Tesis sobre el tema "Reconnaissance de l'état affectif"
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Ouzar, Yassine. "Reconnaissance automatique sans contact de l'état affectif de la personne par fusion physio-visuelle à partir de vidéo du visage". Electronic Thesis or Diss., Université de Lorraine, 2023. http://www.theses.fr/2023LORR0076.
Texto completoHuman affective state recognition remains a challenging topic due to the complexity of emotions, which involves experiential, behavioral, and physiological elements. Since it is difficult to comprehensively describe emotion in terms of single modalities, recent studies have focused on artificial intelligence approaches and fusion strategy to exploit the complementarity of multimodal signals using artificial intelligence approaches. The main objective is to study the feasibility of a physio-visual fusion for the recognition of the affective state of the person (emotions/stress) from facial videos. The fusion of facial expressions and physiological signals allows to take advantage of each modality. Facial expressions are easy to acquire and provide an external view of the affective state, while physiological signals improve reliability and address the problem of falsified facial expressions. The research developed in this thesis lies at the intersection of artificial intelligence, affective computing, and biomedical engineering. Our contribution focuses on two points. First, we propose a new end-to-end approach for instantaneous pulse rate estimation directly from facial video recordings using the principle of imaging photoplethysmography (iPPG). This method is based on a deep spatio-temporal network (X-iPPGNet) that learns the iPPG concept from scratch, without incorporating prior knowledge or going through manual iPPG signal extraction. The second contribution focuses on a physio-visual fusion for spontaneous emotions and stress recognition from facial videos. The proposed model includes two pipelines to extract the features of each modality. The physiological pipeline is common to both the emotion and stress recognition systems. It is based on MTTS-CAN, a recent method for estimating the iPPG signal, while two distinct neural models were used to predict the person's emotions and stress from the visual information contained in the video (e.g. facial expressions): a spatio-temporal network combining the Squeeze-Excitation module and the Xception architecture for estimating the emotional state and a transfer learning approach for estimating the stress level. This approach reduces development effort and overcomes the lack of data. A fusion of physiological and facial features is then performed to predict the emotional or stress states
Jain, Varun. "Visual Observation of Human Emotions". Thesis, Université Grenoble Alpes (ComUE), 2015. http://www.theses.fr/2015GRENM006/document.
Texto completoIn this thesis we focus on the development of methods and techniques to infer affect from visual information. We focus on facial expression analysis since the face is one of the least occluded parts of the body and facial expressions are one of the most visible manifestations of affect. We explore the different psychological theories on affect and emotion, different ways to represent and classify emotions and the relationship between facial expressions and underlying emotions. We present the use of multiscale Gaussian derivatives as an image descriptor for head pose estimation, smile detection before using it for affect sensing. Principal Component Analysis is used for dimensionality reduction while Support Vector Machines are used for classification and regression. We are able to employ the same, simple and effective architecture for head pose estimation, smile detection and affect sensing. We also demonstrate that not only do multiscale Gaussian derivatives perform better than the popular Gabor Filters but are also computationally less expensive to compute. While performing these experiments we discovered that multiscale Gaussian derivatives do not provide an appropriately discriminative image description when the face is only partly illuminated. We overcome this problem by combining Gaussian derivatives with Local Binary Pattern (LBP) histograms. This combination helps us achieve state-of-the-art results for smile detection on the benchmark GENKI database which contains images of people in the "wild" collected from the internet. We use the same description method for face recognition on the CMU-PIE database and the challenging extended YaleB database and our results compare well with the state-of-the-art. In the case of face recognition we use metric learning for classification, adopting the Minkowski distance as the similarity measure. We find that L1 and L2 norms are not always the optimum distance metrics and the optimum is often an Lp norm where p is not an integer. Lastly we develop a multi-modal system for depression estimation with audio and video information as input. We use Local Binary Patterns -Three Orthogonal Planes (LBP-TOP) features to capture intra-facial movements in the videos and dense trajectories for macro movements such as the movement of the head and shoulders. These video features along with Low Level Descriptor (LLD) audio features are encoded using Fisher Vectors and finally a Support Vector Machine is used for regression. We discover that the LBP-TOP features encoded with Fisher Vectors alone are enough to outperform the baseline method on the Audio Visual Emotion Challenge (AVEC) 2014 database. We thereby present an effective technique for depression estimation which can be easily extended for other slowly varying aspects of emotions such as mood
Collange, Julie. "Menace du soi et expression des préjugés : influence de l'état affectif et du groupe d'appartenance de la cible". Paris 5, 2006. http://www.theses.fr/2006PA05H044.
