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Tesis sobre el tema "Human activity"

Autor: Grafiati

Publicado: 4 de junio de 2021

Última modificación: 25 de julio de 2025

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1

Albinali, Fahd. "Activity-Aware Computing: Modeling of Human Activity and Behavior." Diss., The University of Arizona, 2008. http://hdl.handle.net/10150/195382.

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With our society becoming increasingly mobile and devices that are small, inexpensive and wireless, we are transitioning from an age of desktop computing to an age where computers are used in all aspects of life and leisure. Ubiquitous Computing is largely concerned with the progression of computers from stationary desktop environments to environments where computers and sensors are integrated with objects and every aspect of our daily life, often in an invisible way.This dissertation investigates an important problem in Ubiquitous Computing: detecting domestic activities using ubiquitously de

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2

Reyes, Ortiz Jorge Luis. "Smartphone-based human activity recognition." Doctoral thesis, Universitat Politècnica de Catalunya, 2014. http://hdl.handle.net/10803/284725.

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Human Activity Recognition (HAR) is a multidisciplinary research field that aims to gather data regarding people's behavior and their interaction with the environment in order to deliver valuable context-aware information. It has nowadays contributed to develop human-centered areas of study such as Ambient Intelligence and Ambient Assisted Living, which concentrate on the improvement of people's Quality of Life. The first stage to accomplish HAR requires to make observations from ambient or wearable sensor technologies. However, in the second case, the search for pervasive, unobtrusive, low-p

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3

Outten, Alan Gerard. "Analysis of human muscle activity." Thesis, Imperial College London, 1997. http://hdl.handle.net/10044/1/7958.

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4

TOKALA, SAI SUJIT, and RANADEEP ROKALA. "HUMAN ACTIVITY MONITORING USING SMARTPHONE." Thesis, Blekinge Tekniska Högskola, Institutionen för tillämpad signalbehandling, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2566.

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The main aim of the project is to develop an algorithm which will classify the activity performed by a human who is carrying a smart phone. The day to day life made humans very busy at work and during daily activities, mostly elderly people who are at home have an important need to monitor their activity by others when they are alone, if they are inactive for a long time without movement, or in some situations like if they have fallen down, became unconscious for sometime or seized with a cardiac arrest etc… will help the observer to know the state of activity of person being monitored. In thi

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5

Ameri-Daragheh, Alireza. "Wearable human activity recognition systems." Thesis, California State University, Long Beach, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=1595755.

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<p> In this thesis, we focused on designing wearable human activity recognition (WHAR) systems. As the first step, we conducted a thorough research over the publications during the recent ten years in this area. Then, we proposed an all-purpose architecture for designing the software of WHAR systems. Afterwards, among various applications of these wearable systems, we decided to work on wearable virtual fitness coach device which can recognize various types and intensities of warm-up exercises that an athlete performs. We first proposed a basic hardware platform for implementing the WHAR softw

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6

Kepenekci, Burcu. "Human Activity Recognition By Gait Analysis." Phd thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12613089/index.pdf.

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This thesis analyzes the human action recognition problem. Human actions are modeled as a time evolving temporal texture. Gabor filters, which are proved to be a robust 2D texture representation tool by detecting spatial points with high variation, is extended to 3D domain to capture motion texture features. A well known filtering algorithm and a recent unsupervised clustering algorithm, the Genetic Chromodynamics, are combined to select salient spatio-temporal features of the temporal texture and to segment the activity sequence into temporal texture primitives. Each activity sequence is repr

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7

Akpinar, Kutalmis. "Human Activity Classification Using Spatio-temporal." Master's thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614587/index.pdf.

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This thesis compares the state of the art methods and proposes solutions for human activity classification from video data. Human activity classification is finding the meaning of human activities, which are captured by the video. Classification of human activity is needed in order to improve surveillance video analysis and summarization, video data mining and robot intelligence. This thesis focuses on the classification of low level human activities which are used as an important information source to determine high level activities. In this study, the feature relation histogram based activi

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8

Qi, Lin. "Autonomous Identification of Human Activity Regions." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-212052.

