Дисертації з теми "Human behaviour"
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Hollmann, Claudia. "A cognitive human behaviour model for pedestrian behaviour simulation." Thesis, University of Greenwich, 2015. http://gala.gre.ac.uk/13831/.
Повний текст джерелаMcMillan, Anne Sinclair. "Human masseter motor unit behaviour." Thesis, University of British Columbia, 1989. http://hdl.handle.net/2429/30673.
Повний текст джерелаDentistry, Faculty of
Graduate
Lawson, Glyn. "Predicting human behaviour in emergencies." Thesis, University of Nottingham, 2011. http://eprints.nottingham.ac.uk/12027/.
Повний текст джерелаSyed, Shazali Syed Tarmizi. "Human behaviour modelling through Human Intelligent Movement Software (HIMs)." Thesis, Loughborough University, 2010. https://dspace.lboro.ac.uk/2134/6382.
Повний текст джерелаRymill, Stephen Julian. "Psychologically-based simulation of human behaviour." Thesis, University of Cambridge, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.614295.
Повний текст джерелаRando, C. J. "Human behaviour and the temporomandibular joint." Thesis, University College London (University of London), 2011. http://discovery.ucl.ac.uk/1322969/.
Повний текст джерелаBoulay, Bernard. "Human posture recognition for behaviour understanding." Nice, 2007. http://www.theses.fr/2007NICE4000.
Повний текст джерелаDurant cette thèse nous avons proposé une approche temps réel, générique et fonctionnelle pour reconnaître la posture des personnes filmées par une caméra statique. Notre approche est conçue pour être complètement automatique et indépendante du point de vue de la caméra. La reconnaissance de posture à partir de séquence vidéo est un problème difficile. Ce problème s'inscrit dans le champ de recherche plus général de l'interprétation de séquence vidéo. L'approche proposée prend en entrée des informations provenant d'algorithmes de vision telles que la silhouette de la personne observée (une image binaire où une couleur représente la personne et l'autre le fond) ou sa position dans la scène. La première contribution est la modélisation d'un avatar 3D de posture. Un avatar 3D de posture est composé d'un modèle 3D humain (définissant les relations entre les différentes parties du corps), d'un ensemble de paramètre (définissant les positions des différentes parties du corps) et d'un ensemble de primitive (définissant l'aspect visuel des parties du corps). La seconde contribution est la proposition d'une approche hybride combinant l'utilisation de modèles 3D et de techniques 2D. Les avatars 3D de postures sont utilisés dans le processus de reconnaissance pour avoir une certaine indépendance du point de vue de la caméra. Les techniques 2D représentent les silhouettes des personnes détectées pour garder un temps réel de calcul. Cette thèse montre comment les avatars 3D peuvent être utilisés pour obtenir une approche générique et fonctionnelle pour reconnaître les postures. Cette approche est composée de deux parties : la détection de postures qui reconnaît la posture de la personne détectée en utilisant seulement l'information calculée sur l'image considérée, et le filtrage temporel de posture qui reconnaît la posture en utilisant l'information provenant des images précédentes. Une troisième contribution a été faite en comparant différentes représentations 2D des silhouettes au niveau du temps de calcul nécessaire et de leur dépendance à la qualité de la silhouette. Quatre représentations ont été retenues : une représentation combinant différentes valeurs géométriques, les moment de Hu, la skeletonisation et les projections horizontale et verticale. Une quatrième contribution est la caractérisation des cas ambigus. Des ambiguïtés au niveau de la reconnaissance peuvent se produire en utilisant seulement une caméra statique. Une posture ambiguë est définie par plusieurs postures vii qui ont des silhouettes visuellement similaires. Des données de synthèse sont générées pour évaluer l'approche proposée pour différents points de vue. Ainsi, les postures ambiguës sont identifiées en considérant la posture et son orientation. L'approche est aussi évaluée pour des données réelles en proposant un modèle de vérité terrain pour la reconnaissance de posture. Une cinquième contribution a été proposée en appliquant le résultat de notre approche à la reconnaissance d'action. Une méthode utilisant des machines à états finis a ainsi été proposée pour reconnaître des actions faisant intervenir une seule personne. Chaque état de la machine est composé d'une ou plusieurs postures. Cette méthode est appliquée avec succès pour détecter les chutes et la marche. Bien que notre approche donne de très bon taux de reconnaissance, il subsiste quelques limitations. La principale limitation de l'approche est qu'elle est limitée en nombre de postures d'intérêt pour des raisons de temps de calcul et de discrimination entre les postures considérées. La seconde limitation est le temps nécessaire à la génération des silhouettes des avatars 3D de posture. En utilisant l'information sur le déplacement de la personne dans la scène, l'algorithme de reconnaissance de posture traite entre 5 et 6 images par seconde. Des améliorations peuvent être faites pour résoudre ces limitations. En particulier, nous pourrions adapter automatiquement l'ensemble des postures d'intérêt au cas considéré, en utilisant par exemple la posture reconnue précédemment pour restreindre les postures 3D dont nous voulons extraire les silhouettes
Miszkiewicz, Justyna J. "Ancient human bone histology and behaviour." Thesis, University of Kent, 2014. https://kar.kent.ac.uk/38319/.
