[PDF] Recent Advances In Machine Learning Techniques And Sensor Applications For Human Emotion Activity Recognition And Support - eBooks Review

Recent Advances In Machine Learning Techniques And Sensor Applications For Human Emotion Activity Recognition And Support


Recent Advances In Machine Learning Techniques And Sensor Applications For Human Emotion Activity Recognition And Support
DOWNLOAD

Download Recent Advances In Machine Learning Techniques And Sensor Applications For Human Emotion Activity Recognition And Support PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Recent Advances In Machine Learning Techniques And Sensor Applications For Human Emotion Activity Recognition And Support book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page



Recent Advances In Machine Learning Techniques And Sensor Applications For Human Emotion Activity Recognition And Support


Recent Advances In Machine Learning Techniques And Sensor Applications For Human Emotion Activity Recognition And Support
DOWNLOAD
Author : Kyandoghere Kyamakya
language : en
Publisher: Springer Nature
Release Date : 2024-11-07

Recent Advances In Machine Learning Techniques And Sensor Applications For Human Emotion Activity Recognition And Support written by Kyandoghere Kyamakya and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-07 with Computers categories.


This book explores integrating machine learning techniques and sensor applications for human emotion and activity recognition, creating personalized and effective support systems. It covers state-of-the-art machine learning techniques and large language models using multimodal sensors. Enhancing the quality of life for individuals with special needs, particularly the elderly, is a key focus in Active and Assisted Living (AAL) research. Unlike other literature, it emphasizes support mechanisms along with recognition, using metamodel integration for adaptable AAL systems. This book offers insights into technologies transforming AAL for researchers, students, and practitioners. It is a valuable resource for developing responsive and personalized support systems that enhance life quality in smart environments. It is also essential for advancing the understanding of machine learning and sensor technologies in AAL and emotion recognition.



Algorithms And Computational Theory For Engineering Applications


Algorithms And Computational Theory For Engineering Applications
DOWNLOAD
Author : Sripada Rama Sree
language : en
Publisher: Springer Nature
Release Date : 2025-01-24

Algorithms And Computational Theory For Engineering Applications written by Sripada Rama Sree and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-24 with Computers categories.


This book goes deeply into the world of algorithms and computational theory and its astounding influence on numerous engineering areas. The book's carefully chosen content highlights the most recent studies, approaches, and real-world applications that are revolutionising engineering. The book is structured into distinct sections, each of which examines an important topic in computational theory and algorithms. The authors propose cutting-edge optimisation methods that revolutionise the way engineers approach engineering problems by allowing them to solve complicated issues quickly and effectively. The book illustrates the techniques and equipment used in the fields of data science and big data analytics to glean insightful information from enormous databases. Data visualisation, predictive modelling, clustering, and anomaly detection are a few examples of how algorithms are used to find patterns and trends that help engineers make well-informed decisions. Before being physically implemented, complex systems are built, tested, and optimised in the virtual environment thanks to computational modelling and simulation. The book examines numerical techniques, finite element analysis, computational fluid dynamics, and other simulation techniques to highlight how algorithms are changing engineering system design and performance optimisation. The book also delves into the intriguing field of robotics and control systems. The book's readers will learn about the algorithms that advance sensor fusion, intelligent control, path planning, and real-time systems, paving the way for innovations in autonomous driving, industrial automation, and smart cities. Readers will learn more about how algorithms and computational theory are modifying engineering environments, opening up new opportunities, and changing industries by examining the book's chapters. This book is a must-have for anyone looking to keep on top of the intersection of algorithms, computational theory, and engineering applications because of its concentration on practical applications and theoretical breakthroughs.



Hybrid Optical Wireless Networks And Sensor Technologies


Hybrid Optical Wireless Networks And Sensor Technologies
DOWNLOAD
Author : Prateek Gupta
language : en
Publisher: CRC Press
Release Date : 2025-06-03

Hybrid Optical Wireless Networks And Sensor Technologies written by Prateek Gupta and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-03 with Business & Economics categories.


The incredible growth of hybrid wireless networks and sensor-based communication technologies has led to research in both academia and industry for intelligent, efficient, and robust technologies to satisfy the requirements of future users. This new book covers the tools, techniques, and trends in hybrid optical wireless networks and sensor technologies that can be applied in various domains. Addressing recent trends and opportunities in wireless networks, the book covers the categorization of various hybrid optical wireless networks and sensor networks, algorithm optimization for intelligent wireless and mobile networks, optic-based wireless networks, bio-inspired algorithms and methods for wireless networks and sensor networks and more. The diverse topics include deep learning in mobile device sensors, optimized wireless propagation models, underwater communication through hybrid optical wireless networks, sensor technology for advanced agriculture, sensors as attack and defense mechanisms for vehicles, wireless underground sensor networks for smart cities, IoT-based biosensors in smart healthcare applications, and more.



