Self Powered Wearable Iot Devices For Health And Activity Monitoring

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Self-Powered Wearable IoT Devices for Health and Activity Monitoring

Author : Ganapati Bhat
Publisher :
ISBN 13 : 9781680837483
Total Pages : 138 pages
Book Rating : 4.8/5 (374 download)

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Book Synopsis Self-Powered Wearable IoT Devices for Health and Activity Monitoring by : Ganapati Bhat

Download or read book Self-Powered Wearable IoT Devices for Health and Activity Monitoring written by Ganapati Bhat and published by . This book was released on 2020-11-19 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wearable devices have the potential to transform multiple facets of human life, including healthcare, activity monitoring, and interaction with computers. At the same time, a number of technical and adaption challenges hinder widespread and daily usage of wearable devices. Recent research efforts have focused on identifying these challenges and solving them such that the potential of wearable devices can be realized. In this monograph, the authors guide the reader through the state-of-the-art of wearable devices, detailing the challenges that researchers and designers face in achieving wide-adoption of the technology throughout society. The authors also identify the application areas where these devices are most likely to gain acceptance. They point the way to overcoming these challenges by detailing the recent advances in providing physically flexible designs, the energy management for such designs and finally consider some of the security and privacy aspects of wearable devices such that user compliance can be improved. This monograph serves as a comprehensive resource for challenges and solutions towards self-powered wearable devices for health and activity monitoring.

Self-powered wearable IoT sensors as human-machine interfaces

Author : Yuan Xi
Publisher : OAE Publishing Inc.
ISBN 13 :
Total Pages : 34 pages
Book Rating : 4./5 ( download)

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Book Synopsis Self-powered wearable IoT sensors as human-machine interfaces by : Yuan Xi

Download or read book Self-powered wearable IoT sensors as human-machine interfaces written by Yuan Xi and published by OAE Publishing Inc.. This book was released on 2023-08-01 with total page 34 pages. Available in PDF, EPUB and Kindle. Book excerpt: Self-powered wearable Internet of Things (IoT) sensors have made a significant impact on human life and health in recent years. These sensors are known for their convenience, durability, affordability, and longevity, leading to substantial improvements in people’s lives. This review summarizes the development of self-powered wearable IoT sensors in recent years. Materials for self-powered wearable sensors are summarized and evaluated, including nanomaterials, flexible materials, and degradable materials. The working mode of self-powered wearable IoT sensors is analyzed, and the different principles of its physical sensing and chemical sensing are explained. Several common technologies for self-powered wearable IoT sensors are presented, such as triboelectric technology, piezoelectric technology, and machine learning. The applications of self-powered IoT wearable sensors in human-machine interfaces are reviewed. Its current shortcomings and prospects for its future development are also discussed. To conduct this review, a comprehensive literature search was performed using several electronic databases, resulting in the inclusion of 225 articles. The gathered data was extracted, synthesized, and analyzed using a thematic analysis approach. This review provides a comprehensive analysis and summary of its working mode, technologies, and applications and provides references and inspiration for related research in this field. Furthermore, this review also identifies the key directions and challenges for future research.

Self-Powered Internet of Things

Author : Muhammad Moid Sandhu
Publisher : Springer Nature
ISBN 13 : 303127685X
Total Pages : 175 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Self-Powered Internet of Things by : Muhammad Moid Sandhu

