Relevant bibliographies by topics / Affective state recognition

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Affective state recognition'

Author: Grafiati
Published: 8 June 2024
Last updated: 31 July 2025

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Journal articles on the topic "Affective state recognition"

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Murali Krishna, P., R. Pradeep Reddy, Veena Narayanan, S. Lalitha, and Deepa Gupta. "Affective state recognition using audio cues." Journal of Intelligent & Fuzzy Systems 36, no. 3 (2019): 2147–54. http://dx.doi.org/10.3233/jifs-169926.

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Blanco, M. J., F. Valle-Inclán, and J. Lamas. "Affective state dependence in a recognition task." Revista de Psicología Social 1, no. 1 (1986): 79–82. http://dx.doi.org/10.1080/02134748.1986.10821545.

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Neethirajan, Suresh. "Affective State Recognition in Livestock—Artificial Intelligence Approaches." Animals 12, no. 6 (2022): 759. http://dx.doi.org/10.3390/ani12060759.

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Farm animals, numbering over 70 billion worldwide, are increasingly managed in large-scale, intensive farms. With both public awareness and scientific evidence growing that farm animals experience suffering, as well as affective states such as fear, frustration and distress, there is an urgent need to develop efficient and accurate methods for monitoring their welfare. At present, there are not scientifically validated ‘benchmarks’ for quantifying transient emotional (affective) states in farm animals, and no established measures of good welfare, only indicators of poor welfare, such as injury
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Chen, Zhimin, and David Whitney. "Tracking the affective state of unseen persons." Proceedings of the National Academy of Sciences 116, no. 15 (2019): 7559–64. http://dx.doi.org/10.1073/pnas.1812250116.

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Emotion recognition is an essential human ability critical for social functioning. It is widely assumed that identifying facial expression is the key to this, and models of emotion recognition have mainly focused on facial and bodily features in static, unnatural conditions. We developed a method called affective tracking to reveal and quantify the enormous contribution of visual context to affect (valence and arousal) perception. When characters’ faces and bodies were masked in silent videos, viewers inferred the affect of the invisible characters successfully and in high agreement based sole
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M. M. Al Qudah, Mustafa, Ahmad S. A. Mohamed, and Syaheerah L. Lutfi. "Affective State Recognition Using Thermal-Based Imaging: A Survey." Computer Systems Science and Engineering 37, no. 1 (2021): 47–62. http://dx.doi.org/10.32604/csse.2021.015222.

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Li, Fang, and Dan Zhang. "Transformer-Driven Affective State Recognition from Wearable Physiological Data in Everyday Contexts." Sensors 25, no. 3 (2025): 761. https://doi.org/10.3390/s25030761.

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The rapid advancement in wearable physiological measurement technology in recent years has brought affective computing closer to everyday life scenarios. Recognizing affective states in daily contexts holds significant potential for applications in human–computer interaction and psychiatry. Addressing the challenge of long-term, multi-modal physiological data in everyday settings, this study introduces a Transformer-based algorithm for affective state recognition, designed to fully exploit the temporal characteristics of signals and the interrelationships between different modalities. Utilizin
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Meng, Hongying, and Nadia Bianchi-Berthouze. "Affective State Level Recognition in Naturalistic Facial and Vocal Expressions." IEEE Transactions on Cybernetics 44, no. 3 (2014): 315–28. http://dx.doi.org/10.1109/tcyb.2013.2253768.

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Mavromoustakos Blom, Paris, Sander Bakkes, Chek Tan, et al. "Towards Personalised Gaming via Facial Expression Recognition." Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 10, no. 1 (2021): 30–36. http://dx.doi.org/10.1609/aiide.v10i1.12707.

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In this paper we propose an approach for personalising the space in which a game is played (i.e., levels) dependent on classifications of the user's facial expression — to the end of tailoring the affective game experience to the individual user. Our approach is aimed at online game personalisation, i.e., the game experience is personalised during actual play of the game. A key insight of this paper is that game personalisation techniques can leverage novel computer vision-based techniques to unobtrusively infer player experiences automatically based on facial expression analysis. Specifically
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Ab. Aziz, Nor Azlina, Tawsif K., Sharifah Noor Masidayu Sayed Ismail, et al. "Asian Affective and Emotional State (A2ES) Dataset of ECG and PPG for Affective Computing Research." Algorithms 16, no. 3 (2023): 130. http://dx.doi.org/10.3390/a16030130.

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Affective computing focuses on instilling emotion awareness in machines. This area has attracted many researchers globally. However, the lack of an affective database based on physiological signals from the Asian continent has been reported. This is an important issue for ensuring inclusiveness and avoiding bias in this field. This paper introduces an emotion recognition database, the Asian Affective and Emotional State (A2ES) dataset, for affective computing research. The database comprises electrocardiogram (ECG) and photoplethysmography (PPG) recordings from 47 Asian participants of various
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Erle, Thorsten M., and Friederike Funk. "Visuospatial and Affective Perspective-Taking." Social Psychology 53, no. 5 (2022): 315–26. http://dx.doi.org/10.1027/1864-9335/a000504.

