iris of the eye. In addition, there are all systems that facilitate the personal life of the blind people, visually impaired...

  • Featured based CAVE software factory

    In the paper we convey the lessons learned along the path we have gone through several years since establishing a room-sized CAVE installation at our university, from craft manufacturing and ad-hoc software reuse of VR software products to the robust feature driven software product line (SPL) implementing the Product Line Engineering (PLE) factory paradigm. With that we can serve all our departments and other entities from the...

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  • Graphical interface adaption for children to explain astronomy proportions and distances
    Publication
    • K. García Martínez
    • J. Lebiedź
    • A. Iglesias Bustillo

    - Computer Science Research Notes - Year 2022

    Mobile Science Center is a Polish project that seeks to bring astronomy knowledge to wider social groups through various applications. In its development it is necessary to design a graphical interface that explains a concept that is difficult to assimilate such as spatial proportions and distances. This paper develops a framework to create graphical representations that explain this learning to the target audience of children....

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  • Human emotion recognition with biosignals
    Publication

    - Year 2022

    This chapter presents issues in the field of affective computing. Basic preliminary information for the recognition of emotions is given and models of emotions, various ways of evoking emotions, as well as their theoretical foundations are discussed. The particular attention is given to the use of physiological signals in recognizing emotions. This subject is outlined further below by presenting selected biosignals, their relationship...

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  • Language Models in Speech Recognition
    Publication

    - Year 2022

    This chapter describes language models used in speech recognition, It starts by indicating the role and the place of language models in speech recognition. Mesures used to compare language models follow. An overview of n-gram, syntactic, semantic, and neural models is given. It is accompanied by a list of popular software.

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  • Linking music data in executable documents
    Publication

    - Year 2022

    This paper presents the application of Interactive Open Document Architecture (IODA) to music and video data. This architecture was design to create multilayer documents which consist of many files. The paper shows the method of creating media documents on the basis of IODA. These kind of documents were called IODA Media Documents (IMD). IMD have links that connect many different kinds of files containing music and video data....

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  • Template chart detection for stoma telediagnosis
    Publication
    • M. Szwoch
    • R. Zawiślak
    • G. Granosik
    • J. Mik-Wojtczak
    • M. Mik

    - International Journal of Applied Mathematics and Computer Science - Year 2022

    The paper presents the concept of using color template charts for the needs of telemedicine, particularly telediagnosis of the stoma. Although the concept is not new, the current popularity and level of development of digital cameras, especially those embedded in smartphones, allow common and reliable remote advice on various medical problems, which can be very important in the case of limitations in a physical contact with a doctor....

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  • Virtual immersive environments
    Publication

    - Year 2022

    Yet a higher level of active systems may be achieved when users are fully immersed in an interface which is a 3D computer generated virtual world and can interact with surrounding objects of that world as they were in a real one. This is the issue covered by Chapter 7. Interaction in such a world is both multidimensional and multimodal, with the possibility of free movement of the user in any direction and the simultaneous stimulation...

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Year 2021
  • 3D Scanning of Semitransparent Amber with and without Inclusions
    Publication

    - Year 2021

    This paper is concerned with making 3D scans of semitransparent ambers with and without inclusions. The paper presents results of using a variety of devices applied for this purpose. Equipment used in the experiments includes a 3D laser scanner, a structured light scanner, a stereo camera, a camera array and a tomograph. The main object used in the experiment was an amber with a fossil of a lizard. The paper shows possibilities...

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  • Equal Baseline Camera Array—Calibration, Testbed and Applications
    Publication

    - Applied Sciences-Basel - Year 2021

    This paper presents research on 3D scanning by taking advantage of a camera array consisting of up to five adjacent cameras. Such an array makes it possible to make a disparity map with a higher precision than a stereo camera, however it preserves the advantages of a stereo camera such as a possibility to operate in wide range of distances and in highly illuminated areas. In an outdoor environment, the array is a competitive alternative...

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  • Eventual Convergence of the Reputation-Based Algorithm in IoT Sensor Networks
    Publication

    - SENSORS - Year 2021

    Uncertainty in dense heterogeneous IoT sensor networks can be decreased by applying reputation-inspired algorithms, such as the EWMA (Exponentially Weighted Moving Average) algorithm, which is widely used in social networks. Despite its popularity, the eventual convergence of this algorithm for the purpose of IoT networks has not been widely studied, and results of simulations are often taken in lieu of the more rigorous proof....

