Iot Sensor Based Activity Recognition

Download Iot Sensor Based Activity Recognition full books in PDF, epub, and Kindle. Read online Iot Sensor Based Activity Recognition ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

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)

DOWNLOAD NOW!

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.

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)

DOWNLOAD NOW!

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.

Emerging Trends in IoT and Integration with Data Science, Cloud Computing, and Big Data Analytics

Author : Taser, Pelin Yildirim
Publisher : IGI Global
ISBN 13 : 1799841871
Total Pages : 334 pages
Book Rating : 4.7/5 (998 download)

DOWNLOAD NOW!

Book Synopsis Emerging Trends in IoT and Integration with Data Science, Cloud Computing, and Big Data Analytics by : Taser, Pelin Yildirim

Download or read book Emerging Trends in IoT and Integration with Data Science, Cloud Computing, and Big Data Analytics written by Taser, Pelin Yildirim and published by IGI Global. This book was released on 2021-11-05 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: The internet of things (IoT) has emerged to address the need for connectivity and seamless integration with other devices as well as big data platforms for analytics. However, there are challenges that IoT-based applications face including design and implementation issues; connectivity problems; data gathering, storing, and analyzing in cloud-based environments; and IoT security and privacy issues. Emerging Trends in IoT and Integration with Data Science, Cloud Computing, and Big Data Analytics is a critical reference source that provides theoretical frameworks and research findings on IoT and big data integration. Highlighting topics that include wearable sensors, machine learning, machine intelligence, and mobile computing, this book serves professionals who want to improve their understanding of the strategic role of trust at different levels of the information and knowledge society. It is therefore of most value to data scientists, computer scientists, data analysts, IT specialists, academicians, professionals, researchers, and students working in the field of information and knowledge management in various disciplines that include but are not limited to information and communication sciences, administrative sciences and management, education, sociology, computer science, etc. Moreover, the book provides insights and supports executives concerned with the management of expertise, knowledge, information, and organizational development in different types of work communities and environments.

Advancements in Instrumentation and Control in Applied System Applications

Author : Bhattacharya, Srijan
Publisher : IGI Global
ISBN 13 : 179982585X
Total Pages : 298 pages
Book Rating : 4.7/5 (998 download)

DOWNLOAD NOW!

Book Synopsis Advancements in Instrumentation and Control in Applied System Applications by : Bhattacharya, Srijan

Download or read book Advancements in Instrumentation and Control in Applied System Applications written by Bhattacharya, Srijan and published by IGI Global. This book was released on 2020-03-27 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Sensors and Actuators in Smart Cities

Author : Mohammad Hammoudeh
Publisher : MDPI
ISBN 13 : 3038428736
Total Pages : 193 pages
Book Rating : 4.0/5 (384 download)

DOWNLOAD NOW!

Book Synopsis Sensors and Actuators in Smart Cities by : Mohammad Hammoudeh

Download or read book Sensors and Actuators in Smart Cities written by Mohammad Hammoudeh and published by MDPI. This book was released on 2018-05-04 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a printed edition of the Special Issue "Sensors and Actuators in Smart Cities" that was published in JSAN

Sensor- and Video-Based Activity and Behavior Computing

Author : Md Atiqur Rahman Ahad
Publisher : Springer Nature
ISBN 13 : 9811903611
Total Pages : 268 pages
Book Rating : 4.8/5 (119 download)

DOWNLOAD NOW!

Book Synopsis Sensor- and Video-Based Activity and Behavior Computing by : Md Atiqur Rahman Ahad

Download or read book Sensor- and Video-Based Activity and Behavior Computing written by Md Atiqur Rahman Ahad and published by Springer Nature. This book was released on 2022-05-03 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the best-selected research papers presented at the 3rd International Conference on Activity and Behavior Computing (ABC 2021), during 20–22 October 2021. The book includes works related to the field of vision- and sensor-based human action or activity and behavior analysis and recognition. It covers human activity recognition (HAR), action understanding, gait analysis, gesture recognition, behavior analysis, emotion, and affective computing, and related areas. The book addresses various challenges and aspects of human activity recognition—both in sensor-based and vision-based domains. It can be considered as an excellent treasury related to the human activity and behavior computing.

Vision, Sensing and Analytics: Integrative Approaches

Author : Md Atiqur Rahman Ahad
Publisher : Springer Nature
ISBN 13 : 3030754901
Total Pages : 416 pages
Book Rating : 4.0/5 (37 download)

DOWNLOAD NOW!

