Relevant bibliographies by topics / Affective state recognition

Academic literature on the topic 'Affective state recognition'

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Published: 8 June 2024

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Contents

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

Journal articles on the topic "Affective state recognition":

1

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 (March 26, 2019): 2147–54. http://dx.doi.org/10.3233/jifs-169926.

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2

Blanco, M. J., F. Valle-Inclán, and J. Lamas. "Affective state dependence in a recognition task." Revista de Psicología Social 1, no. 1 (January 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 (March 17, 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, pain and fear. Conventional approaches to monitoring livestock welfare are time-consuming, interrupt farming processes and involve subjective judgments. Biometric sensor data enabled by artificial intelligence is an emerging smart solution to unobtrusively monitoring livestock, but its potential for quantifying affective states and ground-breaking solutions in their application are yet to be realized. This review provides innovative methods for collecting big data on farm animal emotions, which can be used to train artificial intelligence models to classify, quantify and predict affective states in individual pigs and cows. Extending this to the group level, social network analysis can be applied to model emotional dynamics and contagion among animals. Finally, ‘digital twins’ of animals capable of simulating and predicting their affective states and behaviour in real time are a near-term possibility.
4

Chen, Zhimin, and David Whitney. "Tracking the affective state of unseen persons." Proceedings of the National Academy of Sciences 116, no. 15 (February 27, 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 solely on visual context. We further show that the context is not only sufficient but also necessary to accurately perceive human affect over time, as it provides a substantial and unique contribution beyond the information available from face and body. Our method (which we have made publicly available) reveals that emotion recognition is, at its heart, an issue of context as much as it is about faces.
5

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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Meng, Hongying, and Nadia Bianchi-Berthouze. "Affective State Level Recognition in Naturalistic Facial and Vocal Expressions." IEEE Transactions on Cybernetics 44, no. 3 (March 2014): 315–28. http://dx.doi.org/10.1109/tcyb.2013.2253768.

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7

Ab. Aziz, Nor Azlina, Tawsif K., Sharifah Noor Masidayu Sayed Ismail, Muhammad Anas Hasnul, Kamarulzaman Ab. Aziz, Siti Zainab Ibrahim, Azlan Abd. Aziz, and J. Emerson Raja. "Asian Affective and Emotional State (A2ES) Dataset of ECG and PPG for Affective Computing Research." Algorithms 16, no. 3 (February 27, 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 ethnicities. The subjects were exposed to 25 carefully selected audio–visual stimuli to elicit specific targeted emotions. An analysis of the participants’ self-assessment and a list of the 25 stimuli utilised are also presented in this work. Emotion recognition systems are built using ECG and PPG data; five machine learning algorithms: support vector machine (SVM), k-nearest neighbour (KNN), naive Bayes (NB), decision tree (DT), and random forest (RF); and deep learning techniques. The performance of the systems built are presented and compared. The SVM was found to be the best learning algorithm for the ECG data, while RF was the best for the PPG data. The proposed database is available to other researchers.
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Mavromoustakos Blom, Paris, Sander Bakkes, Chek Tan, Shimon Whiteson, Diederik Roijers, Roberto Valenti, and Theo Gevers. "Towards Personalised Gaming via Facial Expression Recognition." Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 10, no. 1 (June 29, 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, to the end of tailoring the affective game experience to the individual user, in this paper we (1) leverage the proven InSight facial expression recognition SDK as a model of the user's affective state InSight, and (2) employ this model for guiding the online game personalisation process. User studies that validate the game personalisation approach in the actual video game Infinite Mario Bros. reveal that it provides an effective basis for converging to an appropriate affective state for the individual human player.
9

Erle, Thorsten M., and Friederike Funk. "Visuospatial and Affective Perspective-Taking." Social Psychology 53, no. 5 (September 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 emotion recognition speed and only slightly increases emotion recognition accuracy (Experiment 1), yet visuospatial perspective-taking increases the perceived intensity of emotional expressions (Experiment 2), as well as the emotional contagiousness of negative emotions (Experiment 3). The implications of these findings for content-based, cognitive, and functional taxonomies of perspective-taking and related processes are discussed.
10

Schmidt, Philip, Attila Reiss, Robert Dürichen, and Kristof Van Laerhoven. "Wearable-Based Affect Recognition—A Review." Sensors 19, no. 19 (September 20, 2019): 4079. http://dx.doi.org/10.3390/s19194079.

