Human activity recognition with accelerometry: novel time and frequency features

Human Activity Recognition systems require objective and reliable methods that can be used in the daily routine and must offer consistent results according with the performed activities. These systems are under development and offer objective and personalized support for several applications such as the healthcare area. This thesis aims to create a framework for human activities recognition based on accelerometry signals. Some new features and techniques inspired in the audio recognition methodology are introduced in this work, namely Log Scale Power Bandwidth and the Markov Models application. The Forward Feature Selection was adopted as the feature selection algorithm in order to improve the clustering performances and limit the computational demands. This method selects the most suitable set of features for activities recognition in accelerometry from a 423th dimensional feature vector. Several Machine Learning algorithms were applied to the used accelerometry databases – FCHA and PAMAP databases - and these showed promising results in activities recognition. The developed algorithm set constitutes a mighty contribution for the development of reliable evaluation methods of movement disorders for diagnosis and treatment applications.

Hand gesture recognition system based in computer vision and machine learning

"Lecture notes in computational vision and biomechanics series, ISSN 2212-9391, vol. 19"

Automatic eye blink detection using consumer web cameras

This research aims to advance blinking detection in the context of work activity. Rather than patients having to attend a clinic, blinking videos can be acquired in a work environment, and further automatically analyzed. Therefore, this paper presents a methodology to perform the automatic detection of eye blink using consumer videos acquired with low-cost web cameras. This methodology includes the detection of the face and eyes of the recorded person, and then it analyzes the low-level features of the eye region to create a quantitative vector. Finally, this vector is classified into one of the two categories considered —open and closed eyes— by using machine learning algorithms. The effectiveness of the proposed methodology was demonstrated since it provides unbiased results with classification errors under 5%

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

The Changing Face of the Epidemiology of Tuberculosis due to Molecular Strain Typing: A Review

About one third of the world population is infected with tubercle bacilli, causing eight million new cases of tuberculosis (TB) and three million deaths each year. After years of lack of interest in the disease, World Health Organization recently declared TB a global emergency and it is clear that there is need for more efficient national TB programs and newly defined research priorities. A more complete epidemiology of tuberculosis will lead to a better identification of index cases and to a more efficient treatment of the disease. Recently, new molecular tools became available for the identification of strains of Mycobacterium tuberculosis (M. tuberculosis), allowing a better recognition of transmission routes of defined strains. Both a standardized restriction-fragment-length-polymorphism-based methodology for epidemiological studies on a large scale and deoxyribonucleic acids (DNA) amplification-based methods that allow rapid detection of outbreaks with multidrug-resistant (MDR) strains, often characterized by high mortality rates, have been developed. This review comments on the existing methods of DNA-based recognition of M. tuberculosis strains and their peculiarities. It also summarizes literature data on the application of molecular fingerprinting for detection of outbreaks of M. tuberculosis, for identification of index cases, for study of interaction between TB and infection with the human immunodeficiency virus, for analysis of the behavior of MDR strains, for a better understanding of risk factors for transmission of TB within communities and for population-based studies of TB transmission within and between countries

Machine learning algorithms for spatial data. Case studies: Environmental pollution, natural hazards, renewable resources

This paper presents general problems and approaches for the spatial data analysis using machine learning algorithms. Machine learning is a very powerful approach to adaptive data analysis, modelling and visualisation. The key feature of the machine learning algorithms is that they learn from empirical data and can be used in cases when the modelled environmental phenomena are hidden, nonlinear, noisy and highly variable in space and in time. Most of the machines learning algorithms are universal and adaptive modelling tools developed to solve basic problems of learning from data: classification/pattern recognition, regression/mapping and probability density modelling. In the present report some of the widely used machine learning algorithms, namely artificial neural networks (ANN) of different architectures and Support Vector Machines (SVM), are adapted to the problems of the analysis and modelling of geo-spatial data. Machine learning algorithms have an important advantage over traditional models of spatial statistics when problems are considered in a high dimensional geo-feature spaces, when the dimension of space exceeds 5. Such features are usually generated, for example, from digital elevation models, remote sensing images, etc. An important extension of models concerns considering of real space constrains like geomorphology, networks, and other natural structures. Recent developments in semi-supervised learning can improve modelling of environmental phenomena taking into account on geo-manifolds. An important part of the study deals with the analysis of relevant variables and models' inputs. This problem is approached by using different feature selection/feature extraction nonlinear tools. To demonstrate the application of machine learning algorithms several interesting case studies are considered: digital soil mapping using SVM, automatic mapping of soil and water system pollution using ANN; natural hazards risk analysis (avalanches, landslides), assessments of renewable resources (wind fields) with SVM and ANN models, etc. The dimensionality of spaces considered varies from 2 to more than 30. Figures 1, 2, 3 demonstrate some results of the studies and their outputs. Finally, the results of environmental mapping are discussed and compared with traditional models of geostatistics.

