Generic system for human-computer gesture interaction: applications on sign language recognition and robotic soccer refereeing

Hand gestures are a powerful way for human communication, with lots of potential applications in the area of human computer interaction. Vision-based hand gesture recognition techniques have many proven advantages compared with traditional devices, giving users a simpler and more natural way to communicate with electronic devices. This work proposes a generic system architecture based in computer vision and machine learning, able to be used with any interface for human-computer interaction. The proposed solution is mainly composed of three modules: a pre-processing and hand segmentation module, a static gesture interface module and a dynamic gesture interface module. The experiments showed that the core of visionbased interaction systems could be the same for all applications and thus facilitate the implementation. For hand posture recognition, a SVM (Support Vector Machine) model was trained and used, able to achieve a final accuracy of 99.4%. For dynamic gestures, an HMM (Hidden Markov Model) model was trained for each gesture that the system could recognize with a final average accuracy of 93.7%. The proposed solution as the advantage of being generic enough with the trained models able to work in real-time, allowing its application in a wide range of human-machine applications. To validate the proposed framework two applications were implemented. The first one is a real-time system able to interpret the Portuguese Sign Language. The second one is an online system able to help a robotic soccer game referee judge a game in real time.

Vision-based portuguese sign language recognition system

Vision-based hand gesture recognition is an area of active current research in computer vision and machine learning. Being a natural way of human interaction, it is an area where many researchers are working on, with the goal of making human computer interaction (HCI) easier and natural, without the need for any extra devices. So, the primary goal of gesture recognition research is to create systems, which can identify specific human gestures and use them, for example, to convey information. For that, vision-based hand gesture interfaces require fast and extremely robust hand detection, and gesture recognition in real time. Hand gestures are a powerful human communication modality with lots of potential applications and in this context we have sign language recognition, the communication method of deaf people. Sign lan- guages are not standard and universal and the grammars differ from country to coun- try. In this paper, a real-time system able to interpret the Portuguese Sign Language is presented and described. Experiments showed that the system was able to reliably recognize the vowels in real-time, with an accuracy of 99.4% with one dataset of fea- tures and an accuracy of 99.6% with a second dataset of features. Although the im- plemented solution was only trained to recognize the vowels, it is easily extended to recognize the rest of the alphabet, being a solid foundation for the development of any vision-based sign language recognition user interface system.

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.

Empathy and heart rate variability: a need and a mechanism of emotion regulation

Dissertação de mestrado integrado em Psicologia

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.

Síndrome brânquio-óculo-facial (BOFS) e cardiopatias congênitas

Relatamos aqui o caso de um menino com 43 dias de vida, apresentando síndrome brânquio-óculo-facial (BOFS) e cardiopatia congênita. Na avaliação clínica, ele possuía retardo de crescimento, pregas epicânticas, fendas palpebrais pequenas, telecanto, base nasal alargada, fenda labial falsa (pseudocleft), micrognatia, orelhas displásicas e rotadas posteriormente, fendas branquiais, pescoço curto e alado, mamilo extranumerário, hipotonia e reflexos tendinosos profundos diminuídos. A ecocardiografia verificou presença de um defeito do septo atrioventricular completo do tipo A e persistência do canal arterial. Essa descrição fortalece a possibilidade de que defeitos cardíacos congênitos possam fazer parte do espectro de anormalidades observado na BOFS.

Optimising the design and manufacture of a customised, prescription fit, Maxillo-facial prosthesis

This thesis is a continuation of the Enterprise-Ireland Research Innovation Fund (RIF) Project entitled’ "Design and Manufacturing of Customised Maxillo-Facial Prostheses" The primary objective of this Internal Research Development Program (IRDP) project was to investigate two fundamental design changes 1 To incorporate the over-denture abutments directly into the implant. 2 To remove the restraining wings by the addition of screws, which affix the. implant to the dense material of the jawbone. The prosthetic was redesigned using the ANSYS Finite Element Analysis software program and analysed to* • Reduce the internal von Mises stress distribution The new prosthetic had a -63.63 % lower von Mises stress distribution when compared with the original prosthetic. • Examine the screw preload effects. A maximum relative displacement of 22 6 * lO^mm between the bone and screw was determined, which is well below the critical threshold of micromotion which prevents osseointegration • Investigate the prosthetic-bone contact interface. Three models of the screw, prosthesis, and bone, were studied. (Axisymmetnc, quarter volume, and full volume), a recommended preload torque of 0 32 Nm was applied to the prosthetic and a maximum von Mises stress of 1.988 MPa was predicted • Study the overdenture removal forces. This analysis could not be completed because the correct plastic multilinear properties of the denture material could not be established The redesigned prosthetic was successfully manufactured on a 3-axis milling machine with an indexing system The prosthetic was examined for dimensional quality and strength The research established the feasibility of the new design and associated manufacturing method.

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.

Pressão expiratória positiva na via aérea por máscara facial na hemodinâmica de pós-operatórios cardíacos

FUNDAMENTOS: A pressão expiratória positiva na via aérea por máscara facial (EPAP) é utilizada no pós-operatório de cirurgias cardíacas, entretanto, seus efeitos hemodinâmicos não foram claramente estudados. OBJETIVO: Avaliar as alterações hemodinâmicas causadas pela EPAP em pacientes pós-cirurgia cardíaca monitorados por cateter de Swan-Ganz. MÉTODOS: Foram incluídos no estudo, pacientes no primeiro ou segundo pós-operatório de cirurgia cardíaca, estáveis hemodinamicamente e com cateter de Swan-Ganz. Eles foram avaliados em repouso e após o uso de 10 cmH2O de EPAP, de forma randomizada. As variáveis estudadas foram: saturação de oxigênio, frequências cardíaca e respiratória, pressões arteriais médias sistêmica e pulmonar (PAM e PAMP), pressões venosa central (PVC) e de oclusão da atéria pulmonar (POAP), débito e índice cardíacos, e resistências vasculares sistêmica e pulmonar. Os pacientes foram divididos em subgrupos (com fração de ejeção <; 50% ou > 50%) e os dados foram comparados por teste t e ANOVA. RESULTADOS: Vinte e oito pacientes foram estudados (22 homens, idade média 68 ± 11 anos). Comparando o período de repouso versus EPAP, as alterações observadas foram: POAP (11,9 ± 3,8 para 17,1 ± 4,9 mmHg, p < 0,001); PVC (8,7 ± 4,1 para 10,9 ± 4,3 mmHg, p = 0,014); PAMP (21,5 ± 4,2 para 26,5 ± 5,8 mmHg, p < 0,001); PAM (76 ± 10 para 80 ± 10 mmHg, p = 0,035). As demais variáveis não mostraram diferenças significativas. CONCLUSÃO: A EPAP foi bem tolerada nos pacientes e as alterações hemodinâmicas encontradas mostraram aumento nas medidas de pressão de enchimento ventricular direito e esquerdo, assim como, na pressão arterial média.

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