Machine Learning For Face Emotion And Pain Recognition

Download Machine Learning For Face Emotion And Pain Recognition full books in PDF, epub, and Kindle. Read online Machine Learning For Face Emotion And Pain Recognition ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Pain

Author : Thomas Hadjistavropoulos
Publisher : Psychology Press
ISBN 13 : 1135631980
Total Pages : 390 pages
Book Rating : 4.1/5 (356 download)

DOWNLOAD NOW!

Book Synopsis Pain by : Thomas Hadjistavropoulos

Download or read book Pain written by Thomas Hadjistavropoulos and published by Psychology Press. This book was released on 2004-02-04 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: This invaluable resource presents a state-of-the-art account of the psychology of pain from leading researchers. It features contributions from clinical, social, and biopsychological perspectives, the latest theories of pain, as well as basic processes and applied issues. The book opens with an introduction to the history of pain theory and the epidemiology of pain. It then explores theoretical work, including the gate control theory/neuromatrix model, as well as biopsychosocial, cognitive/behavioral, and psychodynamic perspectives. Issues, such as the link between psychophysiological processes and consciousness and the communication of pain are examined. Pain over the life span, ethno-cultural, and individual differences are the focus of the next three chapters. Pain: Psychological Perspectives addresses current clinical issues: * pain assessment and acute and chronic pain interventions; * the unavailability of psychological interventions for chronic pain in a number of settings, the use of self-report, and issues related to the implementation of certain biomedical interventions; and * the latest ethical standards and the theories. Intended for practitioners, researchers, and students involved with the study of pain in fields such as clinical and health psychology, this book will also appeal to physicians, nurses, and physiotherapists. Pain is ideal for advanced courses on the psychology of pain, pain management, and related courses that address this topic.

Neonatal Pain

Author : Giuseppe Buonocore
Publisher : Springer
ISBN 13 : 9783319850979
Total Pages : 0 pages
Book Rating : 4.8/5 (59 download)

DOWNLOAD NOW!

Book Synopsis Neonatal Pain by : Giuseppe Buonocore

Download or read book Neonatal Pain written by Giuseppe Buonocore and published by Springer. This book was released on 2018-08-03 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This completely revised and updated edition offers a comprehensive overview of neonatal pain assessment and treatment. It includes the field of fetal surgery, and many other topics have been updated or added, such as circumcision analgesia, new drugs, new insights into neurophysiologic pathways of neonatal pain and new drawbacks of analgesic drugs. While in the early years of the 21st century pain treatment in neonates was still optional, it is now a tenet, and more and more institutions are looking for inspiration and good references to create their own guidelines. Written by leading researchers in the field, this book provides that inspiration and offers a valuable tool for neonatologists, anesthetists, nurses and physiotherapists. Since it also deals with prenatal and postnatal surgery, it also appeals to surgeons.

Machine Learning and Deep Learning in Real-Time Applications

Author : Paawan Sharma
Publisher : Engineering Science Reference
ISBN 13 : 9781799830955
Total Pages : 372 pages
Book Rating : 4.8/5 (39 download)

DOWNLOAD NOW!

Book Synopsis Machine Learning and Deep Learning in Real-Time Applications by : Paawan Sharma

Download or read book Machine Learning and Deep Learning in Real-Time Applications written by Paawan Sharma and published by Engineering Science Reference. This book was released on 2020 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence and its various components are rapidly engulfing almost every professional industry. Specific features of AI that have proven to be vital solutions to numerous real-world issues are machine learning and deep learning. These intelligent agents unlock higher levels of performance and efficiency, creating a wide span of industrial applications. However, there is a lack of research on the specific uses of machine/deep learning in the professional realm. Machine Learning and Deep Learning in Real-Time Applications provides emerging research exploring the theoretical and practical aspects of machine learning and deep learning and their implementations as well as their ability to solve real-world problems within several professional disciplines including healthcare, business, and computer science. Featuring coverage on a broad range of topics such as image processing, medical improvements, and smart grids, this book is ideally designed for researchers, academicians, scientists, industry experts, scholars, IT professionals, engineers, and students seeking current research on the multifaceted uses and implementations of machine learning and deep learning across the globe.

The Oxford Handbook of Affective Computing

Author : Rafael A. Calvo
Publisher : Oxford Library of Psychology
ISBN 13 : 0199942234
Total Pages : 625 pages
Book Rating : 4.1/5 (999 download)

DOWNLOAD NOW!

