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Wyniki wyszukiwania dla: FACIAL EXPRESSION ANALYSIS
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Image based analysis of emotional expression development in facial transplant patient
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DevEmo—Software Developers’ Facial Expression Dataset
PublikacjaThe COVID-19 pandemic has increased the relevance of remote activities and digital tools for education, work, and other aspects of daily life. This reality has highlighted the need for emotion recognition technology to better understand the emotions of computer users and provide support in remote environments. Emotion recognition can play a critical role in improving the remote experience and ensuring that individuals are able...
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Brain-Inspired Deep Networks for Facial Expression Recognition. Frontiers in Biomedical Technologies
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Analysis of a gene expression model
PublikacjaWe study a mathematical model of gene transcription and protein synthesis with negative feedback. We consider a system of equations taking into account the number of active binding sites, the way in which dimers bind to DNA and time delay in translation process. For a simplified model that consist of three ordinary differential equations with time delay we derive conditions for stability of the positive steady state and for the...
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Driver fatigue detection method based on facial image analysis
PublikacjaNowadays, ensuring road safety is a crucial issue that demands continuous development and measures to minimize the risk of accidents. This paper presents the development of a driver fatigue detection method based on the analysis of facial images. To monitor the driver's condition in real-time, a video camera was used. The method of detection is based on analyzing facial features related to the mouth area and eyes, such as...
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Image-based Analysis of Emotional Facial Expressions in Full Face Transplants
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Super-resolved Thermal Imagery for High-accuracy Facial Areas Detection and Analysis
PublikacjaIn this study, we evaluate various Convolutional Neural Networks based Super-Resolution (SR) models to improve facial areas detection in thermal images. In particular, we analyze the influence of selected spatiotemporal properties of thermal image sequences on detection accuracy. For this purpose, a thermal face database was acquired for 40 volunteers. Contrary to most of existing thermal databases of faces, we publish our dataset...
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ANALYSIS OF THE p53 PROTEIN GENE EXPRESSION MODEL
PublikacjaWe study the asymptotic behaviour of the solutions of the p53-Mdm2 model proposed by Monk (2003). The p53 gene is crucial for cellular inhibition of the angiogenesis process, while Mdm2 is a negative regulator of the p53 tumor-suppressor. We investigate the stability of the positive steady state and perform some numerical experiments.
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The analysis of the expression of hTERT in anthraquinone-treated NSCLC cells
Dane BadawczeThe datasets showcase an analysis of hTERT relative gene expression in NSCLC cells treated with anthraquinone, quantified as fold change compared to DMSO-treated control cells, using the comparative CT method.
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Emotion Recognition - the need for a complete analysis of the phenomenon of expression formation
PublikacjaThis article shows how complex emotions are. This has been proven by the analysis of the changes that occur on the face. The authors present the problem of image analysis for the purpose of identifying emotions. In addition, they point out the importance of recording the phenomenon of the development of emotions on the human face with the use of high-speed cameras, which allows the detection of micro expression. The work that was...
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Comprehensive analysis of microRNA expression profile in malignant glioma tissues
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Transcriptomic responses to wounding: meta-analysis of gene expression microarray data
PublikacjaBackground A vast amount of microarray data on transcriptomic response to injury has been collected so far. We designed the analysis in order to identify the genes displaying significant changes in expression after wounding in different organisms and tissues. This meta-analysis is the first study to compare gene expression profiles in response to wounding in as different tissues as heart, liver, skin, bones, and spinal cord, and...
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Mathematical analysis of a generalised p53-Mdm2 protein gene expression model
PublikacjaWe propose the generalisation of the p53-Mdm2 protein gene expression model introduced by Monk (2003). We investigate the stability of a unique positive steady state and formulate conditions which guarantee the occurrence of the Hopf bifurcation. We show that oscillatory behaviour can be caused not only by time lag in protein transcription process, but also can be present in the model without time delay. Moreover, we investigate...
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Robustness of Pathway Enrichment Analysis to Transcriptome-Wide Gene Expression Platform
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Analysis of polymorphism and hepatic expression of duodenal cytochrome b in chronic hepatitis C
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Associations between heart rate asymmetry expression and asymmetric detrended fluctuation analysis results
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Transcriptomics in Toxicogenomics, Part II: Preprocessing and Differential Expression Analysis for High Quality Data
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MicroRNA expression profile analysis in human skeletal muscle tissue: Selection of critical reference
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Aquaporin 2: Identification and analysis of expression in calves’ urine during their first month of life
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Analysis of miRNA expression associated with gene Lr34 responsible for resistance mechanisms to wheat leaf rust
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Comprehensive Analysis of MILE Gene Expression Data Set Advances Discovery of Leukaemia Type and Subtype Biomarkers
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Analysis of miRNA expression associated with the Lr46 gene responsible for APR resistance in wheat (Triticum aestivum L.)
