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Wyniki wyszukiwania dla: patter recognition
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Voice command recognition using hybrid genetic algorithm
PublikacjaAbstract: Speech recognition is a process of converting the acoustic signal into a set of words, whereas voice command recognition consists in the correct identification of voice commands, usually single words. Voice command recognition systems are widely used in the military, control systems, electronic devices, such as cellular phones, or by people with disabilities (e.g., for controlling a wheelchair or operating a computer...
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Audiovisual speech recognition for training hearing impaired patients
PublikacjaPraca przedstawia system rozpoznawania izolowanych głosek mowy wykorzystujący dane wizualne i akustyczne. Modele Active Shape Models zostały wykorzystane do wyznaczania parametrów wizualnych na podstawie analizy kształtu i ruchu ust w nagraniach wideo. Parametry akustyczne bazują na współczynnikach melcepstralnych. Sieć neuronowa została użyta do rozpoznawania wymawianych głosek na podstawie wektora cech zawierającego oba typy...
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Music Genre Recognition in the Rough Set-Based Environment
PublikacjaThe aim of this paper is to investigate music genre recognition in the rough set-based environment. Experiments involve a parameterized music data-base containing 1100 music excerpts. The database is divided into 11 classes cor-responding to music genres. Tests are conducted using the Rough Set Exploration System (RSES), a toolset for analyzing data with the use of methods based on the rough set theory. Classification effectiveness...
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Examining Influence of Distance to Microphone on Accuracy of Speech Recognition
PublikacjaThe problem of controlling a machine by the distant-talking speaker without a necessity of handheld or body-worn equipment usage is considered. A laboratory setup is introduced for examination of performance of the developed automatic speech recognition system fed by direct and by distant speech acquired by microphones placed at three different distances from the speaker (0.5 m to 1.5 m). For feature extraction from the voice signal...
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AN ALGORITHM FOR PORTAL HYPERTENSIVE GASTROPATHY RECOGNITION ON THE ENDOSCOPIC RECORDINGS
PublikacjaSymptoms recognition of portal hypertensive gastropathy (PHG) can be done by analysing endoscopic recordings, but manual analysis done by physician may take a long time. This increases probability of missing some symptoms and automated methods may be applied to prevent that. In this paper a novel hybrid algorithm for recognition of early stage of portal hypertensive gastropathy is proposed. First image preprocessing is described....
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Molecular Recognition in Complexes of TRF Proteins with Telomeric DNA
PublikacjaTelomeres are specialized nucleoprotein assemblies that protect the ends of linear chromosomes. In humans and many other species, telomeres consist of tandem TTAGGG repeats bound by a protein complex known as shelterin that remodels telomeric DNA into a protective loop structure and regulates telomere homeostasis. Shelterin recognizes telomeric repeats through its two major components known as Telomere Repeat-Binding Factors, TRF1...
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Visual Lip Contour Detection for the Purpose of Speech Recognition
PublikacjaA method for visual detection of lip contours in frontal recordings of speakers is described and evaluated. The purpose of the method is to facilitate speech recognition with visual features extracted from a mouth region. Different Active Appearance Models are employed for finding lips in video frames and for lip shape and texture statistical description. Search initialization procedure is proposed and error measure values are...
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Recognition of input items to the logistic operations in accommodation services
PublikacjaIn this study the authors set themselves the aim to analyze the elements of the entrance to the accommodation services in terms of logistics. Therefore, providers of this type of services were examined. This allowed to carry out analyses also with including the variety of accommodation services
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On practical application of Shannon theory to character recognition and more
PublikacjaLet us consider an optical character recognition system, which in particular can be used for identifying objects that were assigned strings of some length. The system is not perfect, for example, it sometimes recognizes wrongly the characters "Y" and "V". What is the largest set of strings of given length for the system under consideration, which can be mutually correctly recognized, and the corresponding objects correctly identified?...
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An audio-visual corpus for multimodal automatic speech recognition
Publikacjareview of available audio-visual speech corpora and a description of a new multimodal corpus of English speech recordings is provided. The new corpus containing 31 hours of recordings was created specifically to assist audio-visual speech recognition systems (AVSR) development. The database related to the corpus includes high-resolution, high-framerate stereoscopic video streams from RGB cameras, depth imaging stream utilizing Time-of-Flight...
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A comparative study of English viseme recognition methods and algorithm
PublikacjaAn elementary visual unit – the viseme is concerned in the paper in the context of preparing the feature vector as a main visual input component of Audio-Visual Speech Recognition systems. The aim of the presented research is a review of various approaches to the problem, the implementation of algorithms proposed in the literature and a comparative research on their effectiveness. In the course of the study an optimal feature vector...
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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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Digits Recognition with Quadrant Photodiode and Convolutional Neural Network
PublikacjaIn this paper we have investigated the capabilities of a quadrant photodiode based gesture sensor in the recognition of digits drawn in the air. The sensor consisting of 4 active elements, 4 LEDs and a pinhole was considered as input interface for both discrete and continuous gestures. Index finger and a round pointer were used as navigating mediums for the sensor. Experiments performed with 5 volunteers...