Characterization of the immunological properties of " Plasmodium falciparum " and " Plasmodium berghei " circumsporozoite proteins : antibody responses and recognition by specific CD8+ T cells

SUMMARY Interest in developing intervention strategies against malaria by targeting the liver stage of the Plasmodium life cycle has been fueled by studies which show that sterile protective immunity can be achieved by immunization with radiation-attenuated sporozoites. Anti-malarial drugs and insecticides have been widely used to control the disease, but in the hope of developing a more cost-effective intervention strategy, vaccine development has taken centre stage in malaria research. There is currently no vaccine against malaria. Attenuated sporozoite-induced immunity is achieved by antibodies and T cells against malaria liver stage antigens, the most abundant being the circumsporozoite protein (CSP), and many vaccine formulations aim at mimicking this immunity. However, the mechanisms by which the antibody and T cell immune responses are generated after infection by sporozoites, or after immunization with different vaccine formulations are still not well understood. The first part of this work aimed at determining the ability of primary hepatocytes from BALB/c mice to process and present CSP-derived peptides after infection with P. berghei sporozoites. Both infected hepatocytes and those traversed by sporozoites during migration were found to be capable of processing and presenting the CSP to specific CD8+ T cells in vitro. The pathway of processing and presentation involved the proteasome, aspartic proteases and transport through a post-Endoplasmic Reticulum (ER) compartment. These results suggest that in vivo, infected hepatocytes contribute to the elicitation and expansion of a T cell response. In the second part, the antibody responses of CB6F1 mice to synthetic peptides corresponding to the N- and C-terminal domains of P. berghei and P. falciparum CS proteins were characterized. Mice were immunized with single peptides or a combination of N- and C-terminal peptides. The peptides were immunogenic in mice and the antisera generated could recognize the native CSP on the sporozoite surface. Antisera generated against the N-terminal peptides or against the combinations inhibited sporozoite invasion of hepatocytes in vitro. In vivo, more mice immunized with single P. berghei peptides were protected from infection upon a challenge with P. berghei sporozoites, than mice immunized with a combination of N- and C-terminal peptides. Furthermore, P. falciparum N-terminal peptides were recognized by serum samples from people living in malaria-endemic areas. Importantly, recognition of a peptide from the N-terminal fragment of the P. falciparum CSP by sera from children living in a malaria-endemic region was associated with protection from disease. These results underline the potential of using such peptides as malaria vaccine candidates. RESUME L'intérêt de développer des stratégies d'intervention contre la malaria ciblant le stade pré-erythrocytaire a été alimenté par des études qui montrent qu'il est possible d'obtenir une immunité par l'injection de sporozoites irradiés. Les médicaments et les insecticides anti-paludiques ont été largement utilisés pour contrôler la maladie, mais dans l'espoir de développer une stratégie d'intervention plus rentable, le développement de vaccins a été placé au centre des recherches actuelles contre la malaria. A l'heure actuelle, il n'existe aucun vaccin contre la malaria. L'immunité induite par les sporozoites irradiés est due à l'effet combiné d'anticorps et de cellules T qui agissent contre les antigènes du stade hépatique dont le plus abondant est la protéine circumsporozoite (CSP). Beaucoup de formulations de vaccin visent à imiter l'immunité induite par les sporozoites irradiés. Cependant, les mécanismes par lesquels les anticorps et les cellules T sont génerés après infection par les sporozoites ou après immunisation avec des formulations de vaccin ne sont pas bien compris. La première partie de ce travail a visé à déterminer la capacité de hépatocytes primaires provenant de souris BALB/c à "processer" et à présenter des peptides dérivés de la CSP, après infection par des sporozoites de Plasmodium berghei. Nous avons montré que in vitro, les hépatocytes infectés et ceux traversés par les sporozoites pendant leur migration étaient capables de "processer" et de présenter la CSP aux cellules T CD8+ spécifiques. La voie de présentation implique le protéasome, les protéases de type aspartique et le transport à travers un compartiment post-reticulum endoplasmique. Ces résultats suggèrent que in vivo, les hépatocytes infectés contribuent à l'induction et à l'expansion d'une réponse immunitaire spécifique aux cellules T. Dans la deuxième partie, nous avons caractérisé les réponses anticorps chez les souris de la souche CB6F1 face aux peptides N- et C-terminaux des protéines circumsporozoites de Plasmodium berghei et Plasmodium falciparum. Les souris ont été immunisées avec les peptides individuellement ou en combinaison. Les peptides utilisés étaient immunogéniques chez les souris, et les anticorps produits pouvaient reconnaître la protéine CSP native à la surface des sporozoites. In vitro, les sera contre les peptides N-teminaux et les combinaisons étaient capables d'inhiber l'invasion de hépatocytes par les sporozoites. In vivo, plus de souris immunisées avec les peptides individuels de la CSP de P. berghei étaient protégées contre la malaria que les souris immunisées avec une combinaison de peptides N- et C-terminaux. De plus, les peptides N-terminaux de la CSP de P. falciparum ont été reconnus par les sera de personnes vivant dans des régions endémiques pour la malaria. Il est intéressant de voir que la reconnaissance d'un peptide N-terminal de P. falciparum par des sera d'enfants habitant dans des régions endémiques était associé à la protection contre la maladie. Ces résultats soulignent le potentiel de ces peptides comme candidats-vaccin contre la malaria.

