Search results for: THERAPY PROGRESS RECOGNITION - Bridge of Knowledge

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Search results for: THERAPY PROGRESS RECOGNITION

Search results for: THERAPY PROGRESS RECOGNITION

  • 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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  • Applications for investigating therapy progress of autistic children

    Publication

    The paper regards supporting behavioral therapy of autistic children with mobile applications, specifically applied for measuring the child’s progress. A family of five applications is presented, that was developed as an investigation tool within the project aimed at automation of therapy progress monitoring. The applications were already tested with children with autism spectrum disorder. Hereby we analyse children’ experience...

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  • Recent progress in the engineering of multifunctional colloidal nanoparticles for enhanced photodynamic therapy and bioimaging

    Publication
    • Ł. Lamch
    • A. Pucek
    • J. Kulbacka
    • M. Chudy
    • E. Jastrzębska
    • K. Tokarska
    • M. Bułka
    • Z. Brzózka
    • K. Wilk

    - ADVANCES IN COLLOID AND INTERFACE SCIENCE - Year 2018

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  • Using Physiological Signals for Emotion Recognition

    Publication

    - Year 2013

    Recognizing user’s emotions is the promising area of research in a field of human-computer interaction. It is possible to recognize emotions using facial expression, audio signals, body poses, gestures etc. but physiological signals are very useful in this field because they are spontaneous and not controllable. In this paper a problem of using physiological signals for emotion recognition is presented. The kinds of physiological...

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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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  • E-technologie w diagnozie i pomiarach postępów terapii dzieci z autyzmem w Polsce

    Publication

    - e-mentor - Year 2014

    Celem artykułu jest przeanalizowanie możliwości wsparcia technologicznego - w szczególności z wykorzystaniem urządzeń mobilnych - diagnozy i oceny postępów terapii dzieci z autyzmem. W ramach badań dokonano przeglądu istniejących rozwiązań wspierających diagnozę i pomiar postępów terapii oraz przeprowadzono ankietę w polskich ośrodkach zajmujących się pracą z osobami dotkniętymi autyzmem. Wyniki badania wskazują na zainteresowanie...

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  • Automatic Emotion Recognition in Children with Autism: A Systematic Literature Review

    Publication

    - SENSORS - Year 2022

    The automatic emotion recognition domain brings new methods and technologies that might be used to enhance therapy of children with autism. The paper aims at the exploration of methods and tools used to recognize emotions in children. It presents a literature review study that was performed using a systematic approach and PRISMA methodology for reporting quantitative and qualitative results. Diverse observation channels and modalities...

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  • State of the art electronic nose technology and future trends

    Publication

    - Year 2010

    This chapter briefly reviews the progress in field of artificial olfaction and demonstrates future trends in electronic nose technology. The discussion about e-nose concern also a big challenge for the pattern recognition (PARC) systems due to several particular problems they involve. Finally, the application of e-nose in different areas of life is given.

  • The project IDENT: Multimodal biometric system for bank client identity verification

    Biometric identity verification methods are implemented inside a real banking environment comprising: dynamic handwritten signature verification, face recognition, bank cli-ent voice recognition and hand vein distribution verification. A secure communication system based on an intra-bank client-server architecture was designed for this purpose. Hitherto achieved progress within the project is reported in this paper with a focus...

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  • Julita Wasilczuk dr hab.

    Born on 5th of April, 1965 in Gdansk. In 1987-1991 studied the economics of transport, at the University of Gdansk. At 1993 she started to work at the Faculty of Management and Economics. In 1997 received a PhD at the faculty, in 2006 habilitation at the Faculty of Management, University of Gdansk. Since 2009 Associate Professor at Gdansk University of Technology. In 2010-2012 Associate Professor of Humanistic High School at Gdansk. The...

  • ROAD SAFETY WITHIN THE "INTEGRATED SYSTEM OF TRANSPORT SAFETY"

    Publication

    The concept of the “Integrated System of Transport Safety” in Poland is a novel solution, built upon the best practices available from only a handful of countries in the world. In the last few decades, the extent of applying integrated transport safety systems to improve transport safety systems has varied; nevertheless, studying the experience of the safest countries in the world we can say that enormous progress has been achieved...

  • Analysis of human behavioral patterns

    Publication

    - Year 2023

    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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  • Affective Learning Manifesto – 10 Years Later

    Publication

    - Year 2014

    In 2004 a group of affective computing researchers proclaimed a manifesto of affective learning that outlined the prospects and white spots of research at that time. Ten years passed by and affective computing developed many methods and tools for tracking human emotional states as well as models for affective systems construction. There are multiple examples of affective methods applications in Intelligent Tutoring Systems (ITS)....