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Affect recognition is an interdisciplinary research field bringing together researchers from natural and social sciences. Affect recognition research aims to detect the affective state of a person based on observables, with the goal to, for example, provide reasoning for the person’s decision making or to support mental wellbeing (e.g., stress monitoring). Recently, beside of approaches based on audio, visual or text information, solutions relying on wearable sensors as observables, recording mainly physiological and inertial parameters, have received increasing attention. Wearable systems enable an ideal platform for long-term affect recognition applications due to their rich functionality and form factor, while providing valuable insights during everyday life through integrated sensors. However, existing literature surveys lack a comprehensive overview of state-of-the-art research in wearable-based affect recognition. Therefore, the aim of this paper is to provide a broad overview and in-depth understanding of the theoretical background, methods and best practices of wearable affect and stress recognition. Following a summary of different psychological models, we detail the influence of affective states on the human physiology and the sensors commonly employed to measure physiological changes. Then, we outline lab protocols eliciting affective states and provide guidelines for ground truth generation in field studies. We also describe the standard data processing chain and review common approaches related to the preprocessing, feature extraction and classification steps. By providing a comprehensive summary of the state-of-the-art and guidelines to various aspects, we would like to enable other researchers in the field to conduct and evaluate user studies and develop wearable systems.
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Journal articles

Dissertations / Theses on the topic "Affective state recognition":

1

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 literature shows that there is a lack of understanding of the effect of affective state on gait biometrics. The purpose of this study was to determine the percent success rate of AGI in an uncontrolled outdoor environment with affective state as the main variable. Affective state was measured using the Profile of Mood State (POMS) scales. Other covariate factors such as footwear or clothes were not considered in this study. The theoretical framework that grounded this study was Murray's theory of total walking cycle. This study included the gait signature of 24 participants from a population of 62 individuals, sampled based on simple random sampling. This quantitative research used empirical methods and a Fourier Series Analysis. Results showed that AGI has a 75% percent success rate in an uncontrolled outdoor environment with affective state. This study contributes to social change by enhancing an understanding of the effect of affective state on gait biometrics for positive identification during and after a crime such as bank robbery when the use of facial identification from a surveillance camera is either not clear or not possible. This may also be used in other countries to detect suicide bombers from a distance.
2

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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3

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 affectif de la personne (émotions / stress) à partir des vidéos du visage. La fusion des expressions faciales et des signaux physiologiques permet de tirer les avantages de chaque modalité. Les expressions faciales sont simple à acquérir et permettent d'avoir une vision externe de l'état affectif, tandis que les signaux physiologiques permettent d'améliorer la fiabilité et relever le problème des expressions faciales contrefaites. Les recherches développées dans cette thèse se situent à l'intersection de l'intelligence artificielle, l'informatique affective ainsi que l'ingénierie biomédicale. Notre contribution s'axe sur deux aspects. Nous proposons en premier lieu une nouvelle approche bout-en-bout permettant d'estimer la fréquence cardiaque à partir d'enregistrements vidéo du visage à l'aide du principe de photopléthysmographie par imagerie (iPPG). La méthode repose sur un réseau spatio-temporel profond (X-iPPGNet) qui apprend le concept d'iPPG à partir de zéro, sans incorporer de connaissances préalables ni passer par l'extraction manuelle des signaux iPPG. Le seconde aspect porte sur une chaine de traitement physio-visuelle pour la reconnaissance automatique des émotions spontanées et du stress à partir des vidéos du visage. Le modèle proposé comprend deux étages permettant d'extraire les caractéristiques de chaque modalité. Le pipeline physiologique est commun au système de reconnaissance d'émotion et celui du stress. Il est basé sur MTTS-CAN, une méthode récente d'estimation du signal iPPG. Deux modèles neuronaux distincts ont été utilisés pour prédire les émotions et le stress de la personne à partir des informations visuelles contenues dans la vidéo (e.g. expressions faciales) : un réseau spatio-temporel combinant le module Squeeze-Excitation et l'architecture Xception pour estimer l'état émotionnel et une approche d'apprentissage par transfert pour l'estimation du niveau de stress. Cette approche a été privilégiée afin de réduire les efforts de développement et surmonter le problème du manque de données. Une fusion des caractéristiques physiologiques et des expressions faciales est ensuite effectuée pour prédire les états émotionnels ou de stress
Human 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
4

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
“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.