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Abstract. Perspective-taking is the ability to intuit another person’s mental state. Historically, cognitive and affective perspective-taking are distinguished from visuospatial perspective-taking because the content these processes operate on is too dissimilar. However, all three share functional similarities. Following recent research showing relations between cognitive and visuospatial perspective-taking, this article explores links between visuospatial and affective perspective-taking. Data of three preregistered experiments suggest that visuospatial perspective-taking does not improve emo
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Dissertations / Theses on the topic "Affective state recognition"

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Adumata, Kofi Agyemang. "Analysis of Affective State as Covariate in Human Gait Identification." ScholarWorks, 2017. https://scholarworks.waldenu.edu/dissertations/4584.

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There is an increased interest in the need for a noninvasive and nonintrusive biometric identification and recognition system such as Automatic Gait Identification (AGI) due to the rise in crime rates in the US, physical assaults, and global terrorism in public places. AGI, a biometric system based on human gait, can recognize people from a distance and current literature shows that AGI has a 95.75% success rate in a closely controlled laboratory environment. Also, this success rate does not take into consideration the effect of covariate factors such as affective state (mood state); and liter
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Ishimaru, Shoya [Verfasser], and 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.

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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.

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La reconnaissance automatique de l'état affectif reste un sujet difficile en raison de la complexité des émotions / stress, qui impliquent des éléments expérientiels, comportementaux et physiologiques. Comme il est difficile de décrire l'état affectif de la personne de manière exhaustive en termes de modalités uniques, des études récentes se sont concentrées sur des stratégies de fusion afin d'exploiter la complémentarité des signaux multimodaux. L'objectif principal de cette thèse consiste à étudier la faisabilité d'une fusion physio-visuelle pour la reconnaissance automatique de l'état affec
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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.

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Tese de Doutoramento em Direito, no ramo de Direito Civil, apresentada à Faculdade de Direito da Universidade de Coimbra<br>“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
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Books on the topic "Affective state recognition"

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Valenza, Gaetano, and Enzo Pasquale Scilingo. Autonomic Nervous System Dynamics for Mood and Emotional-State Recognition: Significant Advances in Data Acquisition, Signal Processing and Classification. Springer, 2013.

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Valenza, Gaetano, and Enzo Pasquale Scilingo. Autonomic Nervous System Dynamics for Mood and Emotional-State Recognition: Significant Advances in Data Acquisition, Signal Processing and Classification. Springer, 2016.

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Valenza, Gaetano, and 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.

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Adelman, Rebecca A. Figuring Violence. Fordham University Press, 2018. http://dx.doi.org/10.5422/fordham/9780823281671.001.0001.

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Figuring Violence catalogs the affects that define the latter stages of the war on terror and the imaginative work that underpins them. These affects—apprehension, affection, admiration, gratitude, pity, and righteous anger—are far more pleasurable and durable than their predecessors. Hence, they are deeply compatible with the ambitions of a state embroiling itself in a perpetual and essentially unwinnable war. Surveying the cultural landscape of this sprawling conflict, Figuring Violence reveals the varied mechanisms by which these affects have been militarized. This book tracks their converg
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Furtak, Rick Anthony. On the Emotional A Priori. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190492045.003.0005.

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Emotions ought to be understood as an epistemically indispensable mode of experience, because they involve our living bodies in the recognition of what is meaningful within our world of concern. How it is that we have a “world of concern” in the first place, in which things are felt to be significant? Dispositional affective states serve as grounding conditions for the episodes of emotion that arise in particular contexts. Once we care about something, we are liable to have a variety of discrete emotions about it: and it is only if we have some degree of concern for something that we are liabl
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Banégas, Richard, and Armando Cutolo. ID Wars in Côte d'Ivoire. Oxford University PressOxford, 2024. http://dx.doi.org/10.1093/oso/9780192870476.001.0001.

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Abstract Identity documents provide rights to citizenship and social inclusion. They can also generate violence and conflicts. This book explores Côte d'Ivoire’s ‘ID war’ as a paradigmatic case of a citizenship crisis, centred on the access to national identity cards and certificates. Using ethnographic and historical data, it shows how the documentary struggle for citizenship has continued in the post-crisis reconstruction, affecting the new policies of identification and registration based upon biometrics and new technologies. It describes how the latter have been overturned and reframed by
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Carrico, Adam W., and Michael H. Antoni. Psychoneuroimmunology and HIV. Edited by Mary Ann Cohen, Jack M. Gorman, Jeffrey M. Jacobson, Paul Volberding, and Scott Letendre. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199392742.003.0021.