Download or read book Self-Powered Internet of Things written by Muhammad Moid Sandhu and published by Springer Nature. This book was released on 2023-06-16 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers cutting edge advancements on self-powered Internet of Things, where sensing devices can be energy-positive while capturing context from the physical world. It provides new mechanisms for activity recognition without the need of conventional inertial sensors, which demand significant energy during their operation and thus quickly deplete the batteries of internet-of-things (IoT) devices. The book offers new solutions by employing energy harvesters as activity sensors as well as power sources to enable the autonomous and self-powered operation of IoT devices without the need of human intervention. It provides useful content for graduate students as well as researchers to understand the nascent technologies of human activity, fitness and health monitoring using autonomous sensors. In particular, this book is very useful for people working on pervasive computing, activity recognition, wearable IoT, fitness/healthcare and autonomous systems. This book covers a broad range of topics related to self-powered activity recognition. The main topics of this book include wearables, IoT, energy harvesting, energy harvesters as sensors, activity recognition and self-powered operation of IoT devices. This book starts with the introduction of wearable IoT devices and activity recognition and then highlights the conventional activity recognition mechanisms. After that, it describes the use of energy harvesters to power the IoT devices. Later, it explores the use of various energy harvesters as activity sensors. It also proposes the use of energy harvesters as simultaneous source of energy and context information and defines the emerging concept of energy-positive sensing compared to conventional energy-negative sensing. Finally, it explores sensor/signal fusion to enhance the performance using multiple energy harvesters and charts a way forward for future research in this area. This book covers all important and emerging topics that have significance in the design and implementation of autonomous wearable IoT devices. We believe that this book will lay the foundation for designing self-powered IoT devices which can ultimately replace the conventional wearable IoT devices which need regular recharging and replacement.

Recent Advancements in Smart Remote Patient Monitoring, Wearable Devices, and Diagnostics Systems

Author : Zeshan, Furkh
Publisher : IGI Global
ISBN 13 : 1668464357
Total Pages : 299 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Recent Advancements in Smart Remote Patient Monitoring, Wearable Devices, and Diagnostics Systems by : Zeshan, Furkh

Download or read book Recent Advancements in Smart Remote Patient Monitoring, Wearable Devices, and Diagnostics Systems written by Zeshan, Furkh and published by IGI Global. This book was released on 2023-01-13 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: Different healthcare technologies have been in use for decades. These technologies are continuously evolving and changing the way medicine will be practiced in the future. These technologies allow medical practice from anywhere, at any time, and from any device. These technologies are mainly concerned with the resources, devices, and methods required to optimize the acquisition, storage, retrieval, processing, and use of information in health. Recent Advancements in Smart Remote Patient Monitoring, Wearable Devices, and Diagnostics Systems provides relevant theoretical and practical frameworks, as well as the latest empirical research findings in the area. It provides insights and supports executives concerned with remote patient monitoring through wearable devices and diagnostics systems. Covering topics such as cloud computing, obesity monitoring systems, and photoacoustic imaging, this premier reference source is an essential resource for hospital administrators, medical technicians, healthcare professionals, medical students and educators, librarians, researchers, and academicians.

Pervasive Cardiovascular and Respiratory Monitoring Devices

Author : Miodrag Bolic
Publisher : Elsevier
ISBN 13 : 0128209488
Total Pages : 490 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Pervasive Cardiovascular and Respiratory Monitoring Devices by : Miodrag Bolic

Download or read book Pervasive Cardiovascular and Respiratory Monitoring Devices written by Miodrag Bolic and published by Elsevier. This book was released on 2023-06-22 with total page 490 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pervasive Cardiac and Respiratory Monitoring Devices: Model-Based Design is the first book to combine biomedical instrumentation and model-based design. As the scope is limited to cardiac and respiratory devices only, this book offers more depth of information on these devices; focusing in on signals used for home monitoring and offering additional analysis of these devices. The author offers an insight into new industry and research trends, including advances in contactless monitoring of breathing and heart rate. Each chapter presents a section on current trends. As instrumentation as a field is becoming increasingly smart, basic signal processing is also discussed. Real case-studies for each modelling approach are used, primarily covering blood pressure, ECG and radar-based devices. This title is ideal for teaching and supporting learning as it is written in an accessible style and a solutions manual for the problem sets is provided. It will be useful to 4th year undergraduate students, graduate/masters/PhD students, early career researchers and professionals working on an interdisciplinary project; as it introduces the field and provides real world applications. For engineers this book solves the problem of how to assess and calibrate a medical device to ensure the data collected is trustworthy. For students, this book allows for trying concepts and circuits via simulations and learning modeling techniques. Students will learn concepts from this book and be ready to design bioinstrumentations devices based on specifications/requirements. Focuses on model-based design using Simscape/MATLAB; learn how to design a system and how to evaluate how different choices affect the output of the system Covers pervasive monitoring: shows how to design optimal solutions for pervasive and personalized healthcare monitoring Explores uncertainty and sensitivity analysis; understand your model better