Books on the topic "Affective state recognition":

1

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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4

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 convergences around six types of beings: civilian children, military children, military spouses, veterans with PTSD and TBI, Guantánamo detainees, and military dogs. All of these groups have become preferred objects of sentiment in wartime public culture, but they also have in common their status as political subjects who are partially or fully unknowable. They become visible to outsiders through a range of mediated and imaginative practices that are ostensibly motivated by concern or compassion. However, these practices actually function to reduce these beings to abstracted figures and so make them easy targets for affective investment. This is a paradoxical and conditional form of recognition that eclipses the actual beings upon whom those figures are patterned, silencing their political subjectivities and obscuring their suffering. As a result, they are erased and rendered hypervisible at once. Figuring Violence demonstrates that this dynamic ultimately propagates the very militarism that begets their victimization.
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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 liable to be moved. The emotional a priori frames our affective involvements and allows us to be receptive to whatever significance our lives might contain. We should therefore not assume that we could easily be conscious of the world around us without love, care, or interest.
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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 associations of psychosocial factors with HIV illness progression are independent of medication adherence and persistence. There is also increasing recognition that chronic viral infections such as HIV have neuropsychiatric effects, and more recent PNI research has focused on studying the bidirectional communication between the immune system and central nervous system in HIV. Future research should focus on obtaining definitive answers to these questions to inform the development of novel approaches for reducing psychiatric symptoms and optimizing health outcomes among persons with HIV.
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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 to the concept that the primary purpose of a vitamin is to prevent the associated clinical deficiency state and, consequently, unless patients exhibit signs of a specific clinical deficiency state, they are thought to be replete in the corresponding vitamin. This is a misunderstanding. In reality, most vitamins have many different functions which are incompletely understood, and impaired biochemical function and even functional problems affecting metabolic, immunological, or cognitive status can occur with marginal vitamin depletion long before overt clinical deficiency becomes evident. A high index of suspicion is thus essential in all patients who have malnutrition or malabsorption, to ensure that levels that might compromise health, resistance to disease, and recovery from injury or illness are not left untreated.
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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, studies show that labor migration provides various advantages. Migrants can provide complementary skills to domestic workers, which can raise the productivity of both. Migration can also be a driver of technological change and a fresh source of entrepreneurs. Much innovation comes from the work of teams of people who have different perspectives and experiences. Furthermore, a convenient way to accommodate individual actors in the global economy is to view them as economically dependent workers rather than as citizens capable of bringing about social change. The economic globalization process has modified this perspective to some extent, with greater recognition of the integration of a diverse, but nationally based, workforce into production patterns that can span several sovereign jurisdictions and world regions.

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, 403–10. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11573548_52.

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Krell, Gerald, Michael Glodek, Axel Panning, Ingo Siegert, Bernd Michaelis, Andreas Wendemuth, and Friedhelm Schwenker. "Fusion of Fragmentary Classifier Decisions for Affective State Recognition." In 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.

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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, 85–94. Berlin, Heidelberg: 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, 185–94. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24600-5_22.

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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, 31–41. Berlin, Heidelberg: 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, 179–90. Cham: 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, 575–78. Berlin, Heidelberg: 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, 138–44. London: 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, 242–48. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-73888-8_38.

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Maffiolo, Valérie, Noël Chateau, and 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." In 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.