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Human activity regions (HARs) are human-centric semantic partitions where observing and/or interacting with humans is likely in indoor environments. HARs are useful for achieving successful human-robot interaction, such as in safe navigation around a building or to know where to be able to assist humans in their activities. In this thesis, a system is designed for generating HARs automatically based on data recorded by robots. This approach to generating HARs is to cluster the areas that are commonly associated with frequent human presence. In order to detect human positions, we employ state-o

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9

Lakins, Johnathon N. "Structure and activity of human clusterin." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape7/PQDD_0021/NQ45178.pdf.

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10

Devaraj, Revathy. "Validation of the Human Activity Profile." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ52893.pdf.

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11

Pham, Cuong Van. "Human activity recognition for pervasive interaction." Thesis, University of Newcastle Upon Tyne, 2012. http://hdl.handle.net/10443/1684.

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This thesis addresses the challenge of computing food preparation context in the kitchen. The automatic recognition of fine-grained human activities and food ingredients is realized through pervasive sensing which we achieve by instrumenting kitchen objects such as knives, spoons, and chopping boards with sensors. Context recognition in the kitchen lies at the heart of a broad range of real-world applications. In particular, activity and food ingredient recognition in the kitchen is an essential component for situated services such as automatic prompting services for cognitively impaired kitch

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12

Blanke, Ulf Mario [Verfasser]. "Recognizing Complex Human Activity Based on Activity Spotting / Ulf Mario Blanke." München : Verlag Dr. Hut, 2011. http://d-nb.info/1017353484/34.

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13

Bryan, Donna Sarah. "Regulation of interleukin-6 activity in human keratinocytes by human papillomavirus." Thesis, Queen Mary, University of London, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.286270.

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14

Zagnoli, Andrea. "Human Activity Recognition con telecamere di profondità." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amslaurea.unibo.it/12946/.

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Lo studio presentato in questa Tesi si propone di elaborare, implementare e testare un algoritmo di Human Activity Recognition (HAR) basato su telecamere di profondità. Per HAR si intende quel settore del machine learning che mira a studiare tecniche che, tramite l’acquisizione di informazioni da sorgenti di diverso tipo, permettano ad una macchina di apprendere in modo autonomo un metodo di classificazione delle attività umane. In particolare l’algoritmo proposto sfrutta la tecnologia delle telecamere di profondità (il sensore utilizzato è il Microsoft Kinect) che a differenza delle tradi

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15

Tadesse, Girmaw Abebe. "Human activity recognition using a wearable camera." Doctoral thesis, Universitat Politècnica de Catalunya, 2018. http://hdl.handle.net/10803/668914.

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Advances in wearable technologies are facilitating the understanding of human activities using first-person vision (FPV) for a wide range of assistive applications. In this thesis, we propose robust multiple motion features for human activity recognition from first person videos. The proposed features encode discriminant characteristics form magnitude, direction and dynamics of motion estimated using optical flow. M:>reover, we design novel virtual-inertial features from video, without using the actual inertial sensor, from the movement of intensity centroid across frames. Results on multiple

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16

Kruusvall, I︠U︡. "Environmental and social influence on human activity." Tartu, Estonia : Dept. of Psychology, University of Tartu, 1994. http://catalog.hathitrust.org/api/volumes/oclc/35034030.html.

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17

Westholm, Erik. "A Simulator Tool for Human Activity Recognition." Thesis, Örebro University, School of Science and Technology, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-10322.