Advances In Electrodermal Activity Processing With Applications For Mental Health


Advances In Electrodermal Activity Processing With Applications For Mental Health
DOWNLOAD
Author : Alberto Greco
language : en
Publisher: Springer
Release Date : 2016-11-17

Advances In Electrodermal Activity Processing With Applications For Mental Health written by Alberto Greco and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-17 with Medical categories.


This book explores Autonomic Nervous System (ANS) dynamics as investigated through Electrodermal Activity (EDA) processing. It presents groundbreaking research in the technical field of biomedical engineering, especially biomedical signal processing, as well as clinical fields of psychometrics, affective computing, and psychological assessment. This volume describes some of the most complete, effective, and personalized methodologies for extracting data from a non-stationary, nonlinear EDA signal in order to characterize the affective and emotional state of a human subject. These methodologies are underscored by discussion of real-world applications in mood assessment. The text also examines the physiological bases of emotion recognition through noninvasive monitoring of the autonomic nervous system. This is an ideal book for biomedical engineers, physiologists, neuroscientists, engineers, applied mathmeticians, psychiatric and psychological clinicians, and graduate students in these fields. This book also: Expertly introduces a novel approach for EDA analysis based on convex optimization and sparsity, a topic of rapidly increasing interest Authoritatively presents groundbreaking research achieved using EDA as an exemplary biomarker of ANS dynamics Deftly explores EDA's potential as a source of reliable and effective markers for the assessment of emotional responses in healthy subjects, as well as for the recognition of pathological mood states in bipolar patients



Machine Learning For Advanced Functional Materials


Machine Learning For Advanced Functional Materials
DOWNLOAD
Author : Nirav Joshi
language : en
Publisher: Springer Nature
Release Date : 2023-05-22

Machine Learning For Advanced Functional Materials written by Nirav Joshi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-22 with Science categories.


This book presents recent advancements of machine learning methods and their applications in material science and nanotechnologies. It provides an introduction to the field and for those who wish to explore machine learning in modeling as well as conduct data analyses of material characteristics. The book discusses ways to enhance the material’s electrical and mechanical properties based on available regression methods for supervised learning and optimization of material attributes. In summary, the growing interest among academics and professionals in the field of machine learning methods in functional nanomaterials such as sensors, solar cells, and photocatalysis is the driving force for behind this book. This is a comprehensive scientific reference book on machine learning for advanced functional materials and provides an in-depth examination of recent achievements in material science by focusing on topical issues using machine learning methods.



A Practical Introduction To Human In The Loop Cyber Physical Systems


A Practical Introduction To Human In The Loop Cyber Physical Systems
DOWNLOAD
Author : David Nunes
language : en
Publisher: John Wiley & Sons
Release Date : 2018-02-05

A Practical Introduction To Human In The Loop Cyber Physical Systems written by David Nunes and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-05 with Technology & Engineering categories.


The first book focusing on one of the hottest new topics in Internet of Things systems research and development Studies estimate that by 2020 we will have a vast Internet of Things (IoT) network comprising 26 billion connected devices, including everything from light bulbs to refrigerators, coffee makers to cars. From the beginning, the concept of cyber-physical systems (CPS), or the sensing and control of physical phenomena through networks of devices that work together to achieve common goals, has been implicit in the IoT enterprise. This book focuses on the increasingly hot topic of Human-in-the-loop Cyber-Physical Systems (HiTLCPS)—CPSs that incorporate human responses in IoT equation. Why have we not yet integrated the human component into CPSs? What are the major challenges to achieving HiTLCPS? How can we take advantage of ubiquitous sensing platforms, such as smartphones and personal devices to achieve that goal? While mature HiTLCPS designs have yet to be achieved, or a general consensus reached on underlying HiTLCPS requirements, principles, and theory, researchers and developers worldwide are on the cusp of realizing them. With contributions from researchers at the cutting edge of HiTLCPS R&D, this book addresses many of these questions from the theoretical and practical points of view. An essential primer on a rapidly emerging Internet-of-Things concept, focusing on human-centric applications Discusses new topics which, until now, have only been available in research papers scattered throughout the world literature Addressed fundamental concepts in depth while providing practical insights into the development of complete HiTLCPS systems Includes a companion website containing full source-code for all of the applications described This book is an indispensable resource for researchers and app developers eager to explore HiTL concepts and include them into their designs. It is also an excellent primer for advanced undergraduates and graduate students studying IoT, CPS, and HiTLCPS.