Texto completoIn this work, we explored the influence of two factors on the existing link between self-threat and the derogation of a stereotyped target (Fein & Spencer, 1997): (1) affective state and (2) the group to which the target belongs to. On the one hand, assuming that self-threat leads to a negative self-relevant affective state; our aim was to show that this affective state could be a complementary explanation to the motivational one. So, firstly, we have tested the impact of such affective state on the stereotyped target perception. Secondly, we investigated the potential mediating role of self-conscious emotions (as consequence ofself-threat) in person perception. On the other hand, our second goal was to show that flot ail stereotyped target, according their stereotype content, would facilitate people’s seif-enhancement goal, and thus, would be derogated following self-threat
Gobin, Paméla. "Propagation de l’activation entre le lexique orthographique et le système affectif". Thesis, Bordeaux 2, 2011. http://www.theses.fr/2011BOR21821/document.
Texto completoThe aim of this thesis was to study the activation of the affective system mediated by the orthographic lexicon during visual word recognition. More precisely, we have investigated the influence of the negative emotional orthographic neighbourhood and the sensitivity of orthographic priming to the negative valence of higher-frequency neighbours in the lexical decision task (LDT) combined with a priming paradigm. The recording of behavioural and electrophysiological (event-related brain potentials) measures provides also evidences on the early activation of affective components of the neighbours. Neutral words (e.g., FUSEAU [spindle], TOISON [fleece]) with one higher-frequency neighbour, that was either neutral (e.g., museau [muzzle]) or negative (e.g., poison), were presented in the LDT. They were preceded either by their neighbour or by a nonalphabetic control prime, presented 66 or 166 ms. Firstly, the emotional state of participants was controlled (Experiments 1-4). Secondly, it was manipulated a priori by a sad mood induction (Experiments 5 and 7) or determined a posteriori by considering the burnout level of participants (Experiments 7-8). The processing of negative or neutral frequent words have been also examined (Experiment 6). The results showed an inhibitory effect of negative emotional orthographic neighbourhood on target recognition time and an inhibitory effect of orthographic priming, increased by prime duration. Three components (P150, N200, and N400) were the electrophysiological correlates of orthographic priming effect, also depending on the negative valence of higher-frequency neighbours and prime duration. Finally, the emotional state of individuals modified the orthographic priming effect. The results are interpreted in an Interactive Activation model extended to affective processing
Jarkass, Iman. "Reconnaissance de l'état d'un système dynamique à l'aide d'un réseau de Petri crédibiliste". Compiègne, 1998. http://www.theses.fr/1998COMP1136.
Texto completoRapp, Vincent. "Analyse du visage pour l'interprétation de l'état émotionnel". Paris 6, 2013. http://www.theses.fr/2013PA066345.