New perspectives in the use of ink evidence in forensic science: Part II. Development and testing of mathematical algorithms for the automatic comparison of ink samples analysed by HPTLC

In the first part of this research, three stages were stated for a program to increase the information extracted from ink evidence and maximise its usefulness to the criminal and civil justice system. These stages are (a) develop a standard methodology for analysing ink samples by high-performance thin layer chromatography (HPTLC) in reproducible way, when ink samples are analysed at different time, locations and by different examiners; (b) compare automatically and objectively ink samples; and (c) define and evaluate theoretical framework for the use of ink evidence in forensic context. This report focuses on the second of the three stages. Using the calibration and acquisition process described in the previous report, mathematical algorithms are proposed to automatically and objectively compare ink samples. The performances of these algorithms are systematically studied for various chemical and forensic conditions using standard performance tests commonly used in biometrics studies. The results show that different algorithms are best suited for different tasks. Finally, this report demonstrates how modern analytical and computer technology can be used in the field of ink examination and how tools developed and successfully applied in other fields of forensic science can help maximising its impact within the field of questioned documents.

Quantitative proteomics reveals subset-specific viral recognition in dendritic cells.

Dendritic cell (DC) populations consist of multiple subsets that are essential orchestrators of the immune system. Technological limitations have so far prevented systems-wide accurate proteome comparison of rare cell populations in vivo. Here, we used high-resolution mass spectrometry-based proteomics, combined with label-free quantitation algorithms, to determine the proteome of mouse splenic conventional and plasmacytoid DC subsets to a depth of 5,780 and 6,664 proteins, respectively. We found mutually exclusive expression of pattern recognition pathways not previously known to be different among conventional DC subsets. Our experiments assigned key viral recognition functions to be exclusively expressed in CD4(+) and double-negative DCs. The CD8alpha(+) DCs largely lack the receptors required to sense certain viruses in the cytoplasm. By avoiding activation via cytoplasmic receptors, including retinoic acid-inducible gene I, CD8alpha(+) DCs likely gain a window of opportunity to process and present viral antigens before activation-induced shutdown of antigen presentation pathways occurs.

Not one odour but two: A new model for nestmate recognition.

Recognition systems play a key role in a range of biological processes, including mate choice, immune defence and altruistic behaviour. Social insects provide an excellent model for studying recognition systems because workers need to discriminate between nestmates and non-nestmates, enabling them to direct altruistic behaviour towards closer kin and to repel potential invaders. However, the level of aggression directed towards conspecific intruders can vary enormously, even among workers within the same colony. This is usually attributed to differences in the aggression thresholds of individuals or to workers having different roles within the colony. Recent evidence from the weaver ant Oecophylla smaragdina suggests that this does not tell the whole story. Here I propose a new model for nestmate recognition based on a vector template derived from both the individual's innate odour and the shared colony odour. This model accounts for the recent findings concerning weaver ants, and also provides an alternative explanation for why the level of aggression expressed by a colony decreases as the diversity within the colony increases, even when odour is well-mixed. The model makes additional predictions that are easily tested, and represents a significant advance in our conceptualisation of recognition systems.