Low-power Wearable Healthcare Sensors

Author : R. Simon Sherratt
Publisher : MDPI
ISBN 13 : 3039364790
Total Pages : 146 pages
Book Rating : 4.0/5 (393 download)

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Book Synopsis Low-power Wearable Healthcare Sensors by : R. Simon Sherratt

Download or read book Low-power Wearable Healthcare Sensors written by R. Simon Sherratt and published by MDPI. This book was released on 2020-12-29 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in technology have produced a range of on-body sensors and smartwatches that can be used to monitor a wearer’s health with the objective to keep the user healthy. However, the real potential of such devices not only lies in monitoring but also in interactive communication with expert-system-based cloud services to offer personalized and real-time healthcare advice that will enable the user to manage their health and, over time, to reduce expensive hospital admissions. To meet this goal, the research challenges for the next generation of wearable healthcare devices include the need to offer a wide range of sensing, computing, communication, and human–computer interaction methods, all within a tiny device with limited resources and electrical power. This Special Issue presents a collection of six papers on a wide range of research developments that highlight the specific challenges in creating the next generation of low-power wearable healthcare sensors.

Sensor Data Analysis and Management

Author : A. Suresh
Publisher : John Wiley & Sons
ISBN 13 : 1119682428
Total Pages : 228 pages
Book Rating : 4.1/5 (196 download)

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Book Synopsis Sensor Data Analysis and Management by : A. Suresh

Download or read book Sensor Data Analysis and Management written by A. Suresh and published by John Wiley & Sons. This book was released on 2021-11-22 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover detailed insights into the methods, algorithms, and techniques for deep learning in sensor data analysis Sensor Data Analysis and Management: The Role of Deep Learning delivers an insightful and practical overview of the applications of deep learning techniques to the analysis of sensor data. The book collects cutting-edge resources into a single collection designed to enlighten the reader on topics as varied as recent techniques for fault detection and classification in sensor data, the application of deep learning to Internet of Things sensors, and a case study on high-performance computer gathering and processing of sensor data. The editors have curated a distinguished group of perceptive and concise papers that show the potential of deep learning as a powerful tool for solving complex modelling problems across a broad range of industries, including predictive maintenance, health monitoring, financial portfolio forecasting, and driver assistance. The book contains real-time examples of analyzing sensor data using deep learning algorithms and a step-by-step approach for installing and training deep learning using the Python keras library. Readers will also benefit from the inclusion of: A thorough introduction to the Internet of Things for human activity recognition, based on wearable sensor data An exploration of the benefits of neural networks in real-time environmental sensor data analysis Practical discussions of supervised learning data representation, neural networks for predicting physical activity based on smartphone sensor data, and deep-learning analysis of location sensor data for human activity recognition An analysis of boosting with XGBoost for sensor data analysis Perfect for industry practitioners and academics involved in deep learning and the analysis of sensor data, Sensor Data Analysis and Management: The Role of Deep Learning will also earn a place in the libraries of undergraduate and graduate students in data science and computer science programs.

Biochemical Sensors (In 2 Volumes)

Author : Huangxian Ju
Publisher : World Scientific
ISBN 13 : 9811237727
Total Pages : 997 pages
Book Rating : 4.8/5 (112 download)

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Book Synopsis Biochemical Sensors (In 2 Volumes) by : Huangxian Ju

Download or read book Biochemical Sensors (In 2 Volumes) written by Huangxian Ju and published by World Scientific. This book was released on 2021-06-08 with total page 997 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the full scope of biochemical sensors and offers a survey of the principles, design and applications of the most popular types of biosensing devices. It is presented in 19 chapters, written by 20 distinguished scientists as well as their co-workers. The topics include the design of signal transducers, signal tags and signal amplification strategies, the structure of biosensing interfaces with new biorecognition elements such as aptamers and DNAzymes, and different newly emerging nanomaterials such as Au nanoclusters, carbon nitride, silicon, upconversion nanoparticles and two-dimensional materials, and the applications in wearable detections, biofuel cells, biomarker analyses, bioimaging, single cell analysis and in vivo sensing.By discussing recent advances, it is hoped this book will bridge the common gap between research literature and standard textbooks. Research into biochemical sensors and their biomedical applications is proceeding in a number of exciting directions, as reflected by the content. This book is published in honor of the 90th birthday of Professor Shaojun Dong, who performed many pioneering studies on modified electrodes and biochemical sensors.