Texto completoThis thesis addresses the problem of face analysis for human affect prediction from images or sequences. Two main topics are investigated : facial landmark localization and face analysis for affect prediction. We first propose MuKAM (\textit{Multi-Kernel Appearance Model}), an automatic facial salient points detector (e. G. , eye and mouth corners, nose and chin tips). The first part of this system is an independent facial features detector based on two stages. The first stage quickly locates, for each sought point, a set of candidate locations. To represent the face, we use multi-scale features combined using multiple kernel learning for Support Vector Machine. The second stage employs higher level features and a non-linear kernel to estimate the candidate likelihoods. Moreover, we improve system robustness by introducing constraints between points. To introduce these constraints, we propose an alignment process step relying on a deformable model fitting: according to probabilities obtained at the end of the second stage, we want to find the set of parameters that best fit the model on the face. Extensive experiments have been carried out on different databases, assessing the accuracy and the robustness of the proposed approach. The second part of the thesis is dedicated to face analysis for human affect prediction. To this end, we propose two systems. The first one aims at detecting facial micro-movements, named Action Units (AU), occurring during a facial expression. To represent the face, we use heterogeneous features, characterizing its appearance and its shape, combined using multiple kernel learning. The second system aims at predicting human affect during an interaction thought a subjective and continuous representation of emotion (in terms of valence, arousal, expectancy and power). Dynamical descriptors are extracted from different cues (shape, global and local appearance, audio), and are associated to kernel regressions to obtain several independent predictions. These predictions are then fused to obtain a final prediction per dimensions. Both systems have been evaluated during international challenges (FERA'11 and AVEC'12), held in conjunction with major conferences of the field. The first place obtained in each challenge show the progress achieved in human affect prediction
Sylvestre, Alain. "L'anxiété et les comportements non-verbaux qui l'accompagnent, induction, expression et reconnaissance de l'état anxieux". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape10/PQDD_0006/NQ42282.pdf.
Texto completoFeildel, Benoît. "Espaces et projets à l'épreuve des affects : pour une reconnaissance du rapport affectif à l'espace dans les pratiques d'aménagement et d'urbanisme". Phd thesis, Université François Rabelais - Tours, 2010. http://tel.archives-ouvertes.fr/tel-00537920.
Texto completoProvin, Emmanuel. ""Les pouvoirs du maire en tant qu'officier de l'état civil" : la reconnaissance de l'individu par l'Etat". Paris 10, 2007. http://www.theses.fr/2007PA100005.
Texto completoThe mayor in the capacity as registrar, takes part in the emergence of the individual as one member of the community. He provides him representation by receiving the voice of a third-party or interested self which he applies in writing in an act to guarantee compliance with this one. The acts of marital status thus establish the three stages of the life of a person: its birth, its marriage and its death. The statings which they contain aim at establishing the truth which touches on the identification of the named person. However, they can be questionned by the interested party himself. The role of the mayor on the necessary matter is to adapt. Whereas his action holds of the law, he knew to interpret it, even to anticipate it to answer expectations of its electorate. Today, he questions himself the principle of recognition of the individual while refusing to marry nonnationals or while claiming to marry same-sex individuals
Picard, Kelly. "La responsabilité de l'État du fait du préjudice historique : réflexion sur la possible reconnaissance d'un dommage constitutionnel". Thesis, Aix-Marseille, 2017. http://www.theses.fr/2017AIXM0531.
Texto completoCan historical facts, several decades after their occurrence, lead to the recognition of an injurious situation, giving rise to a specific form of legal accountability? This doctoral study is set up at the crossroads of constitutional and transitional justice. These latter can be defined as the set of mechanisms seeking to achieve justice after times of massive violence including responsibility, reparations and the recognition of truth. This doctoral study asserts that the failure of justice in the aftermath of extreme violence and mass crimes is likely to generate a specific “historical wrong”. It reveals the necessity to recognize a legal and judicial accountability resulting from an historical wrong. However, the exceptional nature of extreme violence acts generates “extra-ordinary” prejudices, creating a need for the implementation of specific mechanisms beyond the ordinary ones. This thesis will therefore explore the notion of “constitutional damage” as a potential basis to the accountability resulting from historical wrong. Thus, this dissertation exposes a larger issue on the helplessness of the law outside its traditional ordinary mechanisms and on the need to go beyond its limits. It also seeks means to answer and deal with a social reality from which the law would otherwise remain distanced
Gavrancic, Ana. "La reconnaissance et l'engagement au travail : examen du rôle modérateur de l'estime de soi". Thèse, Université de Sherbrooke, 2013. http://hdl.handle.net/11143/6460.
Texto completoDemongodin, Lionel. "Reconnaissance de l'état thermique des bassins sédimentaires : transferts de chaleur par conduction et convection : application au Bassin de Paris". Montpellier 2, 1992. http://www.theses.fr/1992MON20142.