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Psychoneuroimmunology (PNI) examines the biological and behavioral pathways whereby psychosocial factors may influence the course of chronic medical conditions, including HIV/AIDS. This chapter summarizes PNI research conducted examining the possible role of negative life events (including bereavement), stress reactivity, personality factors, cognitive appraisals, and affective states (depression) in HIV illness progression. Because much of this research was conducted in the era prior to the advent of effective antiretroviral therapy, important questions remain regarding whether there the asso
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Silva, Aminda De, J. A. Saunders, and M. A. Stroud. Vitamin deficiencies. Edited by Patrick Davey and David Sprigings. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199568741.003.0333.

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Vitamins are organic compounds required by the body in small amounts to perform specific cellular functions. Nine vitamins (thiamine (vitamin B1), riboflavin (vitamin B2), pyridoxine (vitamin B6), cyanocobalamin (vitamin B12), niacin (nicotinic acid; vitamin B3), pantothenic acid (vitamin B5), biotin (vitamin B7; vitamin H), folic acid (folate; vitamin B9), and ascorbic acid (vitamin C)) are water soluble, while four (vitamins A, D, E, and K) are fat soluble. The importance of vitamins was first appreciated through recognition of their clinical deficiency state. However, this approach has led
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Solomon, M. Scott. Labor Migrations and the Global Political Economy. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190846626.013.251.

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Cross-border migration of people from one country to another has become an increasingly important feature of the globalizing world and it raises many important economic, social, and political issues. Migration is overwhelmingly from less developed to more developed countries and regions. Some of the factors affecting migration include: differences between wages for equivalent jobs; access to the benefits system of host countries plus state education, housing, and health care; and a desire to travel, build new skills and qualifications, and develop networks. On a more economic standpoint, studi
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Thomas, Andrew, ed. Aviation Security Management. Praeger, 2008. http://dx.doi.org/10.5040/9798216959083.

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Because of 9/11, there is universal recognition that aviation security is a deadly serious business. Still, around the world today, the practice of aviation security is rooted in a hodgepodge of governmental rules, industry traditions, and local idiosyncrasies. In fact, nearly seven years after the largest single attack involving the air transport industry, there remains no viable framework in place to lift aviation security practice out of the mishmash that currently exists. It is the ambitious intent of Aviation Security Management to change that. The goals of this set are nothing less than
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Book chapters on the topic "Affective state recognition"

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Li, Dongdong, Yingchun Yang, Zhaohi Wu, and Tian Wu. "Emotion-State Conversion for Speaker Recognition." In Affective Computing and Intelligent Interaction. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11573548_52.

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Krell, Gerald, Michael Glodek, Axel Panning, et al. "Fusion of Fragmentary Classifier Decisions for Affective State Recognition." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37081-6_13.

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Glodek, Michael, Stephan Reuter, Martin Schels, Klaus Dietmayer, and Friedhelm Schwenker. "Kalman Filter Based Classifier Fusion for Affective State Recognition." In Multiple Classifier Systems. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38067-9_8.

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Lin, Jen-Chun, Chung-Hsien Wu, and Wen-Li Wei. "Semi-Coupled Hidden Markov Model with State-Based Alignment Strategy for Audio-Visual Emotion Recognition." In Affective Computing and Intelligent Interaction. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24600-5_22.

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Perz, Bartosz, and Przemysław Kazienko. "Personalization of Affective State Recognition from Physiological Signals: A Review." In Communications in Computer and Information Science. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-5881-7_12.

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Lee, Chi-Chun, Athanasios Katsamanis, Matthew P. Black, Brian R. Baucom, Panayiotis G. Georgiou, and Shrikanth S. Narayanan. "Affective State Recognition in Married Couples’ Interactions Using PCA-Based Vocal Entrainment Measures with Multiple Instance Learning." In Affective Computing and Intelligent Interaction. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24571-8_4.

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Tangnimitchok, Sudarat, Nonnarit O-larnnithipong, Neeranut Ratchatanantakit, and 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." In Human-Computer Interaction. Recognition and Interaction Technologies. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22643-5_14.

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Zhu, Egui, Qizhen Liu, Xiaoshuang Xu, and Tinan Lei. "Research on Affective State Recognition in E-Learning System by Using Neural Network." In Computational Science – ICCS 2007. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-72588-6_96.

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Khan, Masood Mehmood, Robert D. Ward, and Michael Ingleby. "Automated Classification of Affective States using Facial Thermal Features." In Advances in Pattern Recognition. Springer London, 2007. http://dx.doi.org/10.1007/978-1-84628-945-3_14.