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<p>The goal of this project was to create a simulator that was to produce data for research in the field of activity recognition. The simulator was to simulate a human entity moving around in, and interacting with, a PEIS environment. This simulator ended up being based on The Sims 3, and how this was done is described. The reader is expected to have some experience with programming.</p>

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18

Meijer, Gerwin Alexander Leo. "Physical activity implications for human energy metabolism /." [Maastricht : Maastricht : Rijksuniversiteit Limburg] ; University Library, Maastricht University [Host], 1990. http://arno.unimaas.nl/show.cgi?fid=5563.

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19

Li, Xiaoyu. "Studies of antiviral activity of human APOBEC3G." Thesis, McGill University, 2011. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=97017.

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The HIV-1 accessory protein Vif (virion infectivity factor) is required for HIV-1 to replicate in certain "non-permissive" cell types, which include major targets of HIV-1, such as primary T lymphocytes and macrophages, as well as T-cell lines such as H9. Vif is not required for viral replication in other "permissive" cell types such as SupT1, Jurkat, 293, HeLa, and CEM-SS lines. Recent studies demonstrate that non-permissive cells contain a protein called human APOBEC3G (apolipoprotein B mRNA-editing enzyme catalytic polypeptide-like 3G), which prevents HIV-1 replication in the absence of Vif

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20

Kaelin, A. C. "A characterization of human placental monooxygenase activity." Thesis, Brunel University, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.374837.

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21

Kilner, James Morvan. "Oscillatory activity in the human motor system." Thesis, University College London (University of London), 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.369225.

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22

Hendriks-Jansen, Horst. "Situated activity, interactive emergence, and human thought." Thesis, University of Sussex, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.386443.

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23

Kroese, Karolin. "Generating biomarkers of human Nek8 kinase activity." Thesis, University of Leicester, 2018. http://hdl.handle.net/2381/42233.

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Nek8 is a member of the human NIMA-related serine/threonine protein kinase family that has roles in cell cycle progression, primary cilia function and the DNA damage response. Mutations in the human nek8 gene cause Nephronophthisis (NPHP), an autosomal recessive polycystic kidney disease in which defects in primary cilia lead to a broad range of often severe symptoms that affect many organs of the body. In the kidneys, NPHP causes the development of cortico-medullary cysts that impair kidney function and ultimately lead to kidney failure. Nek8 localises to the primary cilium where it interacts

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24

Machado, Inês Prata. "Human activity data discovery based on accelerometry." Master's thesis, Faculdade de Ciências e Tecnologia, 2013. http://hdl.handle.net/10362/10992.

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25

Ziaeefard, Maryam. "Time-slice analysis of dyadic human activity." Doctoral thesis, Université Laval, 2017. http://hdl.handle.net/20.500.11794/27920.

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La reconnaissance d’activités humaines à partir de données vidéo est utilisée pour la surveillance ainsi que pour des applications d’interaction homme-machine. Le principal objectif est de classer les vidéos dans l’une des k classes d’actions à partir de vidéos entièrement observées. Cependant, de tout temps, les systèmes intelligents sont améliorés afin de prendre des décisions basées sur des incertitudes et ou des informations incomplètes. Ce besoin nous motive à introduire le problème de l’analyse de l’incertitude associée aux activités humaines et de pouvoir passer à un nouveau niveau de g

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26

Albert, Florea George, and Filip Weilid. "Deep Learning Models for Human Activity Recognition." Thesis, Malmö universitet, Fakulteten för teknik och samhälle (TS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20201.

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AMI Meeting Corpus (AMI) -databasen används för att undersöka igenkännande av gruppaktivitet. AMI Meeting Corpus (AMI) -databasen ger forskare fjärrstyrda möten och naturliga möten i en kontorsmiljö; mötescenario i ett fyra personers stort kontorsrum. För attuppnågruppaktivitetsigenkänninganvändesbildsekvenserfrånvideosoch2-dimensionella audiospektrogram från AMI-databasen. Bildsekvenserna är RGB-färgade bilder och ljudspektrogram har en färgkanal. Bildsekvenserna producerades i batcher så att temporala funktioner kunde utvärderas tillsammans med ljudspektrogrammen. Det har visats att inkluder

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27

Sathe, Pushkar Sunil. "Tracking, Recognizing and Analyzing Human Exercise Activity." University of Akron / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=akron1574250900963207.