Texto completoRoy, Ingride. "La reconnaissance du "droit de participation" des minorities à la "vie de l'État": Évolution du droit international et pratique des États". Thesis, University of Ottawa (Canada), 2005. http://hdl.handle.net/10393/29254.
Texto completoMorette, Nathalie. "Mesure et analyse par apprentissage artificiel des décharges partielles sous haute tension continue pour la reconnaissance de l'état de dégradation des isolants électriques". Electronic Thesis or Diss., Sorbonne université, 2020. http://www.theses.fr/2020SORUS006.
Texto completoPartial discharges (PD) are one of the key drivers of degradation and ageing of insulating materials used in high-voltage switchgear. Consequently, partial discharges measurement has become an essential assessment tool for the monitoring of insulation systems. Given the continuing growth of renewable energy, the transport under direct current (DC) is economically advantageous. However, the relationship between partial discharges characteristics and the degradation of cables insulation under high voltage direct current (HVDC) remains unclear. In this work, a methodology is proposed for ageing state recognition of electrical insulation systems based on PD measurements under DC. For this purpose, original measuring devices have been developed and PD measurements were performed within different cable types under HVDC. In order to ensure a reliable monitoring and diagnosis of the insulation, noise signals must be eliminated. This thesis tackles the problem of the discrimination of partial discharge and noise signals acquired in different environments by applying machine learning methods. The techniques developed are a promising tool to improve the diagnosis of HV equipment under HVDC, where the need to discard automatically noise signals with high accuracy is of great importance. Once disturbances were eliminated from the databases, ageing state recognition was performed on different cable types. The feature extraction, ranking and selection methods, combined with classification techniques allowed to obtain recognition rates up to 100%
Becq, Guillaume. "Contribution au développement d'un système portable automatique d'aide à la détermination de l'état d'urgence d'un blessé polytraumatisé". Phd thesis, Université Joseph Fourier (Grenoble), 2004. http://www.theses.fr/2004GRE10199.
Texto completoThis dissertation describes and evaluates the complete information processing chain proposed to score the health state of a trauma patient. The hypothesis is that the state can be observed in a representative space of features obtained from wearable sensors. During the polytraumatism, the state evolves in various regions corresponding to classes of hemorrhagic shock. These regions are supposed to be independent between individuals. The aim of the study is to recognize these regions. For that, a supervised learning heuristic is proposed and try to find the minimum dimension by feature subset selection (for a minimization of sensors). An animal model of swine enduring controlled continuous blood loss was elaborated. Features were extracted and proposed to an expert for scoring. Supervised leaming was realized in a first time in astate space and in a second time in a phase space by evaluating the benefit of dynamical information
Yang, Wenlu. "Personalized physiological-based emotion recognition and implementation on hardware". Thesis, Sorbonne université, 2018. http://www.theses.fr/2018SORUS064.
Texto completoThis thesis investigates physiological-based emotion recognition in a digital game context and the feasibility of implementing the model on an embedded system. The following chanllenges are addressed: the relationship between emotional states and physiological responses in the game context, individual variabilities of the pschophysiological responses and issues of implementation on an embedded system. The major contributions of this thesis are : Firstly, we construct a multi-modal Database for Affective Gaming (DAG). This database contains multiple measurements concerning objective modalities: physiological signals (ECG, EDA, EMG, Respiration), screen recording, and player's face recording, as well as subjective assessments on both game event and match level. We presented statistics of the database and run a series of analysis on issues such as emotional moment detection and emotion classification, influencing factors of the overall game experience using various machine learning methods. Secondly, we investigate the individual variability in the collected data by creating an user-specific model and analyzing the optimal feature set for each individual. We proposed a personalized group-based model created the similar user groups by using the clustering techniques based on physiological traits deduced from optimal feature set. We showed that the proposed personalized group-based model performs better than the general model and user-specific model. Thirdly, we implemente the proposed method on an ARM A9 system and showed that the proposed method can meet the requirement of computation time
Grandeury, Arnaud. "Complexes supramoléculaires cristallisés chiraux de type hôte-invité avec des cyclodextrines perméthylées : Extension à la complexation d'un inhibiteur enzymatique". Rouen, 2004. http://www.theses.fr/2004ROUES044.