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Al-Nafjan, Abeer, Manar Hosny, Yousef Al-Ohali, and Areej Al-Wabil. "Recognition of Affective States via Electroencephalogram Analysis and Classification." In Intelligent Human Systems Integration. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-73888-8_38.

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Conference papers on the topic "Affective state recognition"

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Drosou, Anastasios, Dimitrios Giakoumis, and Dimitrios Tzovaras. "Affective state aware biometric recognition." In 2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC). IEEE, 2017. http://dx.doi.org/10.1109/ice.2017.8279940.

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Reddy, R. Pradeep, P. Murali Krishna, Veena Narayanan, and S. Lalitha. "Affective State Recognition using Image Cues." In 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI). IEEE, 2018. http://dx.doi.org/10.1109/icacci.2018.8554441.

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Abd Latif, M. H., H. Md. Yusof, S. N. Sidek, and N. Rusli. "Thermal imaging based affective state recognition." In 2015 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS). IEEE, 2015. http://dx.doi.org/10.1109/iris.2015.7451614.

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Rovinska, Svetlana, and Naimul Khan. "Affective State Recognition with Convolutional Autoencoders." In 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.

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Psaltis, Athanasios, Kyriaki Kaza, Kiriakos Stefanidis, et al. "Multimodal affective state recognition in serious games applications." In 2016 IEEE International Conference on Imaging Systems and Techniques (IST). IEEE, 2016. http://dx.doi.org/10.1109/ist.2016.7738265.

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Li, Kang, Xiaoyi Li, Yuan Zhang, and Aidong Zhang. "Affective state recognition from EEG with deep belief networks." In 2013 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2013. http://dx.doi.org/10.1109/bibm.2013.6732507.

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Camada, Marcos Yuzuru O., Diego Stéfano, Jés J. F. Cerqueira, Antonio Marcus N. Lima, André Gustavo S. Conceição, and Augusto C. P. L. da Costa. "Recognition of Affective State for Austist from Stereotyped Gestures." In 13th International Conference on Informatics in Control, Automation and Robotics. SCITEPRESS - Science and and Technology Publications, 2016. http://dx.doi.org/10.5220/0005983201970204.

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Wen, Guihua, Huihui Li, and Danyang Li. "An ensemble convolutional echo state networks for facial expression recognition." In 2015 International Conference on Affective Computing and Intelligent Interaction (ACII). IEEE, 2015. http://dx.doi.org/10.1109/acii.2015.7344677.

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Zhang, Zhe, and Goldie Nejat. "Human Affective State Recognition and Classification During Human-Robot Interaction Scenarios." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-87647.

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A new novel breed of robots known as socially assistive robots is emerging. These robots are capable of providing assistance to individuals through social and cognitive interaction. The development of socially assistive robots for health care applications can provide measurable improvements in patient safety, quality of care, and operational efficiencies by playing an increasingly important role in patient care in the fast pace of crowded clinics, hospitals and nursing/veterans homes. However, there are a number of research issues that need to be addressed in order to design such robots. In th
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Mehmood, Raja Majid, Hyung-Jeong Yang, and Sun-Hee Kim. "Predictive human emotion recognition system using deep functional affective state modeling." In AISS 2019: 2019 International Conference on Advanced Information Science and System. ACM, 2019. http://dx.doi.org/10.1145/3373477.3373706.

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Reports on the topic "Affective state recognition"

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Theiling, Charles. A review of algal phytoremediation potential to sequester nutrients from eutrophic surface water. Engineer Research and Development Center (U.S.), 2023. http://dx.doi.org/10.21079/11681/47720.

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Harmful algal blooms (HABs) and coastal hypoxic zones are evidence of cultural nutrient enrichment affecting public health and water supplies, aquatic ecosystem health, and economic well-being in the United States. Recognition of the far-reaching impacts of Midwest agriculture has led to establishing nutrient reduction objectives for surface waters feeding the Gulf of Mexico, Lake Erie, and many smaller water bodies. Municipal nutrient enrichment impacts have been addressed by increasing levels of sewage treatment and waste management through the Clean Water Act era, but HABs rebounded in the
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Sessa, Guido, and Gregory Martin. A functional genomics approach to dissect resistance of tomato to bacterial spot disease. United States Department of Agriculture, 2004. http://dx.doi.org/10.32747/2004.7695876.bard.

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The research problem. Bacterial spot disease in tomato is of great economic importance worldwide and it is particularly severe in warm and moist areas affecting yield and quality of tomato fruits. Causal agent of spot disease is the Gram-negative bacterium Xanthomonas campestris pv. vesicatoria (Xcv), which can be a contaminant on tomato seeds, or survive in plant debris and in association with certain weeds. Despite the economic significance of spot disease, plant protection against Xcvby cultural practices and chemical control have so far proven unsuccessful. In addition, breeding for resist
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