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book (14)


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English (14)


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2021 (14)

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Book
Neurocognitive mechanisms of attention : computational models, physiology, and disease states
Authors: --- ---
ISBN: 0323909353 0323909361 9780323909365 9780323909358 Year: 2021 Publisher: London, England : Academic Press,


Book
Appealing Because He Is Appalling : Black Masculinities, Colonialism, and Erotic Racism.
Authors: ---
ISBN: 1772125539 1772125555 1772125431 Year: 2021 Publisher: Edmonton : University of Alberta Press,

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Abstract

Transnational perspectives on Black men as objects of sexual desire, fear, and loathing.


Book
Novel Techniques to Measure the Sensory, Emotional, and Physiological (Biometric) Responses of Consumers toward Foods and Packaging
Author:
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

This book reprinted from articles published in the Special Issue “Novel Techniques to Measure the Sensory, Emotional, and Physiological (Biometric) Responses of Consumers toward Foods and Packaging” of the journal Foods aims to provide a deeper understanding of novel techniques to measure the different sensory, emotional, and physiological responses toward foods. The editor hopes that the findings from this Special Issue can help the broader scientific community to understand the use of novel sensory science techniques that can be used in the evaluation of products.


Book
Novel Techniques to Measure the Sensory, Emotional, and Physiological (Biometric) Responses of Consumers toward Foods and Packaging
Author:
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

This book reprinted from articles published in the Special Issue “Novel Techniques to Measure the Sensory, Emotional, and Physiological (Biometric) Responses of Consumers toward Foods and Packaging” of the journal Foods aims to provide a deeper understanding of novel techniques to measure the different sensory, emotional, and physiological responses toward foods. The editor hopes that the findings from this Special Issue can help the broader scientific community to understand the use of novel sensory science techniques that can be used in the evaluation of products.


Book
Emotion and Stress Recognition Related Sensors and Machine Learning Technologies
Authors: --- --- --- --- --- et al.
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

This book includes impactful chapters which present scientific concepts, frameworks, architectures and ideas on sensing technologies and machine learning techniques. These are relevant in tackling the following challenges: (i) the field readiness and use of intrusive sensor systems and devices for capturing biosignals, including EEG sensor systems, ECG sensor systems and electrodermal activity sensor systems; (ii) the quality assessment and management of sensor data; (iii) data preprocessing, noise filtering and calibration concepts for biosignals; (iv) the field readiness and use of nonintrusive sensor technologies, including visual sensors, acoustic sensors, vibration sensors and piezoelectric sensors; (v) emotion recognition using mobile phones and smartwatches; (vi) body area sensor networks for emotion and stress studies; (vii) the use of experimental datasets in emotion recognition, including dataset generation principles and concepts, quality insurance and emotion elicitation material and concepts; (viii) machine learning techniques for robust emotion recognition, including graphical models, neural network methods, deep learning methods, statistical learning and multivariate empirical mode decomposition; (ix) subject-independent emotion and stress recognition concepts and systems, including facial expression-based systems, speech-based systems, EEG-based systems, ECG-based systems, electrodermal activity-based systems, multimodal recognition systems and sensor fusion concepts and (x) emotion and stress estimation and forecasting from a nonlinear dynamical system perspective.

Keywords

Technology: general issues --- subject-dependent emotion recognition --- subject-independent emotion recognition --- electrodermal activity (EDA) --- deep learning --- convolutional neural networks --- automatic facial emotion recognition --- intensity of emotion recognition --- behavioral biometrical systems --- machine learning --- artificial intelligence --- driving stress --- electrodermal activity --- road traffic --- road types --- Viola-Jones --- facial emotion recognition --- facial expression recognition --- facial detection --- facial landmarks --- infrared thermal imaging --- homography matrix --- socially assistive robot --- EEG --- arousal detection --- valence detection --- data transformation --- normalization --- mental stress detection --- electrocardiogram --- respiration --- in-ear EEG --- emotion classification --- emotion monitoring --- elderly caring --- outpatient caring --- stress detection --- deep neural network --- convolutional neural network --- wearable sensors --- psychophysiology --- sensor data analysis --- time series analysis --- signal analysis --- similarity measures --- correlation statistics --- quantitative analysis --- benchmarking --- boredom --- emotion --- GSR --- classification --- sensor --- face landmark detection --- fully convolutional DenseNets --- skip-connections --- dilated convolutions --- emotion recognition --- physiological sensing --- multimodal sensing --- flight simulation --- activity recognition --- physiological signals --- thoracic electrical bioimpedance --- smart band --- stress recognition --- physiological signal processing --- long short-term memory recurrent neural networks --- information fusion --- pain recognition --- long-term stress --- electroencephalography --- perceived stress scale --- expert evaluation --- affective corpus --- multimodal sensors --- overload --- underload --- interest --- frustration --- cognitive load --- stress research --- affective computing --- human-computer interaction --- deep convolutional neural network --- transfer learning --- auxiliary loss --- weighted loss --- class center --- stress sensing --- smart insoles --- smart shoes --- unobtrusive sensing --- stress --- center of pressure --- regression --- signal processing --- arousal --- aging adults --- musical genres --- emotion elicitation --- dataset --- emotion representation --- feature selection --- feature extraction --- computer science --- virtual reality --- head-mounted display --- n/a