3D seismic facies characterization and geological patterns recognition (Australian North West Shelf)

EXECUTIVE SUMMARY This PhD research, funded by the Swiss Sciences Foundation, is principally devoted to enhance the recognition, the visualisation and the characterization of geobodies through innovative 3D seismic approaches. A series of case studies from the Australian North West Shelf ensures the development of reproducible integrated 3D workflows and gives new insight into local and regional stratigraphic as well as structural issues. This project was initiated in year 2000 at the Geology and Palaeontology Institute of the University of Lausanne (Switzerland). Several collaborations ensured the improvement of technical approaches as well as the assessment of geological models. - Investigations into the Timor Sea structural style were carried out at the Tectonics Special Research Centre of the University of Western Australia and in collaboration with Woodside Energy in Perth. - Seismic analysis and attributes classification approach were initiated with Schlumberger Oilfield Australia in Perth; assessments and enhancements of the integrated seismic approaches benefited from collaborations with scientists from Schlumberger Stavanger Research (Norway). Adapting and refining from "linear" exploration techniques, a conceptual "helical" 3D seismic approach has been developed. In order to investigate specific geological issues this approach, integrating seismic attributes and visualisation tools, has been refined and adjusted leading to the development of two specific workflows: - A stratigraphic workflow focused on the recognition of geobodies and the characterization of depositional systems. Additionally, it can support the modelling of the subsidence and incidentally the constraint of the hydrocarbon maturity of a given area. - A structural workflow used to quickly and accurately define major and secondary fault systems. The integration of the 3D structural interpretation results ensures the analysis of the fault networks kinematics which can affect hydrocarbon trapping mechanisms. The application of these integrated workflows brings new insight into two complex settings on the Australian North West Shelf and ensures the definition of astonishing stratigraphic and structural outcomes. The stratigraphic workflow ensures the 3D characterization of the Late Palaeozoic glacial depositional system on the Mermaid Nose (Dampier Subbasin, Northern Carnarvon Basin) that presents similarities with the glacial facies along the Neotethys margin up to Oman (chapter 3.1). A subsidence model reveals the Phanerozoic geodynamic evolution of this area (chapter 3.2) and emphasizes two distinct mode of regional extension for the Palaeozoic (Neotethys opening) and Mesozoic (abyssal plains opening). The structural workflow is used for the definition of the structural evolution of the Laminaria High area (Bonaparte Basin). Following a regional structural characterization of the Timor Sea (chapter 4.1), a thorough analysis of the Mesozoic fault architecture reveals a local rotation of the stress field and the development of reverse structures (flower structures) in extensional setting, that form potential hydrocarbon traps (chapter 4.2). The definition of the complex Neogene structural architecture associated with the fault kinematic analysis and a plate flexure model (chapter 4.3) suggest that the Miocene to Pleistocene reactivation phases recorded at the Laminaria High most probably result from the oblique normal reactivation of the underlying Mesozoic fault planes. This episode is associated with the deformation of the subducting Australian plate. Based on these results three papers were published in international journals and two additional publications will be submitted. Additionally this research led to several communications in international conferences. Although the different workflows presented in this research have been primarily developed and used for the analysis of specific stratigraphic and structural geobodies on the Australian North West Shelf, similar integrated 3D seismic approaches will have applications to hydrocarbon exploration and production phases; for instance increasing the recognition of potential source rocks, secondary migration pathways, additional traps or reservoir breaching mechanisms. The new elements brought by this research further highlight that 3D seismic data contains a tremendous amount of hidden geological information waiting to be revealed and that will undoubtedly bring new insight into depositional systems, structural evolution and geohistory of the areas reputed being explored and constrained and other yet to be constrained. The further development of 3D texture attributes highlighting specific features of the seismic signal, the integration of quantitative analysis for stratigraphic and structural processes, the automation of the interpretation workflow as well as the formal definition of "seismo-morphologic" characteristics of a wide range of geobodies from various environments would represent challenging examples of continuation of this present research. The 21st century will most probably represent a transition period between fossil and other alternative energies. The next generation of seismic interpreters prospecting for hydrocarbon will undoubtedly face new challenges mostly due to the shortage of obvious and easy targets. They will probably have to keep on integrating techniques and geological processes in order to further capitalise the seismic data for new potentials definition. Imagination and creativity will most certainly be among the most important quality required from such geoscientists.

Purpura of the face and neck: an atypical clinical presentation revealing a hepatosplenic T cell lymphoma

BACKGROUND: Hepatosplenic T cell lymphoma (HSTL) is a rare but very aggressive peripheral T cell lymphoma whose initial silent clinical presentation unfortunately delays the diagnosis and worsens the prognosis of patient survival. Efforts should be aimed at early recognition and treatment. METHODS: We describe a case of a 62-year-old woman who presented at our clinic with a non-palpable purpuric eruption of the face. Investigations revealed thrombocytopenia with hepatosplenomegaly, which showed rapid progression together with accentuation of the purpura. Two months later, a bone marrow biopsy revealed the diagnosis of a HSTL. RESULTS: The patient received six cycles of CHOP chemotherapy (vincristine, cyclophosphamide, doxorubicin, methylprednisolone) followed by a well-tolerated autologous bone marrow graft. Normalization of the platelet count resulted in regression of the purpuric rash. CONCLUSION: To our knowledge, this is the first report of a facial thrombocytopenic purpura as the inaugural symptom of HSTL. It emphasizes the privileged position of the dermatologist for early recognition of potentially lethal HSTL.