  • DECISION - MAKING IN VIRTUAL SOFTWARE TEAMS USING CLOUD PLATFORMS

    Publication

    Software development projects are usually realized by traditional or virtual IT teams using computing clouds. Team collaboration requires decision - making regarding essential aspects of a project progress. The article concerns methods of decision – making process in the case of traditional and virtual teams’ work. The research results conducted in a group of IT specialists are presented, and to analyze their preferences in decision-making...

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  • Robust Object Detection with Multi-input Multi-output Faster R-CNN

    Publication

    - Year 2022

    Recent years have seen impressive progress in visual recognition on many benchmarks, however, generalization to the out-of-distribution setting remains a significant challenge. A state-of-the-art method for robust visual recognition is model ensembling. However, recently it was shown that similarly competitive results could be achieved with a much smaller cost, by using multi-input multi-output architecture (MIMO). In this work,...

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  • Robust Object Detection with Multi-input Multi-output Faster R-CNN

    Publication

    - Year 2022

    Recent years have seen impressive progress in visual recognition on many benchmarks, however, generalization to the out-of-distribution setting remains a significant challenge. A state-of-the-art method for robust visual recognition is model ensembling. However, recently it was shown that similarly competitive results could be achieved with a much smaller cost, by using multi-input multi-output architecture (MIMO). In this work,...

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  • Using Eye-tracking to get information on the skills acquisition by the radiology residents

    This paper describes the possibility of monitoring the progress of knowledge and skills acquisition by the students of radiology. It is achieved by an analysis of a visual attention distribution patterns during image-based tasks solving. The concept is to use the eye-tracking data to recognize the way how the radiographic images are read by recognized experts, radiography residents involved in the training program, and untrained...

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  • Paweł Możejko dr hab.

  • Advances in olfaction-inspired biomaterials applied to bioelectronic noses

    Publication

    - SENSORS AND ACTUATORS B-CHEMICAL - Year 2018

    Among all the senses, olfactory system of mammals is the least characterised as far as the mechanisms of odour identification are concerned. The results of recent investigations allow better understanding of the operation mechanism of the sense of smell. Progress in this field is crucial for the development of sensor technology based on olfaction-inspired biomaterials, which simulate the olfactory system of the biological counterparts....

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  • From Knowledge based Vision Systems to Cognitive Vision Systems: A Review

    Publication

    - Year 2018

    Computer vision research and applications have their origins in 1960s. Limitations in computational resources inherent of that time, among other reasons, caused research to move away from artificial intelligence and generic recognition goals to accomplish simple tasks for constrained scenarios. In the past decades, the development in machine learning techniques has contributed to noteworthy progress in vision systems. However,...

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  • Koncepcja analizy stanów emocjonalnych użytkowników w kontekście systemów zabezpieczeń transportowych

    Autorzy, przywołując własne i światowe badania nad rozpoznawaniem emocji ludzkich z obrazu twarzy, wskazują na możliwość zastosowania algorytmów komputerowych i ich implementacji w komputerach osobistych (i innych urządzeniach personalnych wyposażonych w dostatecznie silny procesor obliczeniowy). Zastosowanie takiego rozwiązania może poprawić bezpieczeństwo użytkowania urządzeń, maszyn i pojazdów, których operatorzy muszą gwarantować...

  • New, fast and cheap prediction tests for BRCA1 gene mutations identification in clinical samples.

    Publication
    • A. Gajda-Walczak
    • A. Potęga
    • A. Kowalczyk
    • S. Sęk
    • S. Zięba
    • A. Kowalik
    • A. Kudelski
    • A. M. Nowicka

    - Scientific Reports - Year 2023

    Despite significant progress in cancer therapy, cancer is still the second cause of mortality in the world. The necessity to make quick therapeutic decisions forces the development of procedures allowing to obtain a reliable result in a quick and unambiguous manner. Currently, detecting predictive mutations, including BRCA1, is the basis for effectively treating advanced breast cancer. Here, we present new insight on gene mutation...

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  • Enabling Deeper Linguistic-based Text Analytics – Construct Development for the Criticality of Negative Service Experience

    Publication

    - IEEE Access - Year 2019

    Significant progress has been made in linguistic-based text analytics particularly with the increasing availability of data and deep learning computational models for more accurate opinion analysis and domain-specific entity recognition. In understanding customer service experience from texts, analysis of sentiments associated with different stages of the service lifecycle is a useful starting point. However, when richer insights...