Book Synopsis The Oxford Handbook of Affective Computing by : Rafael A. Calvo

Download or read book The Oxford Handbook of Affective Computing written by Rafael A. Calvo and published by Oxford Library of Psychology. This book was released on 2015 with total page 625 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The Oxford Handbook of Affective Computing is a definitive reference in the burgeoning field of affective computing (AC), a multidisciplinary field encompassing computer science, engineering, psychology, education, neuroscience, and other disciplines. AC research explores how affective factors influence interactions between humans and technology, how affect sensing and affect generation techniques can inform our understanding of human affect, and on the design, implementation, and evaluation of systems involving affect at their core. The volume features 41 chapters and is divided into five sections: history and theory, detection, generation, methodologies, and applications. Section 1 begins with the making of AC and a historical review of the science of emotion. The following chapters discuss the theoretical underpinnings of AC from an interdisciplinary viewpoint. Section 2 examines affect detection or recognition, a commonly investigated area. Section 3 focuses on aspects of affect generation, including the synthesis of emotion and its expression via facial features, speech, postures, and gestures. Cultural issues are also discussed. Section 4 focuses on methodological issues in AC research, including data collection techniques, multimodal affect databases, formats for the representation of emotion, crowdsourcing techniques, machine learning approaches, affect elicitation techniques, useful AC tools, and ethical issues. Finally, Section 5 highlights applications of AC in such domains as formal and informal learning, games, robotics, virtual reality, autism research, health care, cyberpsychology, music, deception, reflective writing, and cyberpsychology. This compendium will prove suitable for use as a textbook and serve as a valuable resource for everyone with an interest in AC."--

Emotion and Stress Recognition Related Sensors and Machine Learning Technologies

Author : Kyandoghere Kyamakya
Publisher : MDPI
ISBN 13 : 3036511385
Total Pages : 550 pages
Book Rating : 4.0/5 (365 download)

DOWNLOAD NOW!

Book Synopsis Emotion and Stress Recognition Related Sensors and Machine Learning Technologies by : Kyandoghere Kyamakya

Download or read book Emotion and Stress Recognition Related Sensors and Machine Learning Technologies written by Kyandoghere Kyamakya and published by MDPI. This book was released on 2021-09-01 with total page 550 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. This book, emerging from the Special Issue of the Sensors journal on “Emotion and Stress Recognition Related Sensors and Machine Learning Technologies” emerges as a result of the crucial need for massive deployment of intelligent sociotechnical systems. Such technologies are being applied in assistive systems in different domains and parts of the world to address challenges that could not be addressed without the advances made in these technologies.

Video Analytics. Face and Facial Expression Recognition and Audience Measurement

Author : Kamal Nasrollahi
Publisher : Springer
ISBN 13 : 3319566873
Total Pages : 174 pages
Book Rating : 4.3/5 (195 download)

DOWNLOAD NOW!

Book Synopsis Video Analytics. Face and Facial Expression Recognition and Audience Measurement by : Kamal Nasrollahi

Download or read book Video Analytics. Face and Facial Expression Recognition and Audience Measurement written by Kamal Nasrollahi and published by Springer. This book was released on 2017-03-28 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the Third Workshop on Video Analytics for Audience Measurement, VAAM 2016, and the Second International Workshop on Face and Facial Expression Recognition from Real World Videos, FFER 2016, held at the 23rd International Conference on Pattern Recognition, ICPR 2016, in Cancun, Mexico, in December 2016. The 11 papers presented in this volume were carefully reviewed and selected from 13 submissions. They deal with: re-identification; consumer behavior analysis; utilizing pupillary response for task difficulty measurement; logo detection; saliency prediction; classification of facial expressions; face recognition; face verification; age estimation; super resolution; pose estimation; and pain recognition.

Using Machine Learning to Detect Emotions and Predict Human Psychology

Author : Rai, Mritunjay
Publisher : IGI Global
ISBN 13 :
Total Pages : 332 pages
Book Rating : 4.3/5 (693 download)

DOWNLOAD NOW!