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  • Immersive Technologies that Aid Additive Manufacturing Processes in CBRN Defence Industry
    Publication
    • M. Gawlik-Kobylińska
    • P. Maciejewski
    • J. Lebiedź
    • A. Kravcov

    - International Journal on Information Technologies and Security - Year 2021

    Testing unique devices or their counterparts for CBRN (C-chemical, B-biological, R-radiological, N-nuclear) defense relies on additive manufacturing processes. Immersive technologies aid additive manufacturing. Their use not only helps understand the manufacturing processes, but also improves the design and quality of the products. This article aims to propose an approach to testing CBRN reconnaissance hand-held products developed...

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  • Just look at to open it up: A biometric verification facility for password autofill to protect electronic documents

    Electronic documents constitute specific units of information, and protecting them against unauthorized access is a challenging task. This is because a password protected document may be stolen from its host computer or intercepted while on transfer and exposed to unlimited offline attacks. The key issue is, therefore, making document passwords hard to crack. We propose to augment a common text password authentication interface...

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  • Keystroke Dynamics Patterns While Writing Positive and Negative Opinions
    Publication

    This paper deals with analysis of behavioural patterns in human–computer interaction. In the study, keystroke dynamics were analysed while participants were writing positive and negative opinions. A semi-experiment with 50 participants was performed. The participants were asked to recall the most negative and positive learning experiences (subject and teacher) and write an opinion about it. Keystroke dynamics were captured and...

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  • Klasyfikator Adaboost w detekcji i rozpoznawaniu obiektów graficznych
    Publication

    - Year 2021

    W pracy opisano metode Adaboost w zastosowaniu do detekcji obiektów graficznych, takich jak twarze lub rozpoznawania np. osób na podstawie obrazu twarzy. Przedstawiono podstawy algorytm, wersje kaskadowa, schemat przepływu danych i sterowania w zadaniu detekcji twarzy oraz sposoby adaptacji tej metody do problemów wieloklasowych. Opisano równiez zbiory cech obrazów, takie jak HAAR, LBP czy HOG stosowane w zadaniach detekcji i rozpoznawania...

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  • Mini-Cave Automatic Virtual Environment Application in Security, Safety, and Defence Studies
    Publication

    - Year 2021

    The aim of the article is to analyse the use of mini-Cave Automatic Virtual Reality Environment (mini-CAVE) in academic studies on security, safety, and defence. The literature review based on Web of Science database and the case study of the War Studies University research activities indicated the mini-CAVE can be used in two areas as a research infrastructure and as a didactic tool. It can be concluded that due to the development...

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  • Multiuser Stereoscopic Projection Techniques for CAVE-Type Virtual Reality Systems

    Despite the development of increasingly popular head mounted displays, CAVE-type systems may still be considered one of the most immersive virtual reality systems with many advantages. However, a serious limitation of most CAVE-type systems is the generation of a three-dimensional (3-D) image from the perspective of only one person. This problem is significant because in some applications, the participants must cooperate with each...

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Year 2020
  • 3D Vision System for a Robotic Arm Based on Equal Baseline Camera Array

    This paper presents a lightweight 3D vision system called Equal Baseline Camera Array (EBCA). EBCA can work in different light conditions and it can be applied for measuring large range of distances. The system is a useful alternative to other known distance measuring devices such as structured-light 3D scanners, time-of-flight cameras, Light Detection and Ranging (LIDAR) devices and structure from motion techniques. EBCA can be...

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  • A Review of Emotion Recognition Methods Based on Data Acquired via Smartphone Sensors
    Publication

    In recent years, emotion recognition algorithms have achieved high efficiency, allowing the development of various affective and affect-aware applications. This advancement has taken place mainly in the environment of personal computers offering the appropriate hardware and sufficient power to process complex data from video, audio, and other channels. However, the increase in computing and communication capabilities of smartphones,...