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Comparison of edge detection algorithms for electric wire recognition
PublikacjaEdge detection is the preliminary step in image processing for object detection and recognition procedure. It allows to remove useless information and reduce amount of data before further analysis. The paper contains the comparison of edge detection algorithms optimized for detection of horizontal edges. For comparison purposes the algorithms were implemented in the developed application dedicated to detection of electric line...
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A comparative study of English viseme recognition methods and algorithms
PublikacjaAn elementary visual unit – the viseme is concerned in the paper in the context of preparing the feature vector as a main visual input component of Audio-Visual Speech Recognition systems. The aim of the presented research is a review of various approaches to the problem, the implementation of algorithms proposed in the literature and a comparative research on their effectiveness. In the course of the study an optimal feature vector construction...
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Robust and Efficient Machine Learning Algorithms for Visual Recognition
PublikacjaIn visual recognition, the task is to identify and localize all objects of interest in the input image. With the ubiquitous presence of visual data in modern days, the role of object recognition algorithms is becoming more significant than ever and ranges from autonomous driving to computer-aided diagnosis in medicine. Current models for visual recognition are dominated by models based on Convolutional Neural Networks (CNNs), which...
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Graph Representation Integrating Signals for Emotion Recognition and Analysis
PublikacjaData reusability is an important feature of current research, just in every field of science. Modern research in Affective Computing, often rely on datasets containing experiments-originated data such as biosignals, video clips, or images. Moreover, conducting experiments with a vast number of participants to build datasets for Affective Computing research is time-consuming and expensive. Therefore, it is extremely important to...
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Buzz-based recognition of the honeybee colony circadian rhythm
PublikacjaHoneybees are one of the highly valued pollinators. Their work as individuals is appreciated for crops pollination and honey production. It is believed that work of an entire bee colony is intense and almost continuous. The goal of the work presented in this paper is identification of bees circadian rhythm with a use of sound-based analysis. In our research as a source of information on bee colony we use their buzz that have been...
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Communication and Cognition
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Visual Cognition
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Cognition and Instruction
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Cognition and Emotion
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Pragmatics & Cognition
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BRAIN AND COGNITION
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Language and Cognition
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Journal of Cognition
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Animal Cognition
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Memory & Cognition
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Social Cognition
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Ionophores in polymeric membranes for selective ion recognition; impedance studies
PublikacjaBadania impedancyjne membran zawierających jonofory selektywne na kation Na+ (L1) i Cs+(L2) wykazały, ze stala dielektryczna materiału membrany zależy od typu uzytego plastyfikatora i zmienia się w zakresie od 28 do 60. Rezystancja membran zawierających ligand L1 i L2 wynosi 0.15 -1.4 Mohm w zależności od stężenia elektrolitu zewnnetrznego. Testowona dwa typy elektrod jonoselektywnych: elektrody typu ASS z polimerem przewodzącym...
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Cationic or anionic surfactant oscillators for molecular recognition of taste substances
PublikacjaOtrzymano krzywe oscylacyjne róznicy potencjału elektrochemicznego miedzy fazami wodnymi oscylatora zawierajacego jonowy surfanktant. Były one analizowane poprzez konsrukcje portretów fazowych uzywając metody opóźnienia czasowego. Kształt portertów fazowych jest rożny dla układów z kationowym lub anionowym surfanktantem. Szeregi wzrostu powierzchni atraktorów dla tych dwoch oscylatorów sa także rózne.
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Oscillators with anionic surfactants as systems for molecular recognition of taste substances
PublikacjaZaprezentowano, charakterystyki oscylacyjne układów trojfazowych, ktore mogą byc uzyte do rozpoznawania substancji smakowych. Zaobserwowano, że zmiany osylacyjne róznicy potencjału elektrycznego miedzy fazami wodnymi zależą od rodzaju substancji smakowej obecnej w układzie. Ich rózne wartosci poczatkowe są ważną cechą z punktu mozliwości zastosowania tych układów w sensorach smaku. Dla kazdego układu wyznaczono portrety fazowe...
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Soft computing based automatic recognition of musical instrument classes.
PublikacjaW artykule przedstawiono wyniki eksperymentów dotyczących automatycznego rozpoznawania klas instrumentów muzycznych. Proces klasyfikacji zrealizowano w oparciu o sztuczne sieci neuronowe, zaś wektor cch został oparty o parametry obliczane w wyniku analizy falkowej dźwięków instrumentów muzycznych.
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A Method and Device for 3D Recognition of Cutting Edge Micro Geometry
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Automatic singing quality recognition employing artificial neural networks
PublikacjaCelem artykułu jest udowodnienie możliwości automatycznej oceny jakości technicznej głosów śpiewaczych. Pokrótce zaprezentowano w nim stworzoną bazę danych głosów śpiewaczych oraz zaimplementowane parametry. Przy pomocy sztucznych sieci neuronowych zaprojektowano system decyzyjny, który oceniono w pięciostopniowej skali jakość techniczną głosu. Przy pomocy metod statystycznych udowodniono, że wyniki generowane przez ten system...