Texto completoThese studies are devoted to the understanding of the fine mechanisms during the association of supramolecular host-guest complexes. An original, systematic, and multidisciplinary methodology led to an improved determination of the factors involved in the molecular recognition and the stereoselective complexation. The guest molecules have been chosen as an homologous series, and made it possible to study the influence of one molecular parameter on the inclusion geometries and stackings. The first part of this work relates the study of the stereoselectivity, inclusion geometry and crystallization behaviour of supramolecular complexes formed between halogeneous derivatives of phenylethanol (guest) and permethylated -ß-cyclodextrin (host). The study of these compounds highlighted the possibility to resolve racemic mixtures at a preparativescale by means of crystallization processes. The crystal structure determinations by X-ray diffraction made it possible to partially rationalize the possibilities or the limitations of such an approach. A second part uses the knowledge and know-how acquired to consider the formation of complexes with (Z,Z)-BABCH (synthetic enzymatic inhibitor), with the aim of increasing its photochemical stability, and of developing an efficient method in order to isolate this molecule from its isomers. An original approach using of inclusion complexes in a reaction carried out without solvent gave access to the (Z,E) a,ß unsaturated cycloalkone. Another way involved the use of tailor-made salts in order to extract selectively the (Z,Z) compound
Cook, Mathieu. "Les droits ancestraux des Innus : reconnaissance et contestation : analyse des discours sur l'altérité déployés lors d'une controverse à propos de négociations territoriales". Doctoral thesis, Université Laval, 2016. http://hdl.handle.net/20.500.11794/27422.
Texto completoYang, Wenlu. "Personalized physiological-based emotion recognition and implementation on hardware". Electronic Thesis or Diss., Sorbonne université, 2018. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2018SORUS064.pdf.
Texto completoThis thesis investigates physiological-based emotion recognition in a digital game context and the feasibility of implementing the model on an embedded system. The following chanllenges are addressed: the relationship between emotional states and physiological responses in the game context, individual variabilities of the pschophysiological responses and issues of implementation on an embedded system. The major contributions of this thesis are : Firstly, we construct a multi-modal Database for Affective Gaming (DAG). This database contains multiple measurements concerning objective modalities: physiological signals (ECG, EDA, EMG, Respiration), screen recording, and player's face recording, as well as subjective assessments on both game event and match level. We presented statistics of the database and run a series of analysis on issues such as emotional moment detection and emotion classification, influencing factors of the overall game experience using various machine learning methods. Secondly, we investigate the individual variability in the collected data by creating an user-specific model and analyzing the optimal feature set for each individual. We proposed a personalized group-based model created the similar user groups by using the clustering techniques based on physiological traits deduced from optimal feature set. We showed that the proposed personalized group-based model performs better than the general model and user-specific model. Thirdly, we implemente the proposed method on an ARM A9 system and showed that the proposed method can meet the requirement of computation time
El-Hajjami, Hassan. "Application de la théorie des sous-ensembles flous pour le développement d'un algorithme de classification séquentielle non supervisée et non paramétrique pour le suivi en temps réel de l'évolution de l'état d'une structure soumise à des sollicitations extérieures". Compiègne, 1991. http://www.theses.fr/1991COMPE093.
Texto completoIshak, Dany. "La conception d'un système ultrasonore passif couche mince pour l'évaluation de l'état vibratoire des cordes vocales". Thesis, Valenciennes, 2017. http://www.theses.fr/2017VALE0043/document.