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  • Autonomous Ship Utility Model Parameter Estimation Utilising Extended Kalman Filter

    In this paper, a problem of autonomous ship utility model identification for control purposes is considered. In particular, the problem is formulated in terms of model parameter estimation (one-step-ahead prediction). This is a complex task due to lack of measurements of the parameter values, their time-variability and structural uncertainty introduced by the available models. In this work, authors consider and compare two utility...

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  • Factors Affecting the Effectiveness of Military Training in Virtual Reality Environment
    Publication
    • M. Gawlik-Kobylińska
    • P. Maciejewski
    • J. Lebiedź
    • A. Wysokińska-Senkus

    - Year 2020

    In this paper, we explored the factors influencing the effectiveness of military trainings performed in a virtual reality environment. The rationale for taking up the topic is the fact that such trainings are often conducted under specific operational procedures. These procedures may create rigorous frameworks for all elements of the learning environment, including the teacher’s performance. Therefore, to ensure the most conducive...

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  • Texture Features for the Detection of Playback Attacks: Towards a Robust Solution

    This paper describes the new version of a method that is capable of protecting automatic speaker verification (ASV) systems from playback attacks. The presented approach uses computer vision techniques, such as the texture feature extraction based on Local Ternary Patterns (LTP), to identify spoofed recordings. Our goal is to make the algorithm independent from the contents of the training set as much as possible; we look for the...

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  • To Survive in a CBRN Hostile Environment: Application of CAVE Automatic Virtual Environments in First Responder Training
    Publication
    • P. Maciejewski
    • M. Gawlik-Kobylińska
    • J. Lebiedź
    • W. Ostant
    • D. Aydın

    - Year 2020

    This paper is of a conceptual nature and focuses on the use of a specific virtual reality environment in civil-military training. We analyzed the didactic potential of so-called CAVE automatic virtual environments for First Responder training, a type of training that fills the gap between First Aid training and the training received by emergency medical technicians. Since real training involves live drills based on unexpected situations,...

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  • Trust-Based Model for the Assessment of the Uncertainty of Measurements in Hybrid IoT Networks
    Publication

    - SENSORS - Year 2020

    The aim of this paper is to introduce a NUT model (NUT: network-uncertainty-trust) that aids the decrease of the uncertainty of measurements in autonomous hybrid Internet of Things sensor networks. The problem of uncertainty in such networks is a consequence of various operating conditions and varied quality of measurement nodes, making statistical approach less successful. This paper presents a model for decreasing the uncertainty...

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  • Weighted Clustering for Bees Detection on Video Images
    Publication

    This work describes a bee detection system to monitor bee colony conditions. The detection process on video images has been divided into 3 stages: determining the regions of interest (ROI) for a given frame, scanning the frame in ROI areas using the DNN-CNN classifier, in order to obtain a confidence of bee occurrence in each window in any position and any scale, and form one detection window from a cloud of windows provided by...

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  • Wirtualna rekonstrukcja Jaszczurki Gierłowskiej = Virtual reconstruction of Gierłowska’s Lizard
    Publication

    - Bursztynisko - Year 2020

    Gdańsk znany jest z posiadania wielu osobliwości. Jedną z nich jest niewielka, choć licząca aż 44 miliony lat jaszczurka (podrząd Sauria, rodzina Lacertidae) zatopiona w trzyipółcentymetrowej bryłce bursztynu bałtyckiego – sukcynitu. Określa się ją mianem Jaszczurki Gierłowskiej, jako że w czerwcu 1997 r. znalazła ją na gdańskich Stogach bursztynniczka Gabriela Gierłowska. Obecnie bursztyn z jaszczurką oglądać można w Muzeum Bursztynu...

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Year 2019
Year 2018
Year 2017
  • A new library for construction of automata
    Publication

    - Year 2017

    We present a new library of functions that construct minimal, acyclic, deterministic, finite-state automata in the same format as the author's fsa package, and also accepted by the author's fadd library of functions that use finite-state automata as dictionaries in natural language processing.

  • Automatic recognition of therapy progress among children with autism
    Publication

    - Scientific Reports - Year 2017

    The article presents a research study on recognizing therapy progress among children with autism spectrum disorder. The progress is recognized on the basis of behavioural data gathered via five specially designed tablet games. Over 180 distinct parameters are calculated on the basis of raw data delivered via the game flow and tablet sensors - i.e. touch screen, accelerometer and gyroscope. The results obtained confirm the possibility...