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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, Spyridon Thermos, Konstantinos C. Apostolakis, Kosmas Dimitropoulos, and Petros Daras. "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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Abstract:
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 this paper, we address one main challenge in the development of intelligent socially assistive robots: The robot’s ability to identify, understand and react to human intent and human affective states during assistive interaction. In particular, we present a unique non-contact and non-restricting sensory-based approach for identification and categorization of human body language in determining the affective state of a person during natural real-time human-robot interaction. This classification allows the robot to effectively determine its taskdriven behavior during assistive interaction. Preliminary experiments show the potential of integrating the proposed gesture recognition and classification technique into intelligent socially assistive robotic systems for autonomous interactions with people.
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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. New York, NY, USA: 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.), October 2023. http://dx.doi.org/10.21079/11681/47720.

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Abstract:
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 1990s because of non-point source nutrient enrichment. HAB control and treatment includes watershed and waterbody treatments to reduce loading and address outbreaks. Systems to remove nutrients from impaired waters are expensive to build and operate. This review of algal production systems summarizes emerging algal water treatment technologies and considers their potential to effectively sequester nutrients and atmospheric carbon from hundreds of eutrophic reservoirs and DoD wastewater treatment facilities while producing useful biomass feedstock using solar energy. Algal water treatment systems including open ponds, photobioreactors, and algal turf scrubbers® can be used to grow biomass for biofuel, wastewater treatment, and commercial products. This review recommends continuing research on surface water nutrient reduction potential with algal turf scrubber productivity pilot studies, preliminary site design, and biomass utilization investigations.
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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, January 2004. http://dx.doi.org/10.32747/2004.7695876.bard.

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Abstract:
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 resistance to bacterial spot in tomato has been undermined by the genetic complexity of the available sources of resistance and by the multiple races of the pathogen. Genetic resistance to specific Xcvraces have been identified in tomato lines that develop a hypersensitive response and additional defense responses upon bacterial challenge. Central goals of this research were: 1. To identify plant genes involved in signaling and defense responses that result in the onset of resistance. 2. To characterize molecular properties and mode of action of bacterial proteins, which function as avirulence or virulence factors during the interaction between Xcvand resistant or susceptible tomato plants, respectively. Our main achievements during this research program are in three major areas: 1. Identification of differentially expressed genes during the resistance response of tomato to Xcvrace T3. A combination of suppression subtractive hybridization and microarray analysis identified a large set of tomato genes that are induced or repressed during the response of resistant plants to avirulent XcvT3 bacteria. These genes were grouped in clusters based on coordinate expression kinetics, and classified into over 20 functional classes. Among them we identified genes that are directly modulated by expression of the type III effector protein AvrXv3 and genes that are induced also during the tomato resistance response to Pseudomonas syringae pv. tomato. 2. Characterization of molecular and biochemical properties of the tomato LeMPK3MAP kinase. A detailed molecular and biochemical analysis was performed for LeMPK3 MAP kinase, which was among the genes induced by XcvT3 in resistant tomato plants. LeMPK3 was induced at the mRNA level by different pathogens, elicitors, and wounding, but not by defense-related plant hormones. Moreover, an induction of LeMPK3 kinase activity was observed in resistant tomato plants upon Xcvinfection. LeMPK3 was biochemically defined as a dual-specificity MAP kinase, and extensively characterized in vitro in terms of kinase activity, sites and mechanism of autophosphorylation, divalent cation preference, Kₘand Vₘₐₓ values for ATP. 3. Characteriztion of molecular properties of the Xcveffector protein AvrRxv. The avirulence gene avrRxvis involved in the genetic interaction that determines tomato resistance to Xcvrace T1. We found that AvrRxv functions inside the plant cell, localizes to the cytoplasm, and is sufficient to confer avirulence to virulent Xcvstrains. In addition, we showed that the AvrRxv cysteine protease catalytic core is essential for host recognition. Finally, insights into cellular processes activated by AvrRxv expression in resistant plants were obtained by microarray analysis of 8,600 tomato genes. Scientific and agricultural significance: The findings of these activities depict a comprehensive and detailed picture of cellular processes taking place during the onset of tomato resistance to Xcv. In this research, a large pool of genes, which may be involved in the control and execution of plant defense responses, was identified and the stage is set for the dissection of signaling pathways specifically triggered by Xcv.

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