Literatura académica sobre el tema "Affective state recognition"
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Artículos de revistas sobre el tema "Affective state recognition"
Murali Krishna, P., R. Pradeep Reddy, Veena Narayanan, S. Lalitha y Deepa Gupta. "Affective state recognition using audio cues". Journal of Intelligent & Fuzzy Systems 36, n.º 3 (26 de marzo de 2019): 2147–54. http://dx.doi.org/10.3233/jifs-169926.
Texto completoBlanco, M. J., F. Valle-Inclán y J. Lamas. "Affective state dependence in a recognition task". Revista de Psicología Social 1, n.º 1 (enero de 1986): 79–82. http://dx.doi.org/10.1080/02134748.1986.10821545.
Texto completoNeethirajan, Suresh. "Affective State Recognition in Livestock—Artificial Intelligence Approaches". Animals 12, n.º 6 (17 de marzo de 2022): 759. http://dx.doi.org/10.3390/ani12060759.
Texto completoChen, Zhimin y David Whitney. "Tracking the affective state of unseen persons". Proceedings of the National Academy of Sciences 116, n.º 15 (27 de febrero de 2019): 7559–64. http://dx.doi.org/10.1073/pnas.1812250116.
Texto completoM. M. Al Qudah, Mustafa, Ahmad S. A. Mohamed y Syaheerah L. Lutfi. "Affective State Recognition Using Thermal-Based Imaging: A Survey". Computer Systems Science and Engineering 37, n.º 1 (2021): 47–62. http://dx.doi.org/10.32604/csse.2021.015222.
Texto completoMeng, Hongying y Nadia Bianchi-Berthouze. "Affective State Level Recognition in Naturalistic Facial and Vocal Expressions". IEEE Transactions on Cybernetics 44, n.º 3 (marzo de 2014): 315–28. http://dx.doi.org/10.1109/tcyb.2013.2253768.
Texto completoAb. Aziz, Nor Azlina, Tawsif K., Sharifah Noor Masidayu Sayed Ismail, Muhammad Anas Hasnul, Kamarulzaman Ab. Aziz, Siti Zainab Ibrahim, Azlan Abd. Aziz y J. Emerson Raja. "Asian Affective and Emotional State (A2ES) Dataset of ECG and PPG for Affective Computing Research". Algorithms 16, n.º 3 (27 de febrero de 2023): 130. http://dx.doi.org/10.3390/a16030130.
Texto completoMavromoustakos Blom, Paris, Sander Bakkes, Chek Tan, Shimon Whiteson, Diederik Roijers, Roberto Valenti y Theo Gevers. "Towards Personalised Gaming via Facial Expression Recognition". Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 10, n.º 1 (29 de junio de 2021): 30–36. http://dx.doi.org/10.1609/aiide.v10i1.12707.
Texto completoErle, Thorsten M. y Friederike Funk. "Visuospatial and Affective Perspective-Taking". Social Psychology 53, n.º 5 (septiembre de 2022): 315–26. http://dx.doi.org/10.1027/1864-9335/a000504.
Texto completoSchmidt, Philip, Attila Reiss, Robert Dürichen y Kristof Van Laerhoven. "Wearable-Based Affect Recognition—A Review". Sensors 19, n.º 19 (20 de septiembre de 2019): 4079. http://dx.doi.org/10.3390/s19194079.
Texto completoTesis sobre el tema "Affective state recognition"
Adumata, Kofi Agyemang. "Analysis of Affective State as Covariate in Human Gait Identification". ScholarWorks, 2017. https://scholarworks.waldenu.edu/dissertations/4584.
Texto completoIshimaru, Shoya [Verfasser] y Andreas [Akademischer Betreuer] Dengel. "Meta-Augmented Human: From Physical to Cognitive Towards Affective State Recognition / Shoya Ishimaru ; Betreuer: Andreas Dengel". Kaiserslautern : Technische Universität Kaiserslautern, 2020. http://d-nb.info/120869460X/34.
Texto completoOuzar, 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
Almeida, Elisete Sileny Jacinto de. "Parentesco Socioafetivo: possíveis contributos do Direito brasileiro para um novo paradigma no Direito português". Doctoral thesis, 2019. http://hdl.handle.net/10316/87408.