Book Synopsis Using Machine Learning to Detect Emotions and Predict Human Psychology by : Rai, Mritunjay

Download or read book Using Machine Learning to Detect Emotions and Predict Human Psychology written by Rai, Mritunjay and published by IGI Global. This book was released on 2024-02-26 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the realm of analyzing human emotions through Artificial Intelligence (AI), a myriad of challenges persist. From the intricate nuances of emotional subtleties to the broader concerns of ethical considerations, privacy implications, and the ongoing battle against bias, AI faces a complex landscape when venturing into the understanding of human emotions. These challenges underscore the intricate balance required to navigate the human psyche with accuracy. The book, Using Machine Learning to Detect Emotions and Predict Human Psychology, serves as a guide for innovative solutions in the field of emotion detection through AI. It explores facial expression analysis, where AI decodes real-time emotions through subtle cues such as eyebrow movements and micro-expressions. In speech and voice analysis, the book unveils how AI processes vocal nuances to discern emotions, considering elements like tone, pitch, and language intricacies. Additionally, the power of text analysis is of great importance, revealing how AI extracts emotional tones from diverse textual communications. By weaving these systems together, the book offers a holistic solution to the challenges faced by AI in understanding the complex landscape of human emotions.

High-Performance Modelling and Simulation for Big Data Applications

Author : Joanna Kołodziej
Publisher : Springer
ISBN 13 : 3030162729
Total Pages : 364 pages
Book Rating : 4.0/5 (31 download)

DOWNLOAD NOW!

Book Synopsis High-Performance Modelling and Simulation for Big Data Applications by : Joanna Kołodziej

Download or read book High-Performance Modelling and Simulation for Big Data Applications written by Joanna Kołodziej and published by Springer. This book was released on 2019-03-25 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book was prepared as a Final Publication of the COST Action IC1406 “High-Performance Modelling and Simulation for Big Data Applications (cHiPSet)“ project. Long considered important pillars of the scientific method, Modelling and Simulation have evolved from traditional discrete numerical methods to complex data-intensive continuous analytical optimisations. Resolution, scale, and accuracy have become essential to predict and analyse natural and complex systems in science and engineering. When their level of abstraction raises to have a better discernment of the domain at hand, their representation gets increasingly demanding for computational and data resources. On the other hand, High Performance Computing typically entails the effective use of parallel and distributed processing units coupled with efficient storage, communication and visualisation systems to underpin complex data-intensive applications in distinct scientific and technical domains. It is then arguably required to have a seamless interaction of High Performance Computing with Modelling and Simulation in order to store, compute, analyse, and visualise large data sets in science and engineering. Funded by the European Commission, cHiPSet has provided a dynamic trans-European forum for their members and distinguished guests to openly discuss novel perspectives and topics of interests for these two communities. This cHiPSet compendium presents a set of selected case studies related to healthcare, biological data, computational advertising, multimedia, finance, bioinformatics, and telecommunications.

Handbook of Face Recognition

Author : Stan Z. Li
Publisher : Springer Science & Business Media
ISBN 13 : 0857299328
Total Pages : 694 pages
Book Rating : 4.8/5 (572 download)

DOWNLOAD NOW!

Book Synopsis Handbook of Face Recognition by : Stan Z. Li

Download or read book Handbook of Face Recognition written by Stan Z. Li and published by Springer Science & Business Media. This book was released on 2011-08-22 with total page 694 pages. Available in PDF, EPUB and Kindle. Book excerpt: This highly anticipated new edition provides a comprehensive account of face recognition research and technology, spanning the full range of topics needed for designing operational face recognition systems. After a thorough introductory chapter, each of the following chapters focus on a specific topic, reviewing background information, up-to-date techniques, and recent results, as well as offering challenges and future directions. Features: fully updated, revised and expanded, covering the entire spectrum of concepts, methods, and algorithms for automated face detection and recognition systems; provides comprehensive coverage of face detection, tracking, alignment, feature extraction, and recognition technologies, and issues in evaluation, systems, security, and applications; contains numerous step-by-step algorithms; describes a broad range of applications; presents contributions from an international selection of experts; integrates numerous supporting graphs, tables, charts, and performance data.

Human-Centered Technology for a Better Tomorrow

Author : Mohd Hasnun Arif Hassan
Publisher : Springer Nature
ISBN 13 : 9811641153
Total Pages : 742 pages
Book Rating : 4.8/5 (116 download)

DOWNLOAD NOW!

Book Synopsis Human-Centered Technology for a Better Tomorrow by : Mohd Hasnun Arif Hassan

Download or read book Human-Centered Technology for a Better Tomorrow written by Mohd Hasnun Arif Hassan and published by Springer Nature. This book was released on 2021-10-01 with total page 742 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book acts as a compilation of papers presented in the Human Engineering Symposium (HUMENS 2021). The symposium theme, “Human-centered Technology for A Better Tomorrow,” covers the following research topics: ergonomics, biomechanics, sports technology, medical device and instrumentation, artificial intelligence / machine learning, industrial design, rehabilitation, additive manufacturing, modelling and bio-simulation, and signal processing. Fifty-nine articles published in this book are divided into four parts, namely Part 1—Artificial Intelligence and Biosimulation, Part 2—Biomechanics, Safety and Sports, Part 3—Design and Instrumentation, and Part 4—Ergonomics.