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  • Behaviometrics of Digital Games for Children with Autism Spectrum Disorder

    Te paper reports current stage of the project Automated Terapy Monitoring for Children with Developmental Disorders of Autism Spectrum (AUTMON), that aims at development of methods and tools to allow for the automatic evaluation of the therapy progress among children with autism. Finding objective measures suitable for evaluating therapy progress would let create a system supporting those who diagnose autism and the therapists...

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  • Multiclass AdaBoost Classifier Parameter Adaptation for Pattern Recognition

    The article presents the problem of parameter value selection of the multiclass ``one against all'' approach of an AdaBoost algorithm in tasks of object recognition based on two-dimensional graphical images. AdaBoost classifier with Haar features is still used in mobile devices due to the processing speed in contrast to other methods like deep learning or SVM but its main drawback is the need to assembly the results of binary...

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  • Playback Attack Detection: The Search for the Ultimate Set of Antispoof Features
    Publication

    - Year 2017

    Automatic speaker verification systems are vulnerable to several kinds of spoofing attacks. Some of them can be quite simple – for example, the playback of an eavesdropped recording does not require any specialized equipment nor knowledge, but still may pose a serious threat for a biometric identification module built into an e-banking application. In this paper we follow the recent approach and convert recordings to images, assuming...

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  • Playback detection using machine learning with spectrogram features approach
    Publication

    - Year 2017

    This paper presents 2D image processing approach to playback detection in automatic speaker verification (ASV) systems using spectrograms as speech signal representation. Three feature extraction and classification methods: histograms of oriented gradients (HOG) with support vector machines (SVM), HAAR wavelets with AdaBoost classifier and deep convolutional neural networks (CNN) were compared on different data partitions in respect...

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  • Podstawy projektowania interfejsów użytkownika
    Publication

    - Year 2017

    Dobry interfejs użytkownika to podstawa sukcesu każdej aplikacji! Poznaj różne sposoby komunikowania się użytkownika z komputerem. Dowiedz się, co w kwestii interfejsu użytkownika oferują współczesne urządzenia i programy Naucz się projektować efektowne i proste w obsłudze interfejsy użytkownika. Interfejs użytkownika to wizytówka każdej aplikacji komputerowej i strony WWW, a także brama zapewniająca dostęp do ich funkcji. Nawet...

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  • Stereo Camera Upgraded to Equal Baseline Multiple Camera Set (EBMCS)
    Publication

    - Year 2017

    The paper presents the results of using a set of five cameras called Equal Baseline Multiple Camera Set (EBMCS) for making 3D images, disparity maps and depth maps. Cameras in the set are located in the vicinity of each other and therefore the set can be used for the purpose of stereoscopy similarly as a stereo camera.EBMCS provides disparity maps and depth maps which have a better quality than these maps obtained with the use...

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  • Stereo vision with Equal Baseline Multiple Camera Set (EBMCS) for obtaining depth maps of plants

    This paper presents a method of improving the estimation of distances between an autonomous harvesting robot and plants with ripe fruits by using the vision system based on five cameras. The system is called Equal Baseline Multiple Camera Set (EBMCS). EBMCS has some features of a camera matrix and a camera array. EBMCS is regarded as a set of stereo cameras for estimating distances by obtaining disparity maps and depth maps. This...

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  • Virtual designs and reconstructions of amber works: Amber craftsman simulator
    Publication

    This paper presents the concept of visualization of amber works in a virtual reality cave. It describes problems encountered during the acquisition, modeling and rendering of geometrical objects distinguished by heterogeneous transparency.

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Year 2016
Year 2015
  • Acceptance Testing of Software Products for Cloud-Based On-Line Delivery
    Publication

    Software products intended for on-line delivery by distributors serving an open community of subscribers are developed in a specific life-cycle model, in which roles of the major stakeholders are strongly separated, unlike in any other software development model known in software engineering. Its specificity underlines the fact that a distributor of the final product, responsible for its acceptance for publication and delivery...

