An integrated system for human action recognition from video using hidden Markov model

In this paper, we present an integrated system for real-time automatic detection of human actions from video. The proposed approach uses the boundary of humans as the main feature for recognizing actions. Background subtraction is performed using Gaussian mixture model. Then, features are extracted from silhouettes and Vector Quantization is used to map features into symbols (bag of words approach). Finally, actions are detected using the Hidden Markov Model. The proposed system was validated using a newly collected real- world dataset. The obtained results show that the system is capable of achieving robust human detection, in both indoor and outdoor environments. Moreover, promising classification results were achieved when detecting two basic human actions: walking and sitting.

Enrollment time as a requirement for biometric hand recognition systems

Biometric systems are increasingly being used as a means for authentication to provide system security in modern technologies. The performance of a biometric system depends on the accuracy, the processing speed, the template size, and the time necessary for enrollment. While much research has focused on the first three factors, enrollment time has not received as much attention. In this work, we present the findings of our research focused upon studying user’s behavior when enrolling in a biometric system. Specifically, we collected information about the user’s availability for enrollment in respect to the hand recognition systems (e.g., hand geometry, palm geometry or any other requiring positioning the hand on an optical scanner). A sample of 19 participants, chosen randomly apart their age, gender, profession and nationality, were used as test subjects in an experiment to study the patience of users enrolling in a biometric hand recognition system.

Forecasting human entrances at a commercial store using facial recognition data

Dissertação de mestrado integrado em Engenharia e Gestão de Sistemas de Informação

Hand gesture recognition system based in computer vision and machine learning: Applications on human-machine interaction

Tese de Doutoramento em Engenharia de Eletrónica e de Computadores

Electronic tongue: a versatile tool for mineral and fruit-flavored waters recognition

Natural mineral waters (still), effervescent natural mineral waters (sparkling) and aromatized waters with fruit-flavors (still or sparkling) are an emerging market. In this work, the capability of a potentiometric electronic tongue, comprised with lipid polymeric membranes, to quantitatively estimate routinely quality physicochemical parameters (pH and conductivity) as well as to qualitatively classify water samples according to the type of water was evaluated. The study showed that a linear discriminant model, based on 21 sensors selected by the simulated annealing algorithm, could correctly classify 100 % of the water samples (leave-one out cross-validation). This potential was further demonstrated by applying a repeated K-fold cross-validation (guaranteeing that at least 15 % of independent samples were only used for internal-validation) for which 96 % of correct classifications were attained. The satisfactory recognition performance of the E-tongue could be attributed to the pH, conductivity, sugars and organic acids contents of the studied waters, which turned out in significant differences of sweetness perception indexes and total acid flavor. Moreover, the E-tongue combined with multivariate linear regression models, based on sub-sets of sensors selected by the simulated annealing algorithm, could accurately estimate waters pH (25 sensors: R 2 equal to 0.99 and 0.97 for leave-one-out or repeated K-folds cross-validation) and conductivity (23 sensors: R 2 equal to 0.997 and 0.99 for leave-one-out or repeated K-folds cross-validation). So, the overall satisfactory results achieved, allow envisaging a potential future application of electronic tongue devices for bottled water analysis and classification.

Apoptosis y expresión de receptores de reconocimiento de patrones en Polimorfonucleares Neutrófilos de individuos con infección VIH/SIDA. Apoptosis and recognition patterns receptors expression in Polymorphonuclear Neutrophils of individuals with HIV/AIDS infection.

El Virus de la Inmunodeficiencia Humana tipo 1 (VIH-1) afecta principalmente a la respuesta inmune específica causando una pérdida progresiva de los linfocitos T CD4+. Sin embargo, este virus también afecta a células del sistema inmune innato, tales como los Polimorfonucleares Neutrófilos (PMN). Existen evidencias de alteraciones funcionales de los PMN durante la progresión de la infección por VIH y una de las explicaciones de estos defectos, la atribuye a una muerte celular programada o apoptosis constitutiva incrementada. El compromiso de la apoptosis de los PMN en la infección por VIH no está totalmente dilucidado, por ello, los objetivos de este proyecto son investigar el efecto de la infección por VIH sobre la apoptosis de PMN, analizar la expresión de moléculas y receptores de patrones de reconocimiento en estas células y evaluar el impacto de la terapia antirretroviral sobre la apoptosis y expresión de moléculas y receptores en PMN. Se incluirán individuos en distintos estadios clínicos e inmunológicos de la infección con o sin tratamiento antirretroviral y se determinarán parámetros hematológicos, inmunológicos y virológicos a fin de correlacionar el nivel de apoptosis y expresión de moléculas y receptores con el nivel de linfocitos T CD4+ y carga viral. La importancia de los PMN en el control de la infección por el VIH es actualmente un área de mucho interés, ya pueden ejercer un efecto anti-VIH directo, y al mismo tiempo, ser blancos de la infección viral. Los mecanismos que conducen a la muerte acelerada de los PMN no han sido totalmente dilucidados, por ello, su estudio permitirá entender las bases bioquímicas de los cambios morfológicos y determinar los mecanismos que definen su iniciación y regulación. En el presente proyecto, el estudio de la apoptosis de PMN de pacientes con infección VIH/SIDA posibilitará caracterizar la sobrevida de éstas células y su relación con el estado inmunológico, virológico y la terapia antirretroviral. Además, el estudio de los receptores reconocedores de patrones moleculares asociados a patógenos permitirá aclarar algunos aspectos de la activación de la respuesta inmune innata y su conexión con la inmunidad adaptativa. Comprender aspectos claves de la cascada de la apoptosis de PMN y de la expresión de receptores reconocedores de patrones moleculares en la infección VIH/SIDA podría en un futuro aportar posibles blancos terapéuticos para restaurar la función de estas células durante esta infección.