Handbook of Research on Deep Learning-Based Image Analysis Under Constrained and Unconstrained Environments

Author : Raj, Alex Noel Joseph
Publisher : IGI Global
ISBN 13 : 1799866920
Total Pages : 381 pages
Book Rating : 4.7/5 (998 download)

DOWNLOAD NOW!

Book Synopsis Handbook of Research on Deep Learning-Based Image Analysis Under Constrained and Unconstrained Environments by : Raj, Alex Noel Joseph

Download or read book Handbook of Research on Deep Learning-Based Image Analysis Under Constrained and Unconstrained Environments written by Raj, Alex Noel Joseph and published by IGI Global. This book was released on 2020-12-25 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent advancements in imaging techniques and image analysis has broadened the horizons for their applications in various domains. Image analysis has become an influential technique in medical image analysis, optical character recognition, geology, remote sensing, and more. However, analysis of images under constrained and unconstrained environments require efficient representation of the data and complex models for accurate interpretation and classification of data. Deep learning methods, with their hierarchical/multilayered architecture, allow the systems to learn complex mathematical models to provide improved performance in the required task. The Handbook of Research on Deep Learning-Based Image Analysis Under Constrained and Unconstrained Environments provides a critical examination of the latest advancements, developments, methods, systems, futuristic approaches, and algorithms for image analysis and addresses its challenges. Highlighting concepts, methods, and tools including convolutional neural networks, edge enhancement, image segmentation, machine learning, and image processing, the book is an essential and comprehensive reference work for engineers, academicians, researchers, and students.

Machine Learning in Dentistry

Author : Ching-Chang Ko
Publisher : Springer Nature
ISBN 13 : 3030718816
Total Pages : 186 pages
Book Rating : 4.0/5 (37 download)

DOWNLOAD NOW!

Book Synopsis Machine Learning in Dentistry by : Ching-Chang Ko

Download or read book Machine Learning in Dentistry written by Ching-Chang Ko and published by Springer Nature. This book was released on 2021-07-24 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reviews all aspects of the use of machine learning in contemporary dentistry, clearly explaining its significance for dental imaging, oral diagnosis and treatment, dental designs, and dental research. Machine learning is an emerging field of artificial intelligence research and practice in which computer agents are employed to improve perception, cognition, and action based on their ability to “learn”, for example through use of big data techniques. Its application within dentistry is designed to promote personalized and precision patient care, with enhancement of diagnosis and treatment planning. In this book, readers will find up-to-date information on different machine learning tools and their applicability in various dental specialties. The selected examples amply illustrate the opportunities to employ a machine learning approach within dentistry while also serving to highlight the associated challenges. Machine Learning in Dentistry will be of value for all dental practitioners and researchers who wish to learn more about the potential benefits of using machine learning techniques in their work.

Technology and Health

Author : Jihyun Kim
Publisher : Academic Press
ISBN 13 : 9780128169582
Total Pages : 450 pages
Book Rating : 4.1/5 (695 download)

DOWNLOAD NOW!

Book Synopsis Technology and Health by : Jihyun Kim

Download or read book Technology and Health written by Jihyun Kim and published by Academic Press. This book was released on 2020-03 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technology and Health: Promoting Attitude and Behavior Change examines how technologies can be used to distribute health information, to facilitate cognitive changes, and to persuade attitudinal and behavioral changes for good health, both mental and physical. The book synthesizes theory-driven research with implications for practice, covering a range of theories in the context of health, including Presence, Computers are Social Actors (CASA), Proteus Effects, and Social Cognitive Theory. In addition, this comprehensive resource includes discussions on technologies, such as mobile applications, mobile games, computer games, augmented reality, virtual reality, robotics and artificial intelligence.

The Dictionary of Obscure Sorrows

Author : John Koenig
Publisher : Simon and Schuster
ISBN 13 : 1501153668
Total Pages : 288 pages
Book Rating : 4.5/5 (11 download)

DOWNLOAD NOW!

