Deep Learning For Human Activity Recognition

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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)

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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.

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

Deep Learning for Time Series Forecasting

Author : Jason Brownlee
Publisher : Machine Learning Mastery
ISBN 13 :
Total Pages : 572 pages
Book Rating : 4./5 ( download)

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Book Synopsis Deep Learning for Time Series Forecasting by : Jason Brownlee

Download or read book Deep Learning for Time Series Forecasting written by Jason Brownlee and published by Machine Learning Mastery. This book was released on 2018-08-30 with total page 572 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep learning methods offer a lot of promise for time series forecasting, such as the automatic learning of temporal dependence and the automatic handling of temporal structures like trends and seasonality. With clear explanations, standard Python libraries, and step-by-step tutorial lessons you’ll discover how to develop deep learning models for your own time series forecasting projects.

Big Data Analytics for Sensor-Network Collected Intelligence

Author : Hui-Huang Hsu
Publisher : Morgan Kaufmann
ISBN 13 : 012809625X
Total Pages : 326 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Big Data Analytics for Sensor-Network Collected Intelligence by : Hui-Huang Hsu

Download or read book