Book
Emotion and Stress Recognition Related Sensors and Machine Learning Technologies
Authors: --- --- --- --- --- et al.
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

This book includes impactful chapters which present scientific concepts, frameworks, architectures and ideas on sensing technologies and machine learning techniques. These are relevant in tackling the following challenges: (i) the field readiness and use of intrusive sensor systems and devices for capturing biosignals, including EEG sensor systems, ECG sensor systems and electrodermal activity sensor systems; (ii) the quality assessment and management of sensor data; (iii) data preprocessing, noise filtering and calibration concepts for biosignals; (iv) the field readiness and use of nonintrusive sensor technologies, including visual sensors, acoustic sensors, vibration sensors and piezoelectric sensors; (v) emotion recognition using mobile phones and smartwatches; (vi) body area sensor networks for emotion and stress studies; (vii) the use of experimental datasets in emotion recognition, including dataset generation principles and concepts, quality insurance and emotion elicitation material and concepts; (viii) machine learning techniques for robust emotion recognition, including graphical models, neural network methods, deep learning methods, statistical learning and multivariate empirical mode decomposition; (ix) subject-independent emotion and stress recognition concepts and systems, including facial expression-based systems, speech-based systems, EEG-based systems, ECG-based systems, electrodermal activity-based systems, multimodal recognition systems and sensor fusion concepts and (x) emotion and stress estimation and forecasting from a nonlinear dynamical system perspective.

Keywords

subject-dependent emotion recognition --- subject-independent emotion recognition --- electrodermal activity (EDA) --- deep learning --- convolutional neural networks --- automatic facial emotion recognition --- intensity of emotion recognition --- behavioral biometrical systems --- machine learning --- artificial intelligence --- driving stress --- electrodermal activity --- road traffic --- road types --- Viola-Jones --- facial emotion recognition --- facial expression recognition --- facial detection --- facial landmarks --- infrared thermal imaging --- homography matrix --- socially assistive robot --- EEG --- arousal detection --- valence detection --- data transformation --- normalization --- mental stress detection --- electrocardiogram --- respiration --- in-ear EEG --- emotion classification --- emotion monitoring --- elderly caring --- outpatient caring --- stress detection --- deep neural network --- convolutional neural network --- wearable sensors --- psychophysiology --- sensor data analysis --- time series analysis --- signal analysis --- similarity measures --- correlation statistics --- quantitative analysis --- benchmarking --- boredom --- emotion --- GSR --- classification --- sensor --- face landmark detection --- fully convolutional DenseNets --- skip-connections --- dilated convolutions --- emotion recognition --- physiological sensing --- multimodal sensing --- flight simulation --- activity recognition --- physiological signals --- thoracic electrical bioimpedance --- smart band --- stress recognition --- physiological signal processing --- long short-term memory recurrent neural networks --- information fusion --- pain recognition --- long-term stress --- electroencephalography --- perceived stress scale --- expert evaluation --- affective corpus --- multimodal sensors --- overload --- underload --- interest --- frustration --- cognitive load --- stress research --- affective computing --- human-computer interaction --- deep convolutional neural network --- transfer learning --- auxiliary loss --- weighted loss --- class center --- stress sensing --- smart insoles --- smart shoes --- unobtrusive sensing --- stress --- center of pressure --- regression --- signal processing --- arousal --- aging adults --- musical genres --- emotion elicitation --- dataset --- emotion representation --- feature selection --- feature extraction --- computer science --- virtual reality --- head-mounted display --- n/a


Book
Novel Techniques to Measure the Sensory, Emotional, and Physiological (Biometric) Responses of Consumers toward Foods and Packaging
Author:
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Bookmark

Abstract

This book reprinted from articles published in the Special Issue “Novel Techniques to Measure the Sensory, Emotional, and Physiological (Biometric) Responses of Consumers toward Foods and Packaging” of the journal Foods aims to provide a deeper understanding of novel techniques to measure the different sensory, emotional, and physiological responses toward foods. The editor hopes that the findings from this Special Issue can help the broader scientific community to understand the use of novel sensory science techniques that can be used in the evaluation of products.