Book Synopsis Vision, Sensing and Analytics: Integrative Approaches by : Md Atiqur Rahman Ahad

Download or read book Vision, Sensing and Analytics: Integrative Approaches written by Md Atiqur Rahman Ahad and published by Springer Nature. This book was released on 2021-06-05 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book serves as the first guideline of the integrative approach, optimal for our new and young generations. Recent technology advancements in computer vision, IoT sensors, and analytics open the door to highly impactful innovations and applications as a result of effective and efficient integration of those. Such integration has brought to scientists and engineers a new approach —the integrative approach. This offers far more rapid development and scalable architecting when comparing to the traditional hardcore developmental approach. Featuring biomedical and healthcare challenges including COVID-19, we present a collection of carefully selective cases with significant added- values as a result of integrations, e.g., sensing with AI, analytics with different data sources, and comprehensive monitoring with many different sensors, while sustaining its readability.

Artificial Intelligence for Communications and Networks

Author : Shuai Han
Publisher : Springer
ISBN 13 : 3030229718
Total Pages : 512 pages
Book Rating : 4.0/5 (32 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence for Communications and Networks by : Shuai Han

Download or read book Artificial Intelligence for Communications and Networks written by Shuai Han and published by Springer. This book was released on 2019-07-04 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set LNICST 286-287 constitutes the post-conference proceedings of the First EAI International Conference on Artificial Intelligence for Communications and Networks, AICON 2019, held in Harbin, China, in May 2019. The 93 full papers were carefully reviewed and selected from 152 submissions. The papers are organized in topical sections on artificial intelligence, mobile network, deep learning, machine learning, wireless communication, cognitive radio, internet of things, big data, communication system, pattern recognition, channel model, beamforming, signal processing, 5G, mobile management, resource management, wireless position.

Sensor-Based Human Activity Recognition for Assistive Health Technologies

Author : Muhammad Adeel Nisar
Publisher : Logos Verlag Berlin GmbH
ISBN 13 : 3832555714
Total Pages : 161 pages
Book Rating : 4.8/5 (325 download)

DOWNLOAD NOW!

Book Synopsis Sensor-Based Human Activity Recognition for Assistive Health Technologies by : Muhammad Adeel Nisar

Download or read book Sensor-Based Human Activity Recognition for Assistive Health Technologies written by Muhammad Adeel Nisar and published by Logos Verlag Berlin GmbH. This book was released on 2023-02-20 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: The average age of people has increased due to advances in health sciences, which has led to an increase in the elderly population. This is positive news, but it also raises questions about the quality of independent living for older people. Clinicians use Activities of Daily Living (ADLs) to assess older people's ability to live independently. In recent years, portable computing devices have become more present in our daily lives. Therefore, a software system that can detect ADLs based on sensor data collected from wearable devices is beneficial for detecting health problems and supporting health care. In this context, this book presents several machine learning-based approaches for human activity recognition (HAR) using time-series data collected by wearable sensors in the home environment. In the first part of the book, machine learning-based approaches for atomic activity recognition are presented, which are relatively simple and short-term activities. In the second part, the algorithms for detecting long-term and complex ADLs are presented. In this part, a two-stage recognition framework is also presented, as well as an online recognition system for continuous monitoring of HAR. In the third and final part, a novel approach is proposed that not only solves the problem of data scarcity but also improves the performance of HAR by implementing multitask learning-based methods. The proposed approach simultaneously trains the models of short- and long-term activities, regardless of their temporal scale. The results show that the proposed approach improves classification performance compared to single-task learning.

IoT, Big Data and AI for Improving Quality of Everyday Life: Present and Future Challenges

Author : Pradeep Kumar Singh
Publisher : Springer Nature
ISBN 13 : 3031357833
Total Pages : 386 pages
Book Rating : 4.0/5 (313 download)

DOWNLOAD NOW!

Book Synopsis IoT, Big Data and AI for Improving Quality of Everyday Life: Present and Future Challenges by : Pradeep Kumar Singh