Data Analytics and Applications of the Wearable Sensors in Healthcare

Author : Shabbir Syed-Abdul
Publisher : MDPI
ISBN 13 : 3039363506
Total Pages : 498 pages
Book Rating : 4.0/5 (393 download)

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Book Synopsis Data Analytics and Applications of the Wearable Sensors in Healthcare by : Shabbir Syed-Abdul

Download or read book Data Analytics and Applications of the Wearable Sensors in Healthcare written by Shabbir Syed-Abdul and published by MDPI. This book was released on 2020-06-17 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a collection of comprehensive research articles on data analytics and applications of wearable devices in healthcare. This Special Issue presents 28 research studies from 137 authors representing 37 institutions from 19 countries. To facilitate the understanding of the research articles, we have organized the book to show various aspects covered in this field, such as eHealth, technology-integrated research, prediction models, rehabilitation studies, prototype systems, community health studies, ergonomics design systems, technology acceptance model evaluation studies, telemonitoring systems, warning systems, application of sensors in sports studies, clinical systems, feasibility studies, geographical location based systems, tracking systems, observational studies, risk assessment studies, human activity recognition systems, impact measurement systems, and a systematic review. We would like to take this opportunity to invite high quality research articles for our next Special Issue entitled “Digital Health and Smart Sensors for Better Management of Cancer and Chronic Diseases” as a part of Sensors journal.

Wearable Sensors

Author : S Mukhopadhyay
Publisher : Myprint
ISBN 13 : 9780750318945
Total Pages : 342 pages
Book Rating : 4.3/5 (189 download)

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Book Synopsis Wearable Sensors by : S Mukhopadhyay

Download or read book Wearable Sensors written by S Mukhopadhyay and published by Myprint. This book was released on 2017-12-18 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Fundamentals of IoT and Wearable Technology Design

Author : Haider Raad
Publisher : John Wiley & Sons
ISBN 13 : 1119617537
Total Pages : 304 pages
Book Rating : 4.1/5 (196 download)

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Book Synopsis Fundamentals of IoT and Wearable Technology Design by : Haider Raad

Download or read book Fundamentals of IoT and Wearable Technology Design written by Haider Raad and published by John Wiley & Sons. This book was released on 2021-01-20 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore this indispensable guide covering the fundamentals of IOT and wearable devices from a leading voice in the field Fundamentals of IoT and Wearable Technology Design delivers a comprehensive exploration of the foundations of the Internet of Things (IoT) and wearable technology. Throughout the textbook, the focus is on IoT and wearable technology and their applications, including mobile health, environment, home automation, and smart living. Readers will learn about the most recent developments in the design and prototyping of these devices. This interdisciplinary work combines technical concepts from electrical, mechanical, biomedical, computer, and industrial engineering, all of which are used in the design and manufacture of IoT and wearable devices. Fundamentals of IoT and Wearable Technology Design thoroughly investigates the foundational characteristics, architectural aspects, and practical considerations, while offering readers detailed and systematic design and prototyping processes of typical use cases representing IoT and wearable technology. Later chapters discuss crucial issues, including PCB design, cloud and edge topologies, privacy and health concerns, and regulatory policies. Readers will also benefit from the inclusion of: A thorough introduction to the applications of IoT and wearable technology, including biomedicine and healthcare, fitness and wellbeing, sports, home automation, and more Discussions of wearable components and technologies, including microcontrollers and microprocessors, sensors, actuators and communication modules An exploration of the characteristics and basics of the communication protocols and technologies used in IoT and wearable devices An overview of the most important security challenges, threats, attacks and vulnerabilities faced by IoT and wearable devices along with potential solutions Perfect for research and development scientists working in the wearable technology and Internet of Things spaces, Fundamentals of IoT and Wearable Technology Design will also earn a place in the libraries of undergraduate and graduate students studying wearable technology and IoT, as well as professors and practicing technologists in the area.

Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing

Author : Sudeep Pasricha
Publisher : Springer Nature
ISBN 13 : 303140677X
Total Pages : 571 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing by : Sudeep Pasricha

Download or read book Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing written by Sudeep Pasricha and published by Springer Nature. This book was released on 2023-11-07 with total page 571 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent advances towards the goal of enabling efficient implementation of machine learning models on resource-constrained systems, covering different application domains. The focus is on presenting interesting and new use cases of applying machine learning to innovative application domains, exploring the efficient hardware design of efficient machine learning accelerators, memory optimization techniques, illustrating model compression and neural architecture search techniques for energy-efficient and fast execution on resource-constrained hardware platforms, and understanding hardware-software codesign techniques for achieving even greater energy, reliability, and performance benefits. Discusses efficient implementation of machine learning in embedded, CPS, IoT, and edge computing; Offers comprehensive coverage of hardware design, software design, and hardware/software co-design and co-optimization; Describes real applications to demonstrate how embedded, CPS, IoT, and edge applications benefit from machine learning.

Low-power Wearable Healthcare Sensors

Author : R. Simon Sherratt
Publisher :
ISBN 13 : 9783039364800
Total Pages : 146 pages
Book Rating : 4.3/5 (648 download)

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Book Synopsis Low-power Wearable Healthcare Sensors by : R. Simon Sherratt

Download or read book Low-power Wearable Healthcare Sensors written by R. Simon Sherratt and published by . This book was released on 2020 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in technology have produced a range of on-body sensors and smartwatches that can be used to monitor a wearer's health with the objective to keep the user healthy. However, the real potential of such devices not only lies in monitoring but also in interactive communication with expert-system-based cloud services to offer personalized and real-time healthcare advice that will enable the user to manage their health and, over time, to reduce expensive hospital admissions. To meet this goal, the research challenges for the next generation of wearable healthcare devices include the need to offer a wide range of sensing, computing, communication, and human-computer interaction methods, all within a tiny device with limited resources and electrical power. This Special Issue presents a collection of six papers on a wide range of research developments that highlight the specific challenges in creating the next generation of low-power wearable healthcare sensors.

Healthcare Paradigms in the Internet of Things Ecosystem

Author : Valentina Emilia Balas
Publisher : Academic Press
ISBN 13 : 0128199202
Total Pages : 412 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Healthcare Paradigms in the Internet of Things Ecosystem by : Valentina Emilia Balas

Download or read book Healthcare Paradigms in the Internet of Things Ecosystem written by Valentina Emilia Balas and published by Academic Press. This book was released on 2020-11-07 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: Health Care Paradigms in the Internet of Things Ecosystem brings all IoT-enabled health care related technologies into a single platform so that undergraduate and postgraduate students, researchers, academicians and industry leaders can easily understand IoT-based healthcare systems. The book uses data and network engineering and intelligent decision support system-by-design principles to design a reliable IoT-enabled health care ecosystem and to implement cyber-physical pervasive infrastructure solutions. It takes the reader on a journey that begins with understanding the healthcare monitoring paradigm in IoT-enabled technologies and how it can be applied in various aspects. In addition, the book walks readers through real-time challenges and presents a guide on how to build a safe infrastructure for IoT-based health care. It also helps researchers and practitioners understand the e-health care architecture through IoT and the state-of-the-art in IoT countermeasures. Readers will find this to be a comprehensive discussion on functional frameworks for IoT-based healthcare systems, intelligent medicine, RFID technology, HMI, Cognitive Interpretation, Brain-Computer Interface, Remote Health Monitoring systems, wearable sensors, WBAN, and security and privacy issues in IoT-based health care monitoring systems. Presents the complete functional framework workflow in IoT-enabled healthcare technologies Explains concepts of location-aware protocols and decisive mobility in IoT healthcare Provides complete coverage of intelligent data processing and wearable sensor technologies in IoT-enabled healthcare Explores the Human Machine Interface and its implications in patient-care systems in IoT healthcare Explores security and privacy issues and challenges related to data-intensive technologies in healthcare-based Internet of Things