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Accelerometer signal pre-processing influence on human activity recognition
PublikacjaA study of data pre-processing influence on accelerometer-based human activity recognition algorithms is presented. The frequency band used to filter-out the accelerometer signals and the number of accelerometers involved were considered in terms of their influence on the recognition accuracy.
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Lip movement and gesture recognition for a multimodal human-computer interface
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Hand gesture recognition supported by fuzzy rules and Kalman filters
PublikacjaThe paper presents a system based on camera and multimediaprojector enabling a user to control computer applications by dynamic hand gestures. Gesture recognition methodology based on representing hand movement trajectory by motion vectors analysed using fuzzy rule-based inference is first given. For effective hand position tracking Kalman filters are employed. The system engineered is developed using J2SE and C++/OpenCV technology....
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Preliminary Study on Automatic Recognition of Spatial Expressions in Polish Texts
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Gesture Recognition With the Linear Optical Sensor and Recurrent Neural Networks
PublikacjaIn this paper, the optical linear sensor, a representative of low-resolution sensors, was investigated in the multiclass recognition of near-field hand gestures. The recurrent neural network (RNN) with a gated recurrent unit (GRU) memory cell was utilized as a gestures classifier. A set of 27 gestures was collected from a group of volunteers. The 27 000 sequences obtained were divided into training, validation, and test subsets....
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Auditory-model based robust feature selection for speech recognition
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Blur recognition using second fundamental form of image surface
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Automatic Singing Voice Recognition EmployingNeural Networks and Rough Sets
PublikacjaCelem badań jest automatyczne rozpoznawanie głosów śpiewaczych w kategorii rodzaju i jakości technicznej śpiewu. W artykule opisano stworzoną bazę danych głosów, która zawiera próbki głosu śpiewaków profesjonalnych i amatorskich. W dalszej części opisano parametry zdefiniowane w oparciu o zjawiska biomechaniczne w narządzie głosu podczas śpiewania. W oparciu o stworzone macierze parametrów wytrenowano i porównano automatyczne klasyfikatory...
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Poll Reader - the working prototype of optical mark recognition software
PublikacjaAutomatyczne rozpoznawanie zaznaczeń wydaje się stosunkowo prostym zadaniem z dziedziny przetwarzania dokumentów, a komercyjne systemy OMR są dostępne na rynku już od dłuższego czasu. Zdecydowaliśmy się jednak na stworzenie prostego darmowego oprogramowania, które mogłoby być wykorzystywane przez uczelnie zobowiązane do przeprowadzania ankiet wśród studentów. W rozdziale opisano konstrukcję programu oraz najważniejsze algorytmy...
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Face recognition by humans with gaze-tracking system Cyber-Eye
PublikacjaW celu dokładniejszego zrozumienia sposobu rozpoznawania i zapamiętywania twarzy przez człowieka przeprowadzono doświadczenie na grupie 20 osób z wykorzystaniem wcześniej opracowanego systemu śledzenia fiksacji wzroku Cyber-Oko [3]. Wykorzystując diody i kamerę podczerwieni wraz z dedykowanym oprogramowaniem Cyber-Oko, które pozwala na śledzenie punktu skupienia wzroku na ekranie. Każdej osobie biorącej udział w doświadczeniu pokazano...
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Recognition of social health: A conceptual framework in the context of dementia research
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Limitations of Emotion Recognition in Software User Experience Evaluation Context
PublikacjaThis paper concerns how an affective-behavioural- cognitive approach applies to the evaluation of the software user experience. Although it may seem that affect recognition solutions are accurate in determining the user experience, there are several challenges in practice. This paper aims to explore the limitations of the automatic affect recognition applied in the usability context as well as...
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Accelerometer-based Human Activity Recognition and the Impact of the Sample Size
PublikacjaThe presented study focused on the recognition of eight user activities (e.g. walking, lying, climbing stairs) basing on the measurements from an accelerometer embedded in a mobile device. It is assumed that the device is carried in a specific location of the user’s clothing. Three types of classifiers were tested on different sizes of the samples. The influence of the time window (the duration of a single trial) on selected activities...
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A Method and Device for 3D Recognition of Cutting Edge Micro Geometry
PublikacjaA very useful method was successfully applied in the investigation of tools for machining wood and wood based composites. It allows scanning of the cutting edge micro geometry in three dimensions and reproducing it in a virtual space as a 3D surface. The application of the method opens new possibilities of studying tool wear by scanning, including the calculation of volume loss and other analysis of tool wedge geometry along and...
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Pose classification in the gesture recognition using the linear optical sensor
PublikacjaGesture sensors for mobile devices, which have a capability of distinguishing hand poses, require efficient and accurate classifiers in order to recognize gestures based on the sequences of primitives. Two methods of poses recognition for the optical linear sensor were proposed and validated. The Gaussian distribution fitting and Artificial Neural Network based methods represent two kinds of classification approaches. Three types...