Keywords

Psychology --- virtual reality --- acceptability --- Cabernet Sauvignon --- wine --- context --- emotions --- immersive environments --- chocolate products --- hordenine --- happiness --- beer consumption --- sensory analysis --- beer styles --- entomophagy --- neophobia --- alternative protein source --- emojis --- EsSense profile® --- facial expressions --- purchase intention --- energy drinks --- beef --- chocolate --- biometrics --- Cochran's Q test --- ethnic --- plant --- conscious --- unconscious --- check-all-that-apply --- linear model --- correspondence analysis --- RPPG and PPG heart rate --- branding --- familiarity --- soy sauce --- food images --- consumer --- approach-avoidance --- Approach-Avoidance Task (AAT) --- valence --- arousal --- wanting --- implicit measure --- self-report --- mobile phone --- home-use test --- ecological validity --- jambalaya --- online auction --- virtual reality --- acceptability --- Cabernet Sauvignon --- wine --- context --- emotions --- immersive environments --- chocolate products --- hordenine --- happiness --- beer consumption --- sensory analysis --- beer styles --- entomophagy --- neophobia --- alternative protein source --- emojis --- EsSense profile® --- facial expressions --- purchase intention --- energy drinks --- beef --- chocolate --- biometrics --- Cochran's Q test --- ethnic --- plant --- conscious --- unconscious --- check-all-that-apply --- linear model --- correspondence analysis --- RPPG and PPG heart rate --- branding --- familiarity --- soy sauce --- food images --- consumer --- approach-avoidance --- Approach-Avoidance Task (AAT) --- valence --- arousal --- wanting --- implicit measure --- self-report --- mobile phone --- home-use test --- ecological validity --- jambalaya --- online auction


Book
Health and Wellbeing in an Outdoor and Adventure Sports Context
Authors: --- --- --- --- --- et al.
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

The health and wellbeing of people and the planet is currently receiving a much attention, if only because of the ongoing global crisis instigated by COVID-19. The benefits of nature for human wellbeing have been scientifically studied in multiple disciplines for over three decades. Researchers from disciplines such as ecology, sport science, psychology, tourism, medicine, forestry, environmental studies and architecture have found evidence that being in nature, interacting with nature, and feeling connected to nature are important for good health and wellbeing. In particular, physical activity in nature has been linked to wellbeing. This manuscript explores a particular type of physical activity in nature: adventure and outdoor activity. Adventure in nature is important for wellbeing, and carefully designed interventions and programs can have a profound impact. The work in this book suggests that adventure should be considered an important part of the public health offering.


Book
Behavior of Shelter Animals
Author:
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

This book has resulted from collaborative interactions between academic institutions and animal shelters. It contains a collection of eleven papers (one review and ten research articles) on the behavior of dogs and cats in animal shelters, which can be very challenging environments. The papers focus on stress and behaviors associated with stress; the effectiveness of shelter enrichment programs in reducing stress; the usefulness of shelter behavioral evaluations in predicting behavior and assessing adoptability; and interactions between humans and companion animals. The aim of this book is to provide information that will inform shelter programs and policies, and thereby improve the welfare of shelter animals.


Book
Health and Wellbeing in an Outdoor and Adventure Sports Context
Authors: --- --- --- --- --- et al.
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

The health and wellbeing of people and the planet is currently receiving a much attention, if only because of the ongoing global crisis instigated by COVID-19. The benefits of nature for human wellbeing have been scientifically studied in multiple disciplines for over three decades. Researchers from disciplines such as ecology, sport science, psychology, tourism, medicine, forestry, environmental studies and architecture have found evidence that being in nature, interacting with nature, and feeling connected to nature are important for good health and wellbeing. In particular, physical activity in nature has been linked to wellbeing. This manuscript explores a particular type of physical activity in nature: adventure and outdoor activity. Adventure in nature is important for wellbeing, and carefully designed interventions and programs can have a profound impact. The work in this book suggests that adventure should be considered an important part of the public health offering.

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