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  • Deep learning techniques for biometric security: A systematic review of presentation attack detection systems

    Publication

    - ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE - Year 2024

    Biometric technology, including finger vein, fingerprint, iris, and face recognition, is widely used to enhance security in various devices. In the past decade, significant progress has been made in improving biometric sys- tems, thanks to advancements in deep convolutional neural networks (DCNN) and computer vision (CV), along with large-scale training datasets. However, these systems have become targets of various attacks, with...

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  • PROGRESS IN ORGANIC COATINGS

    Journals

    ISSN: 0300-9440

  • Nanomaterials for photothermal and photodynamic cancer therapy

    Publication
    • B. Nasseri
    • E. Alizadeh
    • F. Bani
    • S. Davaran
    • A. Akbarzadeh
    • N. Rabiee
    • A. Bahadori
    • M. Ziaei
    • M. Bagherzadeh
    • M. Saeb... and 2 others

    - Applied Physics Reviews - Year 2022

    In recent years, the role of optically sensitive nanomaterials has become powerful moieties in therapeutic techniques and has become particularly emphasized. Currently, by the extraordinary development of nanomaterials in different fields of medicine, they have found new applications. Phototherapy modalities, such as photothermal therapy (PTT) by toxic heat generation and photodynamic therapy (PDT) by reactive oxygen species, are...

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  • Uncertainty in emotion recognition

    Purpose–The purpose of this paper is to explore uncertainty inherent in emotion recognition technologiesand the consequences resulting from that phenomenon.Design/methodology/approach–The paper is a general overview of the concept; however, it is basedon a meta-analysis of multiple experimental and observational studies performed over the past couple of years.Findings–The mainfinding of the paper might be summarized as follows:...

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  • Green Therapy w projektowaniu ośrodków medycznych Green Therapy in complex design of health centres

    Publication

    Koncepcja przestrzenna ogrodu terapeutycznego podporządkowana jest generalnej idei otwierania się projektantów na poszukiwanie nowych możliwości poprawy samopoczucia odbiorcy - poprzez zapewnienie użytkownikom poczucia bezpieczeństwa, komfortu i odprężenia, harmonii. Dotyczy to nie tylko grupy osób chorych, które dręczone są przez niepokoje i napięcia wywołane przez niepełnosprawność czy chorobę, ale także pacjentów w różnym wieku...

  • Recognition and sensing of anions

    Publication

    Molecular ion recognition is one of the most intensively studied areas of supramolecular technology. The reason for this is the essential role that ions play in many biological as well as industrial processes. On the other hand, however, it has been proved that ions can have a negative impact on human health and the environment. For these reasons, it is extremly important to develop rapid and simple methods allowing the determination...

  • Phage Therapy—Challenges, Opportunities and Future Prospects

    Publication

    The increasing drug resistance of bacteria to commonly used antibiotics creates the need to search for and develop alternative forms of treatment. Phage therapy fits this trend perfectly. Phages that selectively infect and kill bacteria are often the only life-saving therapeutic option. Full legalization of this treatment method could help solve the problem of multidrug-resistant infectious diseases on a global scale. The aim of...

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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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  • Integration in Multichannel Emotion Recognition

    Publication

    - Year 2018

    The paper concerns integration of results provided by automatic emotion recognition algorithms. It presents both the challenges and the approaches to solve them. Paper shows experimental results of integration. The paper might be of interest to researchers and practitioners who deal with automatic emotion recognition and use more than one solution or multichannel observation.

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  • Recent progress in controlled carbonization of (waste) polymers

    Publication

    - PROGRESS IN POLYMER SCIENCE - Year 2019

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  • The progress in technology of biodegradable polymers

    e-Learning Courses
    • H. Janik

    Kurs obejmuje 15 godz. Wykładów (18-22.01. 2021)z zagadnień związanych z omówieniem różnych polimerów biodegradowalnych, ich syntezą i postąpami w otrzymywaniu, analizie, zastosowaniu.

  • 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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  • Recent progress in experimental studies of electrohydrodynamic flow in electrostatic precipitators

    Publication

    - Journal of Physics : Conference Series - Year 2013

    Many experimental, theoretical and numerical works were devoted to the electrohydrodynamic (EHD) flow generated in electrostatic precipitators (EPSs). The generally accepted conclusion from these studies is that the EHD flow plays an important role in the particle collection in ESPs. However, despite of the recent fast progress in numerical simulation and experimental techniques used in the ESPs studies many problems related to...