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Analysis of MDR genes expression and cross-resistance in eight drug resistant ovarian cancer cell lines
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CGB and GNRH1 expression analysis as a method of tumor cells metastatic spread detection in patients with gynecological malignances
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Microarray-based detection and expression analysis of new genes associated with drug resistance in ovarian cancer cell lines
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Analysis of expression of genes responsible for regulation of cellular proliferation and migration – microarray approach based on porcine oocyte model
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Identification of High-Risk Stage II Colorectal Tumors by Combined Analysis of the NDRG1 Gene Expression and the Depth of Tumor Invasion
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Diversity of Expression Patterns of Lr34, Lr67, and Candidate Genes towards Lr46 with Analysis of Associated miRNAs in Common Wheat Hybrids in Response to Puccinia triticina Fungus
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Integrating Statistical and Machine‐Learning Approach for Meta‐Analysis of Bisphenol A‐Exposure Datasets Reveals Effects on Mouse Gene Expression within Pathways of Apoptosis and Cell Survival
PublikacjaBisphenols are important environmental pollutants that are extensively studied due to different detrimental effects, while the molecular mechanisms behind these effects are less well understood. Like other environmental pollutants, bisphenols are being tested in various experimental models, creating large expression datasets found in open access storage. The meta‐analysis of such datasets is, however, very complicated for various...
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Analysis of cellular response induced by imidazoacridinone derivative C-1311 in Chinese hamster ovary carcinoma cells CHO with vorious expression level of cytochrome P450 reductase
PublikacjaRodzaj odpowiedzi komórkowej indukowanej przez pochodną C-1311 badany był w komórkach CHO o różnym poziomie reduktazy cytochromu P450. Wszystkie eksperymenty zostały przeprowadzone przy zastosowaniu stężenia związku odpowiadającego dawce EC80. Poziom ekspresji reduktazy cytochromu P450 nie miał istotnego wpływu na rodzaj odpowiedzi komórkowej indukowanej przez pochodną C-1311. Głównym efektem biologicznym wywieranym przez badany...
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Validation of reference genes for RT-qPCR analysis of growth hormone receptor and growth hormone expression in the tench ( Tinca tinca ) fed substituting poultry meal for fish meal
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Analysis of apolipoprotein A-IV expression and the levels of blood plasmamain lipid fractions of calves during the first week of life before and after theadministration of milk replacer supplemented with lactose
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Database of speech and facial expressions recorded with optimized face motion capture settings
PublikacjaThe broad objective of the present research is the analysis of spoken English employing a multiplicity of modalities. An important stage of this process, discussed in the paper, is creating a database of speech accompanied with facial expressions. Recordings of speakers were made using an advanced system for capturing facial muscle motion. A brief historical outline, current applications, limitations and the ways of capturing face...
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Robot Eye Perspective in Perceiving Facial Expressions in Interaction with Children with Autism
PublikacjaThe paper concerns automatic facial expression analysis applied in a study of natural “in the wild” interaction between children with autism and a social robot. The paper reports a study that analyzed the recordings captured via a camera located in the eye of a robot. Children with autism exhibit a diverse level of deficits, including ones in social interaction and emotional expression. The aim of the study was to explore the possibility...
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Intelligent video and audio applications for learning enhancement
PublikacjaThe role of computers in school education is briefly discussed. Multimodal interfaces development history is shortly reviewed. Examples of applications of multimodal interfaces for learners with special educational needs are presented, including interactive electronic whiteboard based on video image analysis, application for controlling computers with facial expression and speech stretching audio interface representing audio modality....
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Intelligent multimedia solutions supporting special education needs.
PublikacjaThe role of computers in school education is briefly discussed. Multimodal interfaces development history is shortly reviewed. Examples of applications of multimodal interfaces for learners with special educational needs are presented, including interactive electronic whiteboard based on video image analysis, application for controlling computers with facial expression and speech stretching audio interface representing audio modality....