Download or read book IoT, Big Data and AI for Improving Quality of Everyday Life: Present and Future Challenges written by Pradeep Kumar Singh and published by Springer Nature. This book was released on 2023-08-23 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses mainly on the usages of three key technologies: IoT, big data, and AI for various day to day applications. Further, it explores the possibilities of future research based on the usages of latest information systems. This book explores the current research and challenges to be faced by different researchers for building intelligent information solutions using key technologies; IoT, big data, and AI in improving quality of lives in smart cities and explores the limitations and capabilities of these three key computing technologies. The book is organized into three major parts; each part includes chapters exploring a specific topic, and there are: PART-1: IoT for Real World Solutions , (ii) Part-2: Big Data And Cloud Computing for Innovative Solutions For Day to Day Lives, and (iii) Part-3 Artificial Intelligence for Everyday Lives. This book may be useful to the scientists, scholars, and researchers who are working in the field of computer science and engineering, and communication engineering, along with the students in these subjects who are working or willing to work on IoT, big data, and AI technologies for improving quality of everyday life. Specialists as well as student readers find the book chapters encouraging and helpful. IoT, data science & cloud, and AI all are the undergraduate (UG/ bachelor) subjects. Use of these three key technologies for building new applications for better world is helpful for UG and postgraduate (PG/ MS) Programmes students (as an elective and core course). This book may also be very useful for the Ph.D. (research scholars) during their course work and may be used as an instrument to identify the different challenges associated with information systems.

Human Activity Recognition and Prediction

Author : Yun Fu
Publisher : Springer
ISBN 13 : 3319270044
Total Pages : 174 pages
Book Rating : 4.3/5 (192 download)

DOWNLOAD NOW!

Book Synopsis Human Activity Recognition and Prediction by : Yun Fu

Download or read book Human Activity Recognition and Prediction written by Yun Fu and published by Springer. This book was released on 2015-12-23 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a unique view of human activity recognition, especially fine-grained human activity structure learning, human-interaction recognition, RGB-D data based action recognition, temporal decomposition, and causality learning in unconstrained human activity videos. The techniques discussed give readers tools that provide a significant improvement over existing methodologies of video content understanding by taking advantage of activity recognition. It links multiple popular research fields in computer vision, machine learning, human-centered computing, human-computer interaction, image classification, and pattern recognition. In addition, the book includes several key chapters covering multiple emerging topics in the field. Contributed by top experts and practitioners, the chapters present key topics from different angles and blend both methodology and application, composing a solid overview of the human activity recognition techniques.

Wireless Algorithms, Systems, and Applications

Author : Dongxiao Yu
Publisher : Springer Nature
ISBN 13 : 303059016X
Total Pages : 838 pages
Book Rating : 4.0/5 (35 download)

DOWNLOAD NOW!

Book Synopsis Wireless Algorithms, Systems, and Applications by : Dongxiao Yu

Download or read book Wireless Algorithms, Systems, and Applications written by Dongxiao Yu and published by Springer Nature. This book was released on 2020-09-09 with total page 838 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNCS 12385 + 12386 constitutes the proceedings of the 15th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2020, which was held during September 13-15, 2020. The conference was planned to take place in Qingdao, China; due to the COVID-19 pandemic it was held virtually. The 67 full and 14 short papers presented in these proceedings were carefully reviewed and selected from 216 submissions. These submissions cover many hot research topics, including machine-learning algorithms for wireless systems and applications, Internet of Things (IoTs) and related wireless solutions, wireless networking for cyber-physical systems (CPSs), security and privacy solutions for wireless applications, blockchain solutions for mobile applications, mobile edge computing, wireless sensor networks, distributed and localized algorithm design and analysis, wireless crowdsourcing, mobile cloud computing, vehicular networks, wireless solutions for smart cities, wireless algorithms for smart grids, mobile social networks, mobile system security, storage systems for mobile applications, etc.

Contactless Human Activity Analysis

Author : Md Atiqur Rahman Ahad
Publisher : Springer Nature
ISBN 13 : 303068590X
Total Pages : 364 pages
Book Rating : 4.0/5 (36 download)

DOWNLOAD NOW!

Book Synopsis Contactless Human Activity Analysis by : Md Atiqur Rahman Ahad

Download or read book Contactless Human Activity Analysis written by Md Atiqur Rahman Ahad and published by Springer Nature. This book was released on 2021-03-23 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a truly comprehensive, timely, and very much needed treatise on the conceptualization of analysis, and design of contactless & multimodal sensor-based human activities, behavior understanding & intervention. From an interaction design perspective, the book provides views and methods that allow for more safe, trustworthy, efficient, and more natural interaction with technology that will be embedded in our daily living environments. The chapters in this book cover sufficient grounds and depth in related challenges and advances in sensing, signal processing, computer vision, and mathematical modeling. It covers multi-domain applications, including surveillance and elderly care that will be an asset to entry-level and practicing engineers and scientists.(See inside for the reviews from top experts)

Human Activity Sensing

Author : Nobuo Kawaguchi
Publisher : Springer Nature
ISBN 13 : 3030130010
Total Pages : 250 pages
Book Rating : 4.0/5 (31 download)

DOWNLOAD NOW!