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  • Acquisition and indexing of RGB-D recordings for facial expressions and emotion recognition
    Publication

    In this paper KinectRecorder comprehensive tool is described which provides for convenient and fast acquisition, indexing and storing of RGB-D video streams from Microsoft Kinect sensor. The application is especially useful as a supporting tool for creation of fully indexed databases of facial expressions and emotions that can be further used for learning and testing of emotion recognition algorithms for affect-aware applications....

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  • An extension to the FEEDB Multimodal Database of Facial Expressions and Emotions
    Publication
    • M. Szwoch
    • L. Marco-gimenez
    • M. Arevalillo-herráez
    • A. Ayesh

    - Year 2015

    FEEDB is a multimodal database that contains recordings of people expressing different emotions, captured by using a Microsoft Kinect sensor. Data were originally provided in the device’s proprietary format (XED), requiring both the Microsoft Kinect Studio application and a Kinect sensor attached to the system to use the files. In this paper, we present an extension of the database. For a selection of recordings, we also provide...

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  • AUTOMATED NEGOTIATIONS OVER COLLABORATION PROTOCOL AGREEMENTS
    Publication

    - Year 2015

    The dissertation focuses on the augmentation of proactive document - agents with built-in intelligence to recognize execution context provided by devices visited during a business process, and to reach collaboration agreement despite conflicting requirements. The proposed solution, based on intelligent bargaining using neural networks to improve simple multi-issue negotiation between the document and thedevice, requires practically...

  • Automatyczna negocjacja protokołu uzgodnień miedzy agentami
    Publication

    - Year 2015

    Automatyczna negocjacja protokołu uzgodnień między agentami programowymi a urządzeniami wykonawczymi. Rozdział koncentruje się na rozszerzeniu funkcjonalności proaktywnych dokumentów(agentów) z wbudowana inteligencją o możliwości negocjacyjne.Ich celem jest umożliwienie rozpoznawania kontekstu wykonawczego urządzenia odwiedzanego przez dokument, by osiągnąć ugodę mimo skonfliktowanych wymagań urządzenia i dokumentu. Proponowane...

  • Bilateral Multi-Issue Negotiation Between Active Documents and Execution Devices
    Publication

    Mobile document-agents are often in conflict with execution devices when attempting to perform activities of the business process they implement, since preferences of device owners may change depending on their current location and the actual class of the device in use. The paper proposes a bilateral negotiation mechanism based on a simple bargaining game that can effectively resolve such conflicts without any third party support.

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  • Człowiek zanurzony w rzeczywistości wirtualnej na przykładzie Laboratorium Zanurzonej Wizualizacji Przestrzennej
    Publication

    - Year 2015

    Artykuł opisuje Laboratorium Zanurzonej Wizualizacji Przestrzennej (LZWP), które umożliwia swobodną podróż w czasie i przestrzeni. Jego podstawowym wyposażeniem jest jaskinia rzeczywistości wirtualnej, czyli pomieszczenie o ścianach, suficie i podłodze stanowiących ekrany projekcyjne, wyświetlające generowane komputerowo obrazy 3D, tworzące spójny widok jednej sceny. Człowiek znajdujący się w takiej jaskini jest zatem zanurzony...

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  • Design Elements of Affect Aware Video Games
    Publication

    - Year 2015

    In this paper issues of design and development process of affect-aware video games are presented. Several important design aspects of such games are pointed out. A concept of a middleware framework is proposed that separates the development of affect-aware video games from emotion recognition algorithms and support from input sensors. Finally, two prototype affect-aware video games are presented that conform to the presented architecture...

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  • Detection of Face Position and Orientation Using Depth Data
    Publication

    In this paper an original approach is presented for real-time detection of user's face position and orientation based only on depth channel from a Microsoft Kinect sensor which can be used in facial analysis on scenes with poor lighting conditions where traditional algorithms based on optical channel may have failed. Thus the proposed approach can support, or even replace, algorithms based on optical channel or based on skeleton...

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  • Document Agents with the Intelligent Negotiations Capability
    Publication

    The paper focus is on augmenting proactive document-agents with built -in intelligence to enable them to recognize execution context provided by devices visited durning the business process, and to reach collaboration agreement despite of their conflicting requirements. We propose a solution based on neural networks to improve simple multi-issue negotiation between the document and the device, practically with no excessive cost...