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28

Boeheim, Jamie Lynn. "Human activity recognition using limb component extraction /." Online version of thesis, 2008. http://hdl.handle.net/1850/7764.

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29

O'Malley, Patrick D. "Human activity tracking for wide-area surveillance." [Gainesville, Fla.] : University of Florida, 2002. http://purl.fcla.edu/fcla/etd/UFE1000150.

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Thesis (M.S.)--University of Florida, 2002.<br>Title from title page of source document. Document formatted into pages; contains vi, 46 p.; also contains graphics. Includes vita. Includes bibliographical references.

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30

Böhme, Martin [Verfasser]. "Tracking gaze and human activity / Martin Böhme." Lübeck : Zentrale Hochschulbibliothek Lübeck, 2010. http://d-nb.info/1004772181/34.

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31

Pang, Jinyong. "Human Activity Recognition Based on Transfer Learning." Scholar Commons, 2018. https://scholarcommons.usf.edu/etd/7558.

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Human activity recognition (HAR) based on time series data is the problem of classifying various patterns. Its widely applications in health care owns huge commercial benefit. With the increasing spread of smart devices, people have strong desires of customizing services or product adaptive to their features. Deep learning models could handle HAR tasks with a satisfied result. However, training a deep learning model has to consume lots of time and computation resource. Consequently, developing a HAR system effectively becomes a challenging task. In

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32

Dreher, Heinz. "Empowering Human Cognitive Activity through Hypertext Technology." Thesis, Curtin University, 1997. http://hdl.handle.net/20.500.11937/813.

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This research explores how computers may be used by individual researchers engaged in cognitive activity and creating original outputs, specifically, how one of the emerging information technologies, hypertext, is able to provide suggestions for the understanding to support and empower human cognitive activity.The study investigates the possibility of a new model within which to approach that part of research that seeks to make connections to what has been done previously, and to stimulate new thoughts.Imagine swimming in a vast sea of potentially useful information. How can one possibly begin

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33

Dreher, Heinz. "Empowering Human Cognitive Activity through Hypertext Technology." Curtin University of Technology, School of Information Systems, 1997. http://espace.library.curtin.edu.au:80/R/?func=dbin-jump-full&object_id=9393.

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This research explores how computers may be used by individual researchers engaged in cognitive activity and creating original outputs, specifically, how one of the emerging information technologies, hypertext, is able to provide suggestions for the understanding to support and empower human cognitive activity.The study investigates the possibility of a new model within which to approach that part of research that seeks to make connections to what has been done previously, and to stimulate new thoughts.Imagine swimming in a vast sea of potentially useful information. How can one possibly begin

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34

Najder-Stefaniak, K. "Ethical dimension of management of human activity and of human work results." Thesis, Сумський державний університет, 2014. http://essuir.sumdu.edu.ua/handle/123456789/34304.

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The contemporary human being realizes that their activity influences the surrounding world and themselves. At the same time, the occurrences that have taken place in the 20th and 21st century make them recognize the fact of the existence of the multidimensional cultural crisis and that they have reached the “turning point.” These happenings inspire to reflection on the creative activity of the human being; they make us realize that it is really important, in relation to that activity, to exercise the virtue of wisdom, i.e. the constant predisposition to create the good. When you are citing th

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35

Karpatschof, Benny. "Human activity : contributions to the anthropological sciences from a perspective of activity theory /." Copenhagen : Dansk psykologisk forlag, 2000. http://catalogue.bnf.fr/ark:/12148/cb37716657t.

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36

Porter, Joanna Catherine Mary. "Control of leukocyte integrin activity on T lymphocytes." Thesis, University College London (University of London), 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.312850.

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37

Griffin, B. D. "Studies of human factor VIII." Thesis, Open University, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.482878.

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Factor VIII is a complex of two proteins, the von Willebrand factor (or factor VIII related antigen) and the procoagulant protein. Both are essential for normal haemostasis. Problems exist in the purification of factor VIII as it is present in only low concentrations in plasma, and its procoagulant activity is unstable. As a result, therapeutic factor VIII concentrates prepared by the Blood Transfusion Service (for the treatment of heamophilia and von Willebrand's disease) are relatively impure, and the yield from existing purification processes is low. The studies presented in this thesis are

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38

Niu, Feng. "Human Activity Recognition and Pathological Gait Pattern Identification." Scholarly Repository, 2007. http://scholarlyrepository.miami.edu/oa_dissertations/247.

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Human activity analysis has attracted great interest from computer vision researchers due to its promising applications in many areas such as automated visual surveillance, computer-human interactions, and motion-based identification and diagnosis. This dissertation presents work in two areas: general human activity recognition from video, and human activity analysis for the purpose of identifying pathological gait from both 3D captured data and from video. Even though the research in human activity recognition has been going on for many years, still there are many issues that need more r

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39

Pouke, M. (Matti). "Augmented virtuality:transforming real human activity into virtual environments." Doctoral thesis, Oulun yliopisto, 2015. http://urn.fi/urn:isbn:9789526208343.

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Abstract The topic of this work is the transformation of real-world human activity into virtual environments. More specifically, the topic is the process of identifying various aspects of visible human activity with sensor networks and studying the different ways how the identified activity can be visualized in a virtual environment. The transformation of human activities into virtual environments is a rather new research area. While there is existing research on sensing and visualizing human activity in virtual environments, the focus of the research is carried out usually within a specific t

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40

Matilainen, M. (Matti). "Embedded computer vision methods for human activity recognition." Doctoral thesis, Oulun yliopisto, 2017. http://urn.fi/urn:isbn:9789526216256.

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Abstract The way how people interact with machines will change in the future. Long have been the traditional ways – mouse and keyboard – the primary interface between man and computer. Recently, the voice and gesture controlled interfaces have been introduced in many devices but they have not yet become very popular. One possible direction where human-computer interfaces can go is to be able to completely hide the interface from the user and allow him or her to interact with the machines in a way that is more natural to human. This thesis introduces a smart living space concept that is a small

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41

Costa, Bento Diana Filipa. "Immune activity during progression of human colorectal cancer." Thesis, Cardiff University, 2016. http://orca.cf.ac.uk/96996/.

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Colorectal cancer (CRC) patients survive and stay free of disease for longer after surgery if their primary tumours were infiltrated with an increased density of T cells. Studies of breast tumours and melanoma have also shown that the presence of specialised blood vessels named high endothelial venules (HEVs), within tumours are associated with a high density of infiltrating T cells and a positive prognosis. It is therefore possible, that presence of HEVs within CRC is associated with a high density of infiltrating T cells and a good patient outcome. To test this hypothesis, primary tumours, r

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42

Sauma, Lilian. "Transcriptional activity of PPARγ in primary human adipocytes". Doctoral thesis, Linköpings universitet, Internmedicin, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-19169.

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The prevalence of obesity is increasing in most parts of the world and is a strong risk factor for the development of insulin resistance, type 2 diabetes and hypertension. Adipose tissue is mainly composed of adipocytes which store energy in the form of triglycerides and release it as free fatty acids. Adipose tissue is one of the major regulators of energy homeostasis in the body. Adipose tissue in different regions of the body has different characteristics and adipocytes in intra-abdominal fat depots are more associated with insulin resistance than adipocytes from subcutaneous fat depots. Re

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43

Masato, Daniele. "Incremental activity and plan recognition for human teams." Thesis, University of Aberdeen, 2012. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=186768.

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Anticipating human subjects' intentions and information needs is considered one of the ultimate goals of Artificial Intelligence. Activity and plan recognition contribute to this goal by studying how low-level observations about subjects and the environment in which they act can be linked to a high-level plan representation. This task is challenging in a dynamic and uncertain environment; the environment may change while the subjects are reasoning about it, and the effects of the subjects' interactions cannot be predicted with certainty. Humans generally struggle to enact plans and maintain si

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44

Fitzsimons, E. J. "5-aminolaevulinic acid synthase activity in human erythroblasts." Thesis, Bucks New University, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.381462.

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45

Fisher, Rebecca Jane. "Inhibition and oscillatory activity in human motor cortex." Thesis, University College London (University of London), 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.272397.

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46

Stephens, Kyle. "Human and group activity recognition from video sequences." Thesis, University of York, 2016. http://etheses.whiterose.ac.uk/18347/.

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A good solution to human activity recognition enables the creation of a wide variety of useful applications such as applications in visual surveillance, vision-based Human-Computer-Interaction (HCI) and gesture recognition. In this thesis, a graph based approach to human activity recognition is proposed which models spatio-temporal features as contextual space-time graphs. In this method, spatio-temporal gradient cuboids were extracted at significant regions of activity, and feature graphs (gradient, space-time, local neighbours, immediate neighbours) are constructed using the similarity matri

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47

Duckworth, Paul. "Unsupervised human activity analysis for intelligent mobile robots." Thesis, University of Leeds, 2017. http://etheses.whiterose.ac.uk/18850/.

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The success of intelligent mobile robots in daily living environments depends on their ability to understand human movements and behaviours. One goal of recent research is to understand human activities performed in real human environments from long term observation. We consider a human activity to be a temporally dynamic configuration of a person interacting with key objects within the environment that provide some functionality. This can be a motion trajectory made of a sequence of 2-dimensional points representing a person’s position, as well as more detailed sequences of high-dimensional b

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48

Santos, Diliana Maria Barradas Rebelo dos. "Human activity recognition for an intelligent knee orthosis." Master's thesis, Faculdade de Ciências e Tecnologia, 2012. http://hdl.handle.net/10362/8493.

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Dissertação para obtenção do Grau de Mestre em Engenharia Biomédica<br>Activity recognition with body-worn sensors is a large and growing field of research. In this thesis we evaluate the possibility to recognize human activities based on data from biosignal sensors solely placed on or under an existing passive knee orthosis, which will produce the needed information to integrate sensors into the orthosis in the future. The development of active orthotic knee devices will allow population to ambulate in a more natural, efficient and less painful manner than they might with a traditional

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49

Arvidsson, Dan. "Cross-Platform Modelling for Human Activity Recognition System." Thesis, Umeå universitet, Statistik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-149731.

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Human activity recognition (HAR) systems have a large set of potential applications in healthcare, e.g. fall detection and tracking physical activities. HAR systems based on wearable sensors have gained the most attraction, due to smartphones having these sensors embedded in them. This makes them a great candidate for collecting human activity sensor data. By utilizing the smartphone sensors, no other sensors need to be supplied and instead only a mobile application needs to be supplied. However, this comes with a trade-off, sensors embedded in smartphones display specific heterogeneity and bi

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50

Garcia-Rangel, Carlos-Enrique. "Anti-Candida activity of the human gut metabolome." Master's thesis, Université Laval, 2018. http://hdl.handle.net/20.500.11794/29994.

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L’intestin humain contient une variété de microbes commensaux qui sont représentés par divers organismes appartenant aux trois domaines de la vie où les Eukarya sont essentiellement représentés par le règne des champignons. La levure commensale et opportuniste Candida albicans a été identifiée comme étant le champignon le plus commun dans l’intestin des humains sains. Des études récentes soutiennent que malgré leur faible abondance les levures du genre Candida peuvent altérer l'équilibre du microbiote et conduire à des dysbioses ou des pathologies récurrentes comme la maladie de Crohn et les c

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