Book Synopsis The Dictionary of Obscure Sorrows by : John Koenig

Download or read book The Dictionary of Obscure Sorrows written by John Koenig and published by Simon and Schuster. This book was released on 2021-11-16 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: NEW YORK TIMES BESTSELLER “It’s undeniably thrilling to find words for our strangest feelings…Koenig casts light into lonely corners of human experience…An enchanting book. “ —The Washington Post A truly original book in every sense of the word, The Dictionary of Obscure Sorrows poetically defines emotions that we all feel but don’t have the words to express—until now. Have you ever wondered about the lives of each person you pass on the street, realizing that everyone is the main character in their own story, each living a life as vivid and complex as your own? That feeling has a name: “sonder.” Or maybe you’ve watched a thunderstorm roll in and felt a primal hunger for disaster, hoping it would shake up your life. That’s called “lachesism.” Or you were looking through old photos and felt a pang of nostalgia for a time you’ve never actually experienced. That’s “anemoia.” If you’ve never heard of these terms before, that’s because they didn’t exist until John Koenig set out to fill the gaps in our language of emotion. The Dictionary of Obscure Sorrows “creates beautiful new words that we need but do not yet have,” says John Green, bestselling author of The Fault in Our Stars. By turns poignant, relatable, and mind-bending, the definitions include whimsical etymologies drawn from languages around the world, interspersed with otherworldly collages and lyrical essays that explore forgotten corners of the human condition—from “astrophe,” the longing to explore beyond the planet Earth, to “zenosyne,” the sense that time keeps getting faster. The Dictionary of Obscure Sorrows is for anyone who enjoys a shift in perspective, pondering the ineffable feelings that make up our lives. With a gorgeous package and beautiful illustrations throughout, this is the perfect gift for creatives, word nerds, and human beings everywhere.

Emotional Mimicry in Social Context

Author : Ursula Hess
Publisher : Cambridge University Press
ISBN 13 : 1316589188
Total Pages : pages
Book Rating : 4.3/5 (165 download)

DOWNLOAD NOW!

Book Synopsis Emotional Mimicry in Social Context by : Ursula Hess

Download or read book Emotional Mimicry in Social Context written by Ursula Hess and published by Cambridge University Press. This book was released on 2016-03-11 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: In everyday life we actively react to the emotional expressions of others, responding by showing matching, or sometimes contrasting, expressions. Emotional mimicry has important social functions such as signalling affiliative intent and fostering rapport, and is considered one of the cornerstones of successful interactions. This book provides a multidisciplinary overview of research into emotional mimicry and empathy, and explores when, how and why emotional mimicry occurs. Focusing on recent developments in the field, the chapters cover a variety of approaches and research questions, such as the role of literature in empathy and emotional mimicry, the most important brain areas involved in the mimicry of emotions, the effects of specific psychopathologies on mimicry, why smiling may be a special case in mimicry, whether we can also mimic vocal emotional expressions, individual differences in mimicry and the role of social contexts in mimicry.

Machine Learning and Information Processing

Author : Debabala Swain
Publisher : Springer Nature
ISBN 13 : 981151884X
Total Pages : 533 pages
Book Rating : 4.8/5 (115 download)

DOWNLOAD NOW!

Book Synopsis Machine Learning and Information Processing by : Debabala Swain

Download or read book Machine Learning and Information Processing written by Debabala Swain and published by Springer Nature. This book was released on 2020-03-23 with total page 533 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes selected papers from the International Conference on Machine Learning and Information Processing (ICMLIP 2019), held at ISB&M School of Technology, Pune, Maharashtra, India, from December 27 to 28, 2019. It presents the latest developments and technical solutions in the areas of advanced computing and data sciences, covering machine learning, artificial intelligence, human–computer interaction, IoT, deep learning, image processing and pattern recognition, and signal and speech processing.

Machine Learning Systems for Multimodal Affect Recognition

Author : Markus Kächele
Publisher : Springer Nature
ISBN 13 : 3658286741
Total Pages : 198 pages
Book Rating : 4.6/5 (582 download)

DOWNLOAD NOW!

Book Synopsis Machine Learning Systems for Multimodal Affect Recognition by : Markus Kächele

Download or read book Machine Learning Systems for Multimodal Affect Recognition written by Markus Kächele and published by Springer Nature. This book was released on 2019-11-19 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: Markus Kächele offers a detailed view on the different steps in the affective computing pipeline, ranging from corpus design and recording over annotation and feature extraction to post-processing, classification of individual modalities and fusion in the context of ensemble classifiers. He focuses on multimodal recognition of discrete and continuous emotional and medical states. As such, specifically the peculiarities that arise during annotation and processing of continuous signals are highlighted. Furthermore, methods are presented that allow personalization of datasets and adaptation of classifiers to new situations and persons.