  • Emotion Recognition for Affect Aware Video Games

    In this paper the idea of affect aware video games is presented. A brief review of automatic multimodal affect recognition of facial expressions and emotions is given. The first result of emotions recognition using depth data as well as prototype affect aware video game are presented

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  • Emotion Recognition Using Physiological Signals
    Publication

    - Year 2015

    In this paper the problem of emotion recognition using physiological signals is presented. Firstly the problems with acquisition of physiological signals related to specific human emotions are described. It is not a trivial problem to elicit real emotions and to choose stimuli that always, and for all people, elicit the same emotion. Also different kinds of physiological signals for emotion recognition are considered. A set of...

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  • Evaluation Criteria for Affect-Annotated Databases

    In this paper a set of comprehensive evaluation criteria for affect-annotated databases is proposed. These criteria can be used for evaluation of the quality of a database on the stage of its creation as well as for evaluation and comparison of existing databases. The usefulness of these criteria is demonstrated on several databases selected from affect computing domain. The databases contain different kind of data: video or still...

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  • Face Recognition: Shape versus Texture
    Publication

    - Year 2015

    This paper describes experiments related to the application of well-known techniques of the texture feature extraction (Local Binary Patterns and Gabor filtering) to the problem of automatic face verification. Results of the tests show that simple image normalization strategy based on the eye center detection and a regular grid of fiducial points outperforms the more complicated approach, employing active models that are able to...

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  • Facial emotion recognition using depth data
    Publication

    - Year 2015

    In this paper an original approach is presented for facial expression and emotion recognition based only on depth channel from Microsoft Kinect sensor. The emotional user model contains nine emotions including the neutral one. The proposed recognition algorithm uses local movements detection within the face area in order to recognize actual facial expression. This approach has been validated on Facial Expressions and Emotions Database...

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  • Improving depth maps of plants by using a set of five cameras
    Publication

    Obtaining high-quality depth maps and disparity maps with the use of a stereo camera is a challenging task for some kinds of objects. The quality of these maps can be improved by taking advantage of a larger number of cameras. The research on the usage of a set of five cameras to obtain disparity maps is presented. The set consists of a central camera and four side cameras. An algorithm for making disparity maps called multiple...

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  • Interactions with recognized patients using smart glasses
    Publication

    - Year 2015

    Recently, different smart glasses solutions have been proposed on the market. The rapid development of this wearable technology has led to several research projects related to applications of smart glasses in healthcare. In this paper we propose a general architecture of the system enabling data integration for the recognized person. In the proposed system smart glasses integrates data obtained for the recognized patient from health...

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  • Local Texture Pattern Selection for Efficient Face Recognition and Tracking

    This paper describes the research aimed at finding the optimal configuration of the face recognition algorithm based on local texture descriptors (binary and ternary patterns). Since the identification module was supposed to be a part of the face tracking system developed for interactive wearable computer, proper feature selection, allowing for real-time operation, became particularly important. Our experiments showed that it is...

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  • Model of emotions for game players
    Publication

    - Year 2015

    Affect-aware video games can respond to a game player's emotions. Such games seem to be more attractive for users. Therefore for that kind of games it is necessary to create a model of the player's emotions to know to which emotions the application should react. The paper describes different models of emotions. The questionnaire and experiment for video game players is presented. Some results of the tests are shown. Then the model...

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  • Modeling emotions for affect-aware applications

    The chapter concerns emotional states representation and modeling for software systems, that deal with human affect. A review of emotion representation models is provided, including discrete, dimensional and componential models. The paper provides also analysis of emotion models used in diverse types of affect-aware applications: games, mood trackers or tutoring systems. The analysis is supported with two design cases. The study...

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  • Możliwości wyszukiwania dokumentów muzycznych utworzonych zgodnie z architekturą IODA

    Artykuł przedstawia zagadnienie zastosowania dokumentów muzycznych utworzonych zgodnie z architekturą IODA (ang. Interactive Open Document Architecture). Dokumenty w architekturze IODA składają się z wielu plików powiązanych ze sobą semantycznie. Zależności te definiowane są w tzw. grzbiecie (ang. spine) dokumentu będącym plikiem w formacie XML (ang. eXtensible Markup Language). Dokumenty muzyczne tworzone zgodnie z architekturą...

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