Texto completoIn this work, a speaker recognition approach using a contact microphone is developed and presented. The contact passive element is constructed from a piezoelectric material. In this context, the position of the piezoelectric transducer on the individual’s neck may greatly affect the quality of the collected signal and consequently the information extracted from it. Thus, the multilayered medium in which the sound propagates before being detected by the transducer is modeled. The best location on the individual’ neck to place a particular transducer element is determined by implementing Monte Carlo simulation techniques and consequently, the simulation results are verified using real experiments. The recognition is based on the signal generated from the vocal cords’ vibrations when an individual is speaking and not on the vocal signal at the output of the lips that is influenced by the resonances in the vocal tract. Therefore, due to the varying nature of the collected signal, the analysis was performed by applying the Short Term Fourier Transform technique to decompose the signal into its frequency components. These frequencies represent the vocal folds’ vibrations (50-1000 Hz). The features in terms of frequencies’ interval are extracted from the resulting spectrogram. Then, a 1-D vector is formed for identification purposes. The identification of the speaker is performed using two evaluation criteria, namely, the correlation similarity measure and the Principal Component Analysis (PCA) in conjunction with the Euclidean distance. The results show that a high percentage of recognition is achieved and the performance is much better than many existing techniques in the literature
Bernard, Virginie. "Quand l'Etat se mêle de la "tradition" : la lutte des Noongars du Sud-Ouest australien pour leur reconnaissance". Thesis, Paris Sciences et Lettres (ComUE), 2018. http://www.theses.fr/2018PSLEH053.
Texto completoThis thesis seeks to account for the responses that the Noongar Aborigines from the South West of Western Australia display to the discourses of "tradition" and "modernity" that are built within institutions and by state actors, with whom they interact and to which they are in turn confronted. The study of these discourses, the conditions of their production and their effects makes it possible to consider the concepts of “tradition” and “modernity” as means of action and social techniques mobilised to eliminate cultural difference in the implementation of a “common becoming”.The Australian state produces its own antagonistic definitions of “tradition” and “modernity”, categories thought to be mutually exclusive. In some contexts, Noongars are expected to be “traditional”, while in others they must be “modern”. The Noongars are thus caught in a contradiction: they tend towards “modernity” to remain “traditional” and, conversely, they are kept in their “traditions” when they have to show “modernity”. In their various attempts to integrate into the Australian nation, while retaining their specificities, the Noongars are redefining their “cultural identity”. For this, they appropriate, challenge, negotiate the image of the Aboriginality presented to them and shape their own contemporary identity, without radically opposing the national myth of Aboriginality.By analysing the various processes by which the Noongar Aborigines claim their recognition and attempt to acquire a degree of sovereignty within a nation-state, this thesis enriches reflections on Indigeneity as a political and contingent category. It is about addressing indigenous issues as discursive realities that need to be analysed in the particular ethnographic contexts in which they are produced and articulated
Yang, Fan. "Détection de marqueurs affectifs et attentionnels de personnes âgées en interaction avec un robot". Thesis, Université Paris-Saclay (ComUE), 2015. http://www.theses.fr/2015SACLS081/document.
Texto completoThis thesis work focuses on audio-visual detection of emotional (laugh and smile) and attentional markers for elderly people in social interaction with a robot. To effectively understand and model the pattern of behavior of very old people in the presence of a robot, relevant data are needed. I participated in the collection of a corpus of elderly people in particular for recording visual data. The system used to control the robot is a Wizard of Oz, several daily conversation scenarios were used to encourage people to interact with the robot. These scenarios were developed as part of the ROMEO2 project with the Approche association. We described at first the corpus collected which contains 27 subjects of 85 years' old on average for a total of 9 hours, annotations and we discussed the results obtained from the analysis of annotations and two questionnaires.My research then focuses on the attention detection and the laughter and smile detection. The motivations for the attention detection are to detect when the subject is not addressing to the robot and adjust the robot's behavior to the situation. After considering the difficulties related to the elderly people and the analytical results obtained by the study of the corpus annotations, we focus on the rotation of the head at the visual index and energy and quality vote for the detection of the speech recipient. The laughter and smile detection can be used to study on the profile of the speaker and her emotions. My interests focus on laughter and smile detection in the visual modality and the fusion of audio-visual information to improve the performance of the automatic system. Spontaneous expressions are different from posed or acted expression in both appearance and timing. Designing a system that works on realistic data of the elderly is even more difficult because of several difficulties to consider such as the lack data for training the statistical model, the influence of the facial texture and the smiling pattern for visual detection, the influence of voice quality for auditory detection, the variety of reaction time, the level of listening comprehension, loss of sight for elderly people, etc. The systems of head-turning detection, attention detection and laughter and smile detection are evaluated on ROMEO2 corpus and partially evaluated (visual detections) on standard corpus Pointing04 and GENKI-4K to compare with the scores of the methods on the state of the art. We also found a negative correlation between laughter and smile detection performance and the number of laughter and smile events for the visual detection system and the audio-visual system. This phenomenon can be explained by the fact that elderly people who are more interested in experimentation laugh more often and therefore perform more various poses. The variety of poses and the lack of corresponding data bring difficulties for the laughter and smile recognition for our statistical systems. The experiments show that the head-turning can be effectively used to detect the loss of the subject's attention in the interaction with the robot. For the attention detection, the potential of a cascade method using both methods in a complementary manner is shown. This method gives better results than the audio system. For the laughter and smile detection, under the same leave-one-out protocol, the fusion of the two monomodal systems significantly improves the performance of the system at the segmental evaluation
Robin-Hunter, Laurence. "Géopolitique de la Bosnie-Herzégovine". Thesis, Paris 4, 2015. http://www.theses.fr/2015PA040085.