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Facial emotion recognition using depth data
PublikacjaIn 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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Remote Estimation of Video-Based Vital Signs in Emotion Invocation Studies
PublikacjaAbstract— The goal of this study is to examine the influence of various imitated and video invoked emotions on the vital signs (respiratory and pulse rates). We also perform an analysis of the possibility to extract signals from sequences acquired with cost-effective cameras. The preliminary results show that the respiratory rate allows for better separation of some emotions than the pulse rate, yet this relation highly depends...
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Mining inconsistent emotion recognition results with the multidimensional model
PublikacjaThe paper deals with the challenge of inconsistency in multichannel emotion recognition. The focus of the paper is to explore factors that might influence the inconsistency. The paper reports an experiment that used multi-camera facial expression analysis with multiple recognition systems. The data were analyzed using a multidimensional approach and data mining techniques. The study allowed us to explore camera location, occlusions...
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An unorthodox view on the problem of tracking facial expressions
PublikacjaRecent developments in imaging cameras has opened a new way of analyzing facial expression. We would like to take advantage from this new technology and present a method of imaging and processing images of human face as a response to the particular stimuli. The response in this case is represented by the facial expressions and the stimuli are still images representing six basic emotions according to Eckmann. Working hypothesis...
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An unorthodox view on the problem of tracking facial expressions
PublikacjaRecent developments in imaging cameras has opened a new way of analyzing facial expression. We would like to take advantage from this new technology and present a method of imaging and processing images of human face as a response to the particular stimuli. The response in this case is represented by the facial expressions and the stimuli are still images representing six basic emotions according to Eckmann. Working hypothesis...
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Acquisition and indexing of RGB-D recordings for facial expressions and emotion recognition
PublikacjaIn 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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Mirosław Andrusiewicz prof. dr hab. n. med. i n. o zdr.
OsobyPosiadane dyplomy, stopnie naukowe lub artystyczne ̶ stopień doktora habilitowanego nauk medycznych (dyscyplina biologia medyczna) z dnia 4 grudnia 2017 r. Tytuł osiągnięcia naukowego: „Analiza wybranych genów związanych z przebiegiem zmian patologicznych w komórkach wywodzących się z żeńskich wewnętrznych narządów płciowych”; Uniwersytet Medyczny im. Karola Marcinkowskiego w Poznaniu, Wydział Lekarski II; recenzenci: Prof....
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Przegląd robotów humanoidalnych
PublikacjaW artykule przedstawiono przegląd najpopularniejszych robotów humanoidalnych, wyróżniając ich ważniejsze cechy i porównując podstawowe charakterystyki, biorąc przy tym pod uwagę pożądane kognitywne aspekty rozwoju robotyki. Wśród osiągalnych cech rozmaitych rozwiązań aparatów humanoidalnych dostępnych na rynku – wyróżnia się głównie liczbę stopni swobody, rodzaj zastosowanego układu lokomocji oraz możliwości wyrażania mimiki twarzy,...
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Using Physiological Signals for Emotion Recognition
PublikacjaRecognizing 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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AffecTube — Chrome extension for YouTube video affective annotations
PublikacjaThe shortage of emotion-annotated video datasets suitable for training and validating machine learning models for facial expression-based emotion recognition stems primarily from the significant effort and cost required for manual annotation. In this paper, we present AffecTube as a comprehensive solution that leverages crowdsourcing to annotate videos directly on the YouTube platform, resulting in ready-to-use emotion-annotated...
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Limitations of Emotion Recognition from Facial Expressions in e-Learning Context
PublikacjaThe paper concerns technology of automatic emotion recognition applied in e-learning environment. During a study of e-learning process the authors applied facial expressions observation via multiple video cameras. Preliminary analysis of the facial expressions using automatic emotion recognition tools revealed several unexpected results, including unavailability of recognition due to face coverage and significant inconsistency...
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PROTEIN EXPRESSION AND PURIFICATION
Czasopisma -
FEEDB: A multimodal database of facial expressions and emotions
PublikacjaIn this paper a first version of a multimodal FEEDB database of facial expressions and emotions is presented. The database contains labeled RGB-D recordings of people expressing a specific set of expressions that have been recorded using Microsoft Kinect sensor. Such a database can be used for classifier training and testing in face recognition as well as in recognition of facial expressions and human emotions. Also initial experiences...
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Real-time facial feature tracking in poor quality thermal imagery
PublikacjaRecently, facial feature tracking systems have become more and more popular because of many possible use cases. Especially in medical applications location of the face and facial features are very useful. Many researches have presented methods to detect and track facial features in visible light. However, facial feature analysis in thermography may also be very advantageous. Some examples of using infrared imagery in medicine include...