Texto completo“Giving birth is pain, raising a child is love”. It's an ancient and very spoken portuguese maxim, both in Brazil and in Portugal. However, not always the one who gives birth a child, raises it, being this task on account of third ones that assumes the child as a truthful son or daughter. With the time, an affection bond developes betweeen child and the adopted family, but this bond even when shown through the possession of son's state, in other words, of the name, of the treatment and of the fame, not always it is recognized by the Law. Since the historical antiquity, there are cases of left children or children who were handed to third ones, in overcast way, and they are raised by these persons as if they were his children themselves. But, except for adoption cases, the foster children would have no legal recognition, only their status - free or slave - could vary. Until a little time ago, to raise a child, who was not a natural one, it would take place by the whose exclusive interest would be going to raise her. Even the judicial adoption was aiming only at the will of the person who would be going to adopt the child. Today, the child reached a new social and familiar statute, not being possible any more to disregard his personal interests. In Brazil, an affection bond that developes betweeen child and the adopted family, is already recognized by the law, in spite of not always the courts will consider it. However, for now in Portugal such possibility only finds support in some jurist's comments. The affection bond has the power of including all the real affiliation relations, so much those who are establish and are developed in the blood bond, where in most of the times affection exists, like the ones that developed only in the affection itself. Differently, when the following bond is the only the blood one, it takes the risk that the person who raises a child and fulfills the parental responsabilities regarding it, be different from the one whom the child has the biological bond that rarely or never had contacted with it, inclusive with rejection to the child still in mother's belly. When the child's best interests is the main objective to be reached by the current law, certainly it becomes necessary to provide the best for the child, leaving it with whom, very much besides of the blood bonds, gives it love, takes care of it, feeds it, educates it, teachs it to be a good and honest human being, principally when the relation begins in child's tender age, in the form to guarantee a better development of the child's personality.
“Parir é dor, criar é amor”. Este é um prolóquio bastante antigo e difundido, tanto no Brasil como em Portugal. Isto porque, nem sempre a pessoa que gera uma criança é a mesma que a cria. Por vezes, tal tarefa fica por conta de terceiros, que integram a criança na família como se fosse filha natural. O tempo, que pode ser curto, faz desenvolver um laço de afeto entre o filho de criação e os pais socioafetivos, mas este vínculo, mesmo quando exteriorizado através da posse de estado de filho, ou seja, do nome, do trato e da fama, nem sempre é reconhecido pelo Direito. Desde a antiguidade histórica há casos de crianças abandonadas ou entregues de forma encoberta à terceiros, que são criadas por estas pessoas como se fossem filhas. Mas, excetuando os casos de adoção, os filhos de criação não teriam reconhecimento jurídico algum, apenas o seu status - livre ou escravo - poderia variar. Até há bem pouco tempo, criar uma criança, que não fosse filha natural, ocorreria pelo interesse exclusivo de quem criasse. Mesmo a adoção judicial visava apenas a vontade do adotante. Hoje, a criança alcançou um novo estatuto social e familiar, não sendo mais possível desconsiderar os seus interesses pessoais. No Brasil, os laços socioafetivos paterno-filiais já são reconhecidos pelo Direito, apesar de nem sempre os Tribunais os considerar. No entanto, em Portugal, por enquanto, tal possibilidade só encontra conforto em alguns comentários de juristas. O vínculo do afeto tem o poder de abranger todas as reais relações de filiação, tanto as que se estabelecem e se desenvolvem pelo vínculo sanguíneo, onde na maior parte das vezes o afeto existe, como as que se desenvolvem somente pelo próprio afeto. Diferentemente, quando o vínculo seguido é somente o do sangue, corre-se o risco de a pessoa que cria e desempenha as responsabilidades parentais em relação a criança, ser diferente da pessoa com quem a criança tenha o vínculo biológico. Muitas vezes, quem tem o vínculo biológico pouco ou nunca contata com a criança, inclusive com rejeição ainda dentro do ventre da genitora. Sendo o superior interesse da criança o principal objetivo a ser alcançado pelo atual direito no que toca às relações que envolvem criança, certamente deve-se procurar proporcionar-lhes o melhor, deixando-as com quem, muito além de laços sanguíneos, lhes dê amor, cuidado, alimentação, educação, e ensine a ser um bom ser humano, principalmente quando a relação se inicie em idade tenra, de forma a garantir um melhor desenvolvimento da personalidade.