Texto completoThe Republic of Bosnia and Herzegovina in March 1992 chose to declare independence rather than stay in Yugoslavia. A month later, the European Community recognized the independence of Bosnia. However, since this recognition, the future of Bosnia as an independent and sovereign State continues to be threatened. Through five parts and seventeen chapters, this thesis discusses the factors threatening the sustainability of the Bosnian state. First, it reveals that the genesis of the Bosnian territory and its communities has not facilitated the development of a common civic identity for all ethno-national groups in Bosnia. Then this thesis allows us to comprehend the process of independence of Bosnia and understand that upon recognition of this state, there was no collective will to belong to the same state within the Bosnian population. Third, this thesis shows that the new Bosnian national space has not produced a single political territory transcending ethno-national differences in the Bosnian communities. Fourth, it discusses the factors both endogenous and exogenous threatening the unity and sovereignty of Bosnia in its own territory. Finally, the last part, on the Brčko District, allows us to understand better, with detailed examples, the link between the Bosnian territory and its communities. In summary, thisthesis suggests that the Bosnian territory in the course of history has been the preferred mode of "ghettoization" of Bosnian cultures, instead of transcending cultural differences between Bosnian communities
Fu, Yang. "Reconnaissance de l'émotion thermique". Thèse, 2017. http://hdl.handle.net/1866/19371.
Texto completoTo improve computer-human interactions in the areas of healthcare, e-learning and video games, many researchers have studied on recognizing emotions from text, speech, facial expressions, emotion detection, or electroencephalography (EEG) signals. Among them, emotion recognition using EEG has achieved satisfying accuracy. However, wearing electroencephalography devices limits the range of user movement, thus a noninvasive method is required to facilitate the emotion detection and its applications. That’s why we proposed using thermal camera to capture the skin temperature changes and then applying machine learning algorithms to classify emotion changes accordingly. This thesis contains two studies on thermal emotion detection with the comparison of EEG-base emotion detection. One was to find out the thermal emotional detection profiles comparing with EEG-based emotion detection technology; the other was to implement an application with deep machine learning algorithms to visually display both thermal and EEG based emotion detection accuracy and performance. In the first research, we applied HMM in thermal emotion recognition, and after comparing with EEG-base emotion detection, we identified skin temperature emotion-related features in terms of intensity and rapidity. In the second research, we implemented an emotion detection application supporting both thermal emotion detection and EEG-based emotion detection with applying the deep machine learning methods – Convolutional Neutral Network (CNN) and LSTM (Long- Short Term Memory). The accuracy of thermal image based emotion detection achieved 52.59% and the accuracy of EEG based detection achieved 67.05%. In further study, we will do more research on adjusting machine learning algorithms to improve the thermal emotion detection precision.
Paniagua, Humeres Roxana. ""Nous voulons être visibles" : l'importance du problème de la reconnaissance des autochtones pour la viabilité de l'État bolivien". Thèse, 2013. http://www.archipel.uqam.ca/5510/1/D2529.pdf.
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