Book Synopsis Human Activity Sensing by : Nobuo Kawaguchi

Download or read book Human Activity Sensing written by Nobuo Kawaguchi and published by Springer Nature. This book was released on 2019-09-09 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: Activity recognition has emerged as a challenging and high-impact research field, as over the past years smaller and more powerful sensors have been introduced in wide-spread consumer devices. Validation of techniques and algorithms requires large-scale human activity corpuses and improved methods to recognize activities and the contexts in which they occur. This book deals with the challenges of designing valid and reproducible experiments, running large-scale dataset collection campaigns, designing activity and context recognition methods that are robust and adaptive, and evaluating activity recognition systems in the real world with real users.

Human Activity Recognition and Behaviour Analysis

Author : Liming Chen
Publisher : Springer
ISBN 13 : 3030194086
Total Pages : 255 pages
Book Rating : 4.0/5 (31 download)

DOWNLOAD NOW!

Book Synopsis Human Activity Recognition and Behaviour Analysis by : Liming Chen

Download or read book Human Activity Recognition and Behaviour Analysis written by Liming Chen and published by Springer. This book was released on 2019-06-11 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book first defines the problems, various concepts and notions related to activity recognition, and introduces the fundamental rationale and state-of-the-art methodologies and approaches. It then describes the use of artificial intelligence techniques and advanced knowledge technologies for the modelling and lifecycle analysis of human activities and behaviours based on real-time sensing observations from sensor networks and the Internet of Things. It also covers inference and decision-support methods and mechanisms, as well as personalization and adaptation techniques, which are required for emerging smart human-machine pervasive systems, such as self-management and assistive technologies in smart healthcare. Each chapter includes theoretical background, technological underpinnings and practical implementation, and step-by-step information on how to address and solve specific problems in topical areas. This monograph can be used as a textbook for postgraduate and PhD students on courses such as computer systems, pervasive computing, data analytics and digital health. It is also a valuable research reference resource for postdoctoral candidates and academics in relevant research and application domains, such as data analytics, smart cities, smart energy, and smart healthcare, to name but a few. Moreover, it offers smart technology and application developers practical insights into the use of activity recognition and behaviour analysis in state-of-the-art cyber-physical systems. Lastly, it provides healthcare solution developers and providers with information about the opportunities and possible innovative solutions for personalized healthcare and stratified medicine.

Developments Of Artificial Intelligence Technologies In Computation And Robotics - Proceedings Of The 14th International Flins Conference (Flins 2020)

Download Developments Of Artificial Intelligence Technologies In Computation And Robotics - Proceedings Of The 14th International Flins Conference (Flins 2020) PDF Online Free

Author : Zhong Li
Publisher : World Scientific
ISBN 13 : 9811223343
Total Pages : 1588 pages
Book Rating : 4.8/5 (112 download)

DOWNLOAD NOW!

Book Synopsis Developments Of Artificial Intelligence Technologies In Computation And Robotics - Proceedings Of The 14th International Flins Conference (Flins 2020) by : Zhong Li

Download or read book Developments Of Artificial Intelligence Technologies In Computation And Robotics - Proceedings Of The 14th International Flins Conference (Flins 2020) written by Zhong Li and published by World Scientific. This book was released on 2020-08-04 with total page 1588 pages. Available in PDF, EPUB and Kindle. Book excerpt: FLINS, an acronym introduced in 1994 and originally for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended into a well-established international research forum to advance the foundations and applications of computational intelligence for applied research in general and for complex engineering and decision support systems.The principal mission of FLINS is bridging the gap between machine intelligence and real complex systems via joint research between universities and international research institutions, encouraging interdisciplinary research and bringing multidiscipline researchers together.FLINS 2020 is the fourteenth in a series of conferences on computational intelligence systems.

Deep Learning for Human Activity Recognition

Author : Xiaoli Li
Publisher : Springer Nature
ISBN 13 : 9811605750
Total Pages : 139 pages
Book Rating : 4.8/5 (116 download)

DOWNLOAD NOW!

Book Synopsis Deep Learning for Human Activity Recognition by : Xiaoli Li

Download or read book Deep Learning for Human Activity Recognition written by Xiaoli Li and published by Springer Nature. This book was released on 2021-02-17 with total page 139 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes refereed proceedings of the Second International Workshop on Deep Learning for Human Activity Recognition, DL-HAR 2020, held in conjunction with IJCAI-PRICAI 2020, in Kyoto, Japan, in January 2021. Due to the COVID-19 pandemic the workshop was postponed to the year 2021 and held in a virtual format. The 10 presented papers were thorougly reviewed and included in the volume. They present recent research on applications of human activity recognition for various areas such as healthcare services, smart home applications, and more.