L'expérience des grands brûlés de la face : épreuves sociales et travail de reconnaissance

L'épreuve « factuelle » et physique de la brûlure grave des grands brûlés de la face fait l'objet d'une analyse sociologique systématique : alors qu'un accident peut, en quelques secondes, provoquer une véritable rupture biographique, l'acceptation du nouveau statut et la « reconstruction » d'un rapport à soi et aux autres prend beaucoup de temps. Les modalités de cette reconstruction et les tentatives pour retrouver une impossible « apparence normale » dans la vie publique sont ici analysées. Tout en étant attentive aux modalités de l'interaction, la présente étude relève d'une démarche sociologique compréhensive menée à partir d'observations et d'entretiens conduits avec ces personnes, amenant dans le giron de la sociologie une expérience éprouvanteencore peu connue, celle des grands brûlés de la face. Le registre discursif adossé à cette dernière vient compléter certaines représentations véhiculées par les médias, les fictions et qui influent sur la perception et la visibilité de ceux-ci. A l'aune du concept d'épreuve issu de la « sociologie pragmatique », le parcours du grand brûlé peut être examiné en prêtant une attention particulière au moment initial du parcours post¬brûlure : l'accident. La mise en récit de cette première épreuve est révélatrice des tentatives pour le grand brûlé de maintenir un lien entre un avant et un après l'accident. S'ensuit un continuum d'épreuves intervenant dès le moment où les grands brûlés se présentent physiquement face à autrui dans l'espace public suscitant des réactions de gêne et de malaise. Dans le prolongement des travaux d'Erving Goffman, on peut les concevoir comme des motifs d'« inconfort interactionnel ». Cette mise en évidence de l'inconfort interactionnel montre la nécessité de ne pas se limiter à une sociologie de la brûlure grave qui s'attarderait seulement sur les ajustements des interactions. A partir des travaux d'Axel Honneth sur la reconnaissance, il est possible de lire cette gestion des situations d'interaction dans une autre optique, celle qui, pour le grand brûlé, consiste à se préserver du mépris. Ce travail met l'accent sur des habiletés interactionnelles, des compétences qui fonctionnent comme des ressorts et permettent au grand brûlé de gérer des situations susceptibles de conduire au mépris. En s'appuyant sur des situations d'interaction racontées, deux formes de lutte individuelle, de quête de reconnaissance, peuvent être dégagées : d'une part, la « lutte contre » la trop grande visibilité et contre la prégnance de certains préjugés et, d'autre part, la « lutte pour » faire connaître des aspects invisibles ou moins visibles de la brûlure grave. - This thesis analyzes the "factual" and physical ordeal of a severe burn as experienced by victims of severe facial burns. In a few seconds, an accident provokes a biographical rupture and persons involved need time to integrate their new status. This thesis concentrates on the "reconstruction" modes of the relationship with oneself and with others, and on attempts to find an impossible "normal appearance" in public life. While being attentive to the modalities of interaction, the study uses comprehensive sociology based on observations and interviews. This thesis brings into sociology litde known views of those suffering severe facial burns. These views supplement certain media representations that influence perceptions and visibility of the people involved. Applying the concept of test, a key concept of pragmatic sociology, the progression of a severely burned person can be described by focusing on the initial moment: the accident. The recounting of this first challenge reveals the severely burned person's efforts to link the "before" and "after" the accident. A continuum of challenges follows. These tests occur when the severely burned person physically faces others in a public space and when visible discomfort and embarrassment show, reactions which we consider, following Erving Goffman's works, as situations of "interactional discomfort." Emphasis on interactional discomfort shows the necessity of expanding the sociology of severe burns to more than just adjustments to interactions. Based on Axel Honneth's works, we can read the management of interactions from another point of view, in which the severely burned person tries to avoid contempt. This work emphasizes interactional aptitudes, skills that act like rebounding springs, and allow the severely burned person to manage situations that might lead to contempt. Starting with descriptions of interactions, we have determined two forms of individual struggle that appear to be a search for recognition: on one hand, the "struggle against" too much visibility and against the strength of certain prejudices, and, on the other hand, a "struggle for" making known rtain invisible or less visible aspects of a severe burn.