Libros sobre el tema "Affective state recognition"
Valenza, Gaetano y Enzo Pasquale Scilingo. Autonomic Nervous System Dynamics for Mood and Emotional-State Recognition: Significant Advances in Data Acquisition, Signal Processing and Classification. Springer, 2013.
Buscar texto completoValenza, Gaetano y Enzo Pasquale Scilingo. Autonomic Nervous System Dynamics for Mood and Emotional-State Recognition: Significant Advances in Data Acquisition, Signal Processing and Classification. Springer, 2016.
Buscar texto completoValenza, Gaetano y Enzo Pasquale Scilingo. Autonomic Nervous System Dynamics for Mood and Emotional-State Recognition: Significant Advances in Data Acquisition, Signal Processing and Classification. Springer London, Limited, 2013.
Buscar texto completoAdelman, Rebecca A. Figuring Violence. Fordham University Press, 2018. http://dx.doi.org/10.5422/fordham/9780823281671.001.0001.
Texto completoFurtak, Rick Anthony. On the Emotional A Priori. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190492045.003.0005.
Texto completoCarrico, Adam W. y Michael H. Antoni. Psychoneuroimmunology and HIV. Editado por Mary Ann Cohen, Jack M. Gorman, Jeffrey M. Jacobson, Paul Volberding y Scott Letendre. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199392742.003.0021.
Texto completoSilva, Aminda De, J. A. Saunders y M. A. Stroud. Vitamin deficiencies. Editado por Patrick Davey y David Sprigings. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199568741.003.0333.
Texto completoSolomon, M. Scott. Labor Migrations and the Global Political Economy. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190846626.013.251.
Texto completoCapítulos de libros sobre el tema "Affective state recognition"
Li, Dongdong, Yingchun Yang, Zhaohi Wu y Tian Wu. "Emotion-State Conversion for Speaker Recognition". En Affective Computing and Intelligent Interaction, 403–10. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11573548_52.
Texto completoKrell, Gerald, Michael Glodek, Axel Panning, Ingo Siegert, Bernd Michaelis, Andreas Wendemuth y Friedhelm Schwenker. "Fusion of Fragmentary Classifier Decisions for Affective State Recognition". En Lecture Notes in Computer Science, 116–30. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37081-6_13.
Texto completoGlodek, Michael, Stephan Reuter, Martin Schels, Klaus Dietmayer y Friedhelm Schwenker. "Kalman Filter Based Classifier Fusion for Affective State Recognition". En Multiple Classifier Systems, 85–94. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38067-9_8.
Texto completoLin, Jen-Chun, Chung-Hsien Wu y Wen-Li Wei. "Semi-Coupled Hidden Markov Model with State-Based Alignment Strategy for Audio-Visual Emotion Recognition". En Affective Computing and Intelligent Interaction, 185–94. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24600-5_22.
Texto completoLee, Chi-Chun, Athanasios Katsamanis, Matthew P. Black, Brian R. Baucom, Panayiotis G. Georgiou y Shrikanth S. Narayanan. "Affective State Recognition in Married Couples’ Interactions Using PCA-Based Vocal Entrainment Measures with Multiple Instance Learning". En Affective Computing and Intelligent Interaction, 31–41. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24571-8_4.
Texto completoTangnimitchok, Sudarat, Nonnarit O-larnnithipong, Neeranut Ratchatanantakit y Armando Barreto. "Affective Monitor: A Process of Data Collection and Data Preprocessing for Building a Model to Classify the Affective State of a Computer User". En Human-Computer Interaction. Recognition and Interaction Technologies, 179–90. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22643-5_14.
Texto completoZhu, Egui, Qizhen Liu, Xiaoshuang Xu y Tinan Lei. "Research on Affective State Recognition in E-Learning System by Using Neural Network". En Computational Science – ICCS 2007, 575–78. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-72588-6_96.