Emotion Recognition Using Brain Computer Interfaces And Advanced Artificial Intelligence


Emotion Recognition Using Brain Computer Interfaces And Advanced Artificial Intelligence
DOWNLOAD
Author : Yizhang Jiang
language : en
Publisher: Frontiers Media SA
Release Date : 2023-02-17

Emotion Recognition Using Brain Computer Interfaces And Advanced Artificial Intelligence written by Yizhang Jiang and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-17 with Science categories.




Advancements In Instrumentation And Control In Applied System Applications


Advancements In Instrumentation And Control In Applied System Applications
DOWNLOAD
Author : Bhattacharya, Srijan
language : en
Publisher: IGI Global
Release Date : 2020-03-27

Advancements In Instrumentation And Control In Applied System Applications written by Bhattacharya, Srijan and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-27 with Computers categories.


As technology continues to advance in today’s global market, practitioners are targeting systems with significant levels of applicability and variance. Instrumentation is a multidisciplinary subject that provides a wide range of usage in several professional fields, specifically engineering. Instrumentation plays a key role in numerous daily processes and has seen substantial advancement in recent years. It is of utmost importance for engineering professionals to understand the modern developments of instruments and how they affect everyday life. Advancements in Instrumentation and Control in Applied System Applications is a collection of innovative research on the methods and implementations of instrumentation in real-world practices including communication, transportation, and biomedical systems. While highlighting topics including smart sensor design, medical image processing, and atrial fibrillation, this book is ideally designed for researchers, software engineers, technologists, developers, scientists, designers, IT professionals, academicians, and post-graduate students seeking current research on recent developments within instrumentation systems and their applicability in daily life.



Artificial Intelligence And Multimodal Signal Processing In Human Machine Interaction


Artificial Intelligence And Multimodal Signal Processing In Human Machine Interaction
DOWNLOAD
Author : Abdulhamit Subasi
language : en
Publisher: Elsevier
Release Date : 2024-09-18

Artificial Intelligence And Multimodal Signal Processing In Human Machine Interaction written by Abdulhamit Subasi and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-18 with Science categories.


Artificial Intelligence and Multimodal Signal Processing in Human-Machine Interaction presents an overview of an emerging field that is concerned with exploiting multiple modalities of communication in both Artificial Intelligence and Human-Machine Interaction. The book not only provides cross disciplinary research in the fields of multimodal signal acquisition and sensing, analysis, IoTs (Internet of Things), Artificial Intelligence, and system architectures, it also evaluates the role of Artificial Intelligence I in relation to the realization of contemporary Human Machine Interaction (HMI) systems.Readers are introduced to the multimodal signals and their role in the identification of the intended subjects, mental state and the realization of HMI systems are explored, and the applications of signal processing and machine/ensemble/deep learning for HMIs are assessed. A description of proposed methodologies is provided, and related works are also presented. This is a valuable resource for researchers, health professionals, postgraduate students, post doc researchers and faculty members in the fields of HMIs, Brain-Computer Interface (BCI), Prosthesis, Computer vision, and Mental state estimation, and all those who wish to broaden their knowledge in the allied field. - Covers advances in the multimodal signal processing and artificial intelligence assistive HMIs - Presents theories, algorithms, realizations, applications, approaches, and challenges that will have their impact and contribution in the design and development of modern and effective HMI (Human Machine Interaction) system - Presents different aspects of the multimodal signals, from the sensing to analysis using hardware/software, and making use of machine/ensemble/deep learning in the intended problem-solving



Machine Learning And Python For Human Behavior Emotion And Health Status Analysis


Machine Learning And Python For Human Behavior Emotion And Health Status Analysis
DOWNLOAD
Author : Md Zia Uddin
language : en
Publisher: CRC Press
Release Date : 2024-08-30

Machine Learning And Python For Human Behavior Emotion And Health Status Analysis written by Md Zia Uddin and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-30 with Computers categories.


This book is a practical guide for individuals interested in exploring and implementing smart home applications using Python. Comprising six chapters enriched with hands-on codes, it seamlessly navigates from foundational concepts to cutting-edge technologies, balancing theoretical insights and practical coding experiences. In short, it is a gateway to the dynamic intersection of Python programming, smart home technology, and advanced machine learning applications, making it an invaluable resource for those eager to explore this rapidly growing field. Key Features: Throughout the book, practicality takes precedence, with hands-on coding examples accompanying each concept to facilitate an interactive learning journey Striking a harmonious balance between theoretical foundations and practical coding, the book caters to a diverse audience, including smart home enthusiasts and researchers The content prioritizes real-world applications, ensuring readers can immediately apply the knowledge gained to enhance smart home functionalities Covering Python basics, feature extraction, deep learning, and XAI, the book provides a comprehensive guide, offering an overall understanding of smart home applications