Повний текст джерелаBuss, Keno. "Behavioural patterns for the analysis of creative behaviour." Thesis, De Montfort University, 2011. http://hdl.handle.net/2086/4938.
Повний текст джерелаJames, Hannah Victoria Arnison. "Becoming human : the emergence of modern human behaviour within South Asia." Thesis, University of Cambridge, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.609772.
Повний текст джерелаHaggard, Patrick. "The coordination of human prehension." Thesis, University of Cambridge, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.239142.
Повний текст джерелаAntley, A. "Human balance behaviour in immersive virtual environments." Thesis, University College London (University of London), 2014. http://discovery.ucl.ac.uk/1421067/.
Повний текст джерелаMunro-Faure, Amy Louise. "Causes of variation in human cooperative behaviour." Thesis, University of Edinburgh, 2018. http://hdl.handle.net/1842/31376.
Повний текст джерелаBotta, Federico. "Quantifying human behaviour using complex social datasets." Thesis, University of Warwick, 2016. http://wrap.warwick.ac.uk/88546/.
Повний текст джерелаPalaghias, Niklas. "Opportunistic sensing platforms to interpret human behaviour." Thesis, University of Surrey, 2017. http://epubs.surrey.ac.uk/841529/.
Повний текст джерелаWaldron, Julie A. "Human behaviour outdoors and the environmental factors." Thesis, University of Nottingham, 2018. http://eprints.nottingham.ac.uk/52112/.
Повний текст джерелаNajar, Anis. "Shaping robot behaviour with unlabeled human instructions." Thesis, Paris 6, 2017. http://www.theses.fr/2017PA066152.
Повний текст джерелаMost of current interactive learning systems rely on predefined protocols that constrain the interaction with the user. Relaxing the constraints of interaction protocols can therefore improve the usability of these systems.This thesis tackles the question of interpreting human instructions, in order to relax the constraints about predetermining their meanings. We propose a framework that enables a human teacher to shape a robot behaviour, by interactively providing it with unlabeled instructions. Our approach consists in grounding the meaning of instruction signals in the task learning process, and using them simultaneously for guiding the latter. This approach has a two-fold advantage. First, it provides more freedom to the teacher in choosing his preferred signals. Second, it reduces the required engineering efforts, by removing the necessity to encode the meaning of each instruction signal. We implement our framework as a modular architecture, named TICS, that offers the possibility to combine different information sources: a predefined reward function, evaluative feedback and unlabeled instructions. This allows for more flexibility in the teaching process, by enabling the teacher to switch between different learning modes. Particularly, we propose several methods for interpreting instructions, and a new method for combining evaluative feedback with a predefined reward function. We evaluate our framework through a series of experiments, performed both in simulation and with real robots. The experimental results demonstrate the effectiveness of our framework in accelerating the task learning process, and in reducing the number of required interactions with the teacher
Najar, Anis. "Shaping robot behaviour with unlabeled human instructions." Electronic Thesis or Diss., Paris 6, 2017. http://www.theses.fr/2017PA066152.
Повний текст джерелаMost of current interactive learning systems rely on predefined protocols that constrain the interaction with the user. Relaxing the constraints of interaction protocols can therefore improve the usability of these systems.This thesis tackles the question of interpreting human instructions, in order to relax the constraints about predetermining their meanings. We propose a framework that enables a human teacher to shape a robot behaviour, by interactively providing it with unlabeled instructions. Our approach consists in grounding the meaning of instruction signals in the task learning process, and using them simultaneously for guiding the latter. This approach has a two-fold advantage. First, it provides more freedom to the teacher in choosing his preferred signals. Second, it reduces the required engineering efforts, by removing the necessity to encode the meaning of each instruction signal. We implement our framework as a modular architecture, named TICS, that offers the possibility to combine different information sources: a predefined reward function, evaluative feedback and unlabeled instructions. This allows for more flexibility in the teaching process, by enabling the teacher to switch between different learning modes. Particularly, we propose several methods for interpreting instructions, and a new method for combining evaluative feedback with a predefined reward function. We evaluate our framework through a series of experiments, performed both in simulation and with real robots. The experimental results demonstrate the effectiveness of our framework in accelerating the task learning process, and in reducing the number of required interactions with the teacher
Potter, M. J. "Heart rate and behaviour in the domestic chick." Thesis, University of Reading, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.376787.