IoT Sensor-Based Activity Recognition

Author : Md Atiqur Rahman Ahad
Publisher : Springer Nature
ISBN 13 : 3030513793
Total Pages : 214 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis IoT Sensor-Based Activity Recognition by : Md Atiqur Rahman Ahad

Download or read book IoT Sensor-Based Activity Recognition written by Md Atiqur Rahman Ahad and published by Springer Nature. This book was released on 2020-07-30 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offer clear descriptions of the basic structure for the recognition and classification of human activities using different types of sensor module and smart devices in e.g. healthcare, education, monitoring the elderly, daily human behavior, and fitness monitoring. In addition, the complexities, challenges, and design issues involved in data collection, processing, and other fundamental stages along with datasets, methods, etc., are discussed in detail. The book offers a valuable resource for readers in the fields of pattern recognition, human–computer interaction, and the Internet of Things.

Integrated Smart Micro-Systems Towards Personalized Healthcare

Author : Yu Song
Publisher : John Wiley & Sons
ISBN 13 : 352783348X
Total Pages : 224 pages
Book Rating : 4.5/5 (278 download)

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Book Synopsis Integrated Smart Micro-Systems Towards Personalized Healthcare by : Yu Song

Download or read book Integrated Smart Micro-Systems Towards Personalized Healthcare written by Yu Song and published by John Wiley & Sons. This book was released on 2021-12-09 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: Integrated Smart Micro-Systems Towards Personalized Healthcare Presents a thorough summary of recent advances in microelectronic systems and their applications for personalized healthcare Integrated Smart Micro-Systems Towards Personalized Healthcare provides up-to-date coverage of developments in smart microelectronics and their applications in health-related areas such as sports safety, remote diagnosis, and closed-loop health management. Using a comprehensive approach to the rapidly growing field, this one-stop resource examines different methods, designs, materials, and applications of systems such as multi-modal sensing biomedical platforms and non-invasive health monitoring sensors. The book’s five parts detail the core units of micro-systems, self-charging power units, self-driven monitor patches, self-powered sensing platforms, and integrated health monitoring systems. Succinct chapters address topics including multi-functional material optimization, multi-dimensional electrode preparation, multi-scene application display, and the use of multi-modal signal sensing to monitor physical and chemical indicators during exercise. Throughout the text, the authors offer key insights on device performance improvement, reliable fabrication processing, and compatible integration designs. Provides an overview self-powered, wearable micro-systems with emphasis on personalized healthcare Covers the working mechanisms and structural design of different energy-harvesting units, energy storage units, and functional units Introduces an integrated self-charging power unit consisting of triboelectric nanogenerators with supercapacitor Describes a general solution-evaporation method for developing porous CNT-PDMS conductive elastomers Examines a fully-integrated self-powered sweat sensing platform built on a wearable freestanding-mode triboelectric nanogenerator Integrated Smart Micro-Systems Towards Personalized Healthcare is an essential text for researchers, electronic engineers, entrepreneurs, and industry professionals working in material science, electronics, mechanical engineering, bioengineering, and sensor development.

Human Activity Recognition

Author : Miguel A. Labrador
Publisher : CRC Press
ISBN 13 : 1466588284
Total Pages : 206 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Human Activity Recognition by : Miguel A. Labrador

Download or read book Human Activity Recognition written by Miguel A. Labrador and published by CRC Press. This book was released on 2013-12-05 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn How to Design and Implement HAR Systems The pervasiveness and range of capabilities of today's mobile devices have enabled a wide spectrum of mobile applications that are transforming our daily lives, from smartphones equipped with GPS to integrated mobile sensors that acquire physiological data. Human Activity Recognition: Using Wearable Sen