Disposición plasmática y residuos tisulares de marbofloxacina en truchas arco iris (oncorhynchus mykiss) en condiciones estivales e invernales. Plasmatic disposition and tissue residues of marbofloxacin in rainbow trouts (oncorhynchus mykiss) in summer and winter conditions

Los sistemas intensivos de producción, predisponen en los peces a la presentación de diversas enfermedades, lo que demanda el empleo de antimicrobianos para mantener la salud de los lotes de cultivo. En tal sentido es importante contar con información local en cuanto al comportamiento cinético a los efectos de determinar una adecuada dosificación de los antimicrobianos empleados y con esta información, establecer los periodos de resguardo necesarios para evitar la presencia violativa de estos fármacos en el animal destinado a consumo humano. En el presente proyecto se propone efectuar un estudio farmacocinético de concentraciones plasmáticas y tisulares alcanzadas y establecer los periodos de resguardo para marbofloxacina, antimicrobiano del cual no se tienen antecedentes regionales en cuanto a su disposición a diferentes temperaturas como las que condicionan las estaciones de verano e invierno, de marcada variación en la provincia, modificando la actividad metabólica de los peces. La concreción de este proyecto permitirá entregar conocimientos concretos y de aplicación directa en la cría intensiva de la trucha arco iris (Oncorhynchus mykiss) en diferentes condiciones ambientales, al contarse con la información necesaria para una adecuada dosificación y periodos de resguardo necesarios para evitar el residuo de este fármaco. Además, permitirá consolidar una línea de investigación dentro de la acuicultura muy poco desarrollada actualmente en el país. Intensive production systems predispose fishes to diverse diseases, which demands antimicrobial use for health maintenance in the lots of culture. In such sense it is important to have local information of the kinetic behavior to determine a suitable dosing of the antimicrobials employed, and on this information, to establish withdrawal periods to avoid the violative presence of these drugs in animals for human consumption. The present project will carry out a pharmacokinetic study of plasmatic and tissue concentrations to establish the withdrawal period for marbofloxacin, being known that temperature, modify the metabolic activity of the fish, and there are no local antecedents of disposition at different temperatures in summer and winter for this antimicrobial. The concretion of this project will allow to give concrete knowledge of direct application in intensive production of rainbow trout (Oncorhynchus mykiss), in different environmental conditions, counting with the necessary information for a suitable dosification and withdrawal periods to avoid residues of this drug. In addition, it will allow to consolidate an investigation line in acuiculture, not much developed in our country.

Development of a semi-automatic self learning pattern recognition system for the control of electronic boards

This project was funded under the Applied Research Grants Scheme administered by Enterprise Ireland. The project was a partnership between Galway - Mayo Institute of Technology and an industrial company, Tyco/Mallinckrodt Galway. The project aimed to develop a semi - automatic, self - learning pattern recognition system capable of detecting defects on the printed circuits boards such as component vacancy, component misalignment, component orientation, component error, and component weld. The research was conducted in three directions: image acquisition, image filtering/recognition and software development. Image acquisition studied the process of forming and digitizing images and some fundamental aspects regarding the human visual perception. The importance of choosing the right camera and illumination system for a certain type of problem has been highlighted. Probably the most important step towards image recognition is image filtering, The filters are used to correct and enhance images in order to prepare them for recognition. Convolution, histogram equalisation, filters based on Boolean mathematics, noise reduction, edge detection, geometrical filters, cross-correlation filters and image compression are some examples of the filters that have been studied and successfully implemented in the software application. The software application developed during the research is customized in order to meet the requirements of the industrial partner. The application is able to analyze pictures, perform the filtering, build libraries, process images and generate log files. It incorporates most of the filters studied and together with the illumination system and the camera it provides a fully integrated framework able to analyze defects on printed circuit boards.

Emotion recognition within spoken dialog systems

Magdeburg, Univ., Fak. für Elektrotechnik und Informationstechnik, Diss., 2011

Neural mechanisms for fast recognition of auditory emotion

Emotion, audition, event-related potentials, MMN, multidimensional scaling, timbre, perception

Estimation of nonparametric probability density functions with applications to automatic speech recognition

Magdeburg, Univ., Fak. für Elektrotechnik und Informationstechnik, Diss., 2007

Forearm surface EMG signals recognition and muscoloskeletal system dynamics identification using intelligent computational methods

Biosignals processing, Biological Nonlinear and time-varying systems identification, Electomyograph signals recognition, Pattern classification, Fuzzy logic and neural networks methods

Discriminative classifiers for speaker recognition

Speaker Recognition, Speaker Verification, Sparse Kernel Logistic Regression, Support Vector Machine

Hand gesture spotting and recognition using HMMs and CRFs in color image sequences

Magdeburg, Univ., Fak. für Elektrotechnik und Informationstechnik, Diss., 2010

Vision-based representation and recognition of human activities in image sequences

Magdeburg, Univ., Fak. für Elektrotechnik und Informationstechnik, Diss., 2013