Texto completoKhan, Masood Mehmood, Robert D. Ward y Michael Ingleby. "Automated Classification of Affective States using Facial Thermal Features". En Advances in Pattern Recognition, 138–44. London: Springer London, 2007. http://dx.doi.org/10.1007/978-1-84628-945-3_14.
Texto completoAl-Nafjan, Abeer, Manar Hosny, Yousef Al-Ohali y Areej Al-Wabil. "Recognition of Affective States via Electroencephalogram Analysis and Classification". En Intelligent Human Systems Integration, 242–48. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-73888-8_38.
Texto completoMaffiolo, Valérie, Noël Chateau y Gilles Le Chenadec. "Temporal Organization in Listeners’ Perception of the Speakers’ Emotions and Characteristics: A Way to Improve the Automatic Recognition of Emotion-Related States in Human Voice". En Affective Computing and Intelligent Interaction, 171–78. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-74889-2_16.
Texto completoActas de conferencias sobre el tema "Affective state recognition"
Drosou, Anastasios, Dimitrios Giakoumis y Dimitrios Tzovaras. "Affective state aware biometric recognition". En 2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC). IEEE, 2017. http://dx.doi.org/10.1109/ice.2017.8279940.
Texto completoReddy, R. Pradeep, P. Murali Krishna, Veena Narayanan y S. Lalitha. "Affective State Recognition using Image Cues". En 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI). IEEE, 2018. http://dx.doi.org/10.1109/icacci.2018.8554441.
Texto completoAbd Latif, M. H., H. Md. Yusof, S. N. Sidek y N. Rusli. "Thermal imaging based affective state recognition". En 2015 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS). IEEE, 2015. http://dx.doi.org/10.1109/iris.2015.7451614.
Texto completoRovinska, Svetlana y Naimul Khan. "Affective State Recognition with Convolutional Autoencoders". En 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE, 2022. http://dx.doi.org/10.1109/embc48229.2022.9871958.
Texto completoPsaltis, Athanasios, Kyriaki Kaza, Kiriakos Stefanidis, Spyridon Thermos, Konstantinos C. Apostolakis, Kosmas Dimitropoulos y Petros Daras. "Multimodal affective state recognition in serious games applications". En 2016 IEEE International Conference on Imaging Systems and Techniques (IST). IEEE, 2016. http://dx.doi.org/10.1109/ist.2016.7738265.
Texto completoLi, Kang, Xiaoyi Li, Yuan Zhang y Aidong Zhang. "Affective state recognition from EEG with deep belief networks". En 2013 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2013. http://dx.doi.org/10.1109/bibm.2013.6732507.
Texto completoCamada, Marcos Yuzuru O., Diego Stéfano, Jés J. F. Cerqueira, Antonio Marcus N. Lima, André Gustavo S. Conceição y Augusto C. P. L. da Costa. "Recognition of Affective State for Austist from Stereotyped Gestures". En 13th International Conference on Informatics in Control, Automation and Robotics. SCITEPRESS - Science and and Technology Publications, 2016. http://dx.doi.org/10.5220/0005983201970204.
Texto completoWen, Guihua, Huihui Li y Danyang Li. "An ensemble convolutional echo state networks for facial expression recognition". En 2015 International Conference on Affective Computing and Intelligent Interaction (ACII). IEEE, 2015. http://dx.doi.org/10.1109/acii.2015.7344677.
Texto completoZhang, Zhe y Goldie Nejat. "Human Affective State Recognition and Classification During Human-Robot Interaction Scenarios". En ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-87647.
Texto completoMehmood, Raja Majid, Hyung-Jeong Yang y Sun-Hee Kim. "Predictive human emotion recognition system using deep functional affective state modeling". En AISS 2019: 2019 International Conference on Advanced Information Science and System. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3373477.3373706.
Texto completoInformes sobre el tema "Affective state recognition"
Theiling, Charles. A review of algal phytoremediation potential to sequester nutrients from eutrophic surface water. Engineer Research and Development Center (U.S.), octubre de 2023. http://dx.doi.org/10.21079/11681/47720.
Texto completoSessa, Guido y Gregory Martin. A functional genomics approach to dissect resistance of tomato to bacterial spot disease. United States Department of Agriculture, enero de 2004. http://dx.doi.org/10.32747/2004.7695876.bard.
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