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  • Course restoration in progress copy 1

    e-Learning Courses

  • Metal–Organic Frameworks (MOFs) for Cancer Therapy

    Publication
    • M. Saeb
    • N. Rabiee
    • M. Mozafari
    • F. Verpoort
    • L. G. Voskressensky
    • R. Luque

    - Materials - Year 2021

    MOFs exhibit inherent extraordinary features for diverse applications ranging from catalysis, storage, and optics to chemosensory and biomedical science and technology. Several procedures including solvothermal, hydrothermal, mechanochemical, electrochemical, and ultrasound techniques have been used to synthesize MOFs with tailored features. A continued attempt has also been directed towards functionalizing MOFs via “post-synthetic...

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  • Automatic sound recognition for security purposes

    Publication

    - Year 2008

    In the paper an automatic sound recognition system is presented. It forms a part of a bigger security system developed in order to monitor outdoor places for non-typical audio-visual events. The analyzed audio signal is being recorded from a microphone mounted in an outdoor place thus a non stationary noise of a significant energy is present in it. In the paper an especially designed algorithm for outdoor noise reduction is presented,...

  • Recognition of Hand Drawn Flowcharts

    Publication

    - Year 2013

    In this paper the problem of hand drawn flowcharts recognition is presented. There are described two attitudes to this problem: on-line and off-line. A concept of FCE, a system for recognizing and understanding of freehand drawn on-line flow charts on desktop computer and mobile devices is presented. The first experiments with the FCE system and the planes for future are also described.

  • Semantic Integration of Heterogeneous Recognition Systems

    Publication

    - LECTURE NOTES IN COMPUTER SCIENCE - Year 2011

    Computer perception of real-life situations is performed using a variety of recognition techniques, including video-based computer vision, biometric systems, RFID devices and others. The proliferation of recognition modules enables development of complex systems by integration of existing components, analogously to the Service Oriented Architecture technology. In the paper, we propose a method that enables integration of information...

  • Mobile Activity Plan Applications for Behavioral Therapy of Autistic Children

    This paper concerns technological support for behavioral therapy of autistic children. A family of tools dedicated for mobile devices is presented, that allows to design and perform an activity schedule in behavioral therapy. The paper describes the main challenges, that were encountered, especially in meeting the non-functional requirements of the application: simplicity, repeatability, robustness, personalization, re-usability...

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  • 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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  • System supporting behavioral therapy for children with autism

    In this paper, a system supporting behavioral therapy for autistic children is presented. The system consists of sensors network, base station and a brooch indicating person's emotional states. The system can be used to measure values of physiological parameters that are associated with changes in the emotional state. In the future, it can be useful to inform the autistic child and the therapist about the emotional state of the...

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  • Emotion Recognition and Its Applications

    The paper proposes a set of research scenarios to be applied in four domains: software engineering, website customization, education and gaming. The goal of applying the scenarios is to assess the possibility of using emotion recognition methods in these areas. It also points out the problems of defining sets of emotions to be recognized in different applications, representing the defined emotional states, gathering the data and...

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  • Rough Sets Applied to Mood of Music Recognition

    Publication

    - Year 2016

    With the growth of accessible digital music libraries over the past decade, there is a need for research into automated systems for searching, organizing and recommending music. Mood of music is considered as one of the most intuitive criteria for listeners, thus this work is focused on the emotional content of music and its automatic recognition. The research study presented in this work contains an attempt to music emotion recognition...

  • Examining Feature Vector for Phoneme Recognition

    Publication

    - Year 2018

    The aim of this paper is to analyze usability of descriptors coming from music information retrieval to the phoneme analysis. The case study presented consists in several steps. First, a short overview of parameters utilized in speech analysis is given. Then, a set of time and frequency domain-based parameters is selected and discussed in the context of stop consonant acoustical characteristics. A toolbox created for this purpose...

  • Tinnitus Therapy Based on High-Frequency Linearization

    Publication

    - Year 2011

    The aim of this work was to present problems related to tinnitus symptoms, its pathogenesis, hypotheses on tinnitus causes, and therapy treatments to reduce or mask the phantom noise. In addition, the hypothesis on the existence of parasitic quantization that accompanies hearing loss was recalled. The paper contains a description of experiments carried out with the application of high-frequency dither having specially formed spectral...

  • 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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  • The 15th Workshop on Progress in Trace Metal Speciation for Environmental Analytical Chemistry

    Artykuł jest sprawozdaniem z konferencji TRACESPEC - the 15th Workshop on progress in trace Metal Speciation for Environmental Analytical Chemistry, ktora odbyla sie we wrzesniu 2016 na Politechnice Gdańskiej. W artykule przedstawiono głowne cele i załozenia konferencji oraz opisano program naukowy.

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