Повний текст джерелаLeach, Michael Jeremy Vincent. "Automatic human behaviour anomaly detection in surveillance video." Thesis, Heriot-Watt University, 2015. http://hdl.handle.net/10399/3014.
Повний текст джерелаFunk, Sebastian. "The dynamics of contagious diseases and human behaviour." Thesis, Royal Holloway, University of London, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.521414.
Повний текст джерелаRosetti, Sciutto Marcos Francisco. "Exploration of human search behaviour : a multidisciplinary perspective." Thesis, University of Sussex, 2011. http://sro.sussex.ac.uk/id/eprint/7425/.
Повний текст джерелаForster, A. S. "The human papillomavirus immunisation programme and sexual behaviour." Thesis, University College London (University of London), 2011. http://discovery.ucl.ac.uk/1301995/.
Повний текст джерелаAboukanda, Entisar. "A study of human behaviour in Libyan healthcare." Thesis, Manchester Metropolitan University, 2014. http://e-space.mmu.ac.uk/338868/.
Повний текст джерелаHillebrandt, H. F. "Bayesian hierarchical predictive coding of human social behaviour." Thesis, University College London (University of London), 2014. http://discovery.ucl.ac.uk/1435549/.
Повний текст джерелаNeumann, Wiebke. "Moose Alces alces behaviour related to human activity." Umeå : Department of Wildlife, Fish, and Environmental Studies, Swedish University of Agricultural Sciences, 2009. http://epsilon.slu.se/200964.pdf.
Повний текст джерелаColvin, Thomas. "Comparing computational models of vision to human behaviour." Thesis, University of Nottingham, 2018. http://eprints.nottingham.ac.uk/50196/.
Повний текст джерелаNavarathna, Rajitha Dharshana Bandara. "Robust recognition of human behaviour in challenging environments." Thesis, Queensland University of Technology, 2014. https://eprints.qut.edu.au/66235/1/Rajitha%20Dharshana%20Bandara_Navarathna_Thesis.pdf.
Повний текст джерелаHendriks-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.
Повний текст джерелаNiebuhr, V. "The coordination of behaviour between breeding herring gull mates." Thesis, University of Oxford, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.355792.
Повний текст джерелаAzzopardi, P. J. "Visually-mediated behaviour of the perch, Perca fluviatilis L." Thesis, University of Manchester, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.375058.
Повний текст джерелаPierce, G. J. "The foraging behaviour of the common shrew, Sorex araneus." Thesis, University of Aberdeen, 1985. http://digitool.abdn.ac.uk/R?func=search-advanced-go&find_code1=WSN&request1=AAIU362790.
Повний текст джерелаGray, Richard William. "Hedonic factors in human food choice." Thesis, University of Sussex, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.388937.
Повний текст джерелаShin, H. D. "Switching the human-power back on : domesticating human-power to practice energy saving behaviour." Thesis, Nottingham Trent University, 2014. http://irep.ntu.ac.uk/id/eprint/88/.
Повний текст джерелаWatts, Leon Adam. "Understanding interactive behaviour : a quantitative approach." Thesis, University of York, 1998. http://etheses.whiterose.ac.uk/10859/.
Повний текст джерелаHammond, David. "Human smoking behaviour, cigarette testing protocols, and constituent yields." Thesis, University of Waterloo, 2005. http://hdl.handle.net/10012/737.
Повний текст джерелаThe results of the field study indicate a high degree of stability in puffing behaviour within the same smoker over time, but considerable variability between smokers, including those smoking the same brand. Puffing behaviour was strongly associated with cotinine levels, particularly when included in an interaction term with cigarettes per day (Part r = . 50, p<. 001). Smokers who were switched to a ?low-yield? cigarette increased their total smoke intake per cigarette by 40% (p=. 007), with no significant change in their in salivary cotinine levels.
The results indicate systematic differences between human puffing behaviour and the puffing regimes used by machine testing protocols. The puffing behaviour observed among participants during the one-week smoking trials was significantly more intense than the puffing parameters of the ISO and Compensatory testing regimes. When cigarette brands were machine tested using participants? actual puffing behaviour, the results suggest that participants ingested two to four times the level of tar, nicotine, and carbon monoxide indicated by the ISO regime, and twice the amounts generated by the Compensatory regime for ?regular-yield? brands. The Canadian and Massachusetts regimes produced yields much closer to the ?Human Mimic? yields, although nowhere near a maximum or intense standard, as they were designed to do. Only the nicotine yields from the Human Mimic regime were correlated with measures of nicotine uptake among smokers, and only moderately so (Part r = . 31, p=. 02).
Self-report measures of puffing behaviour collected during the field study were moderately correlated with physiological measures of puffing and exposure. Self-report measures of puff depth and puff number showed some promise as predictors of salivary cotinine, although the results are characterized by inconsistencies across models. The self-report measures included in the ITC survey were only weakly associated with age and cigarettes per day, with modest between-country differences.
Overall, this research highlights the importance of puffing behaviour as a determinant of smoke exposure, and provides strong evidence of compensatory smoking for ?low-yield? brands. The findings also highlight the variability in human smoking behaviour and the limitations associated with machine testing protocols. Perhaps most important, the findings underscore the immediate need to revise the ISO protocol, which systematically underestimates smoking behaviour among humans and exaggerates differences between cigarette brands.
Jebara, Tony (Tony S. ). 1974. "Action-reaction learning : analysis and synthesis of human behaviour." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/29544.
Повний текст джерелаBorg, Jacqueline. "Molecular imaging of the serotonin system in human behaviour /." Stockholm, 2007. http://diss.kib.ki.se/2007/978-91-7357-134-0/.
Повний текст джерелаWright, James Robert. "Beyond equilibrium : predicting human behaviour in normal form games." Thesis, University of British Columbia, 2010. http://hdl.handle.net/2429/22506.
Повний текст джерелаRoberts, Samuel George Bradley. "Hiding behaviour and social sensitivity in non-human primates." Thesis, University of Sussex, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.406616.
Повний текст джерелаBarnes, Dermot. "Schedules of reinforcement and human behaviour : a contextualistic perspective." Thesis, University of Ulster, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.292805.
Повний текст джерелаD'Souza, Antonia Danila Clara. "Assessing evolutionary explanations of human behaviour using visual cognition." Thesis, University of Essex, 2018. http://repository.essex.ac.uk/22465/.
Повний текст джерелаGrindle, Mark. "The power of digital storytelling to influence human behaviour." Thesis, University of Stirling, 2014. http://hdl.handle.net/1893/21800.
Повний текст джерелаShen, Qiming. "Motor interference and behaviour adaptation in human-humanoid interactions." Thesis, University of Hertfordshire, 2013. http://hdl.handle.net/2299/10313.
Повний текст джерелаWatson, Benjamin W. "Towards an understanding of human behaviour for design action." Thesis, Loughborough University, 2011. https://dspace.lboro.ac.uk/2134/10169.
Повний текст джерелаTownsend, J. S. "Algorithms for multi-modal human movement and behaviour monitoring." Thesis, Nottingham Trent University, 2011. http://irep.ntu.ac.uk/id/eprint/136/.
Повний текст джерелаHowells, James Anthony. "Biophysical Determinants of the Behaviour of Human Myelinated Axons." Thesis, The University of Sydney, 2013. http://hdl.handle.net/2123/10268.
Повний текст джерелаChaaraoui, Alexandros Andre. "Vision-based Recognition of Human Behaviour for Intelligent Environments." Doctoral thesis, Universidad de Alicante, 2014. http://hdl.handle.net/10045/36395.
Повний текст джерелаLICIOTTI, Daniele. "Human Behaviour Understanding using Top-View RGB-D Data." Doctoral thesis, Università Politecnica delle Marche, 2018. http://hdl.handle.net/11566/252901.
Повний текст джерелаThe capability of automatically detecting people and understanding their behaviours is an important functionality of intelligent video systems. The interest in behaviour understanding has effectively increased in recent years, motivated by a societal needs. This thesis is focused on the development of algorithms and solutions for different environments exploiting top-view RGB-D data. In particular, the addressed topics refer to HBU in different research areas. The first goal is to implement people detection algorithms in order to monitor the people activities. To this aim, a thorough study of the state of the art has been conducted to identify the advantages and weakness. An initial approach, proposed in this thesis, is based on CV techniques, it regards the extraction the head of each person using depth data. Another approach is based on deep learning and is proposed to simplify the heads detection implementation in chaotic environments and in the presence of people with different heights. These solutions are validated with a specific dataset. The second goal is to extract several feature from subject and to identify possible interactions that they have with the surrounding environment. Finally, in order to demonstrate the actual contribution of algorithms for understanding the human behaviour in different environments, several use cases have been realized and tested.
Ohman, Anna Maria Caroline <1980>. "Human bone: the tissue characteristics determining its mechanical behaviour." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2011. http://amsdottorato.unibo.it/3784/1/Ohman_Anna_Maria_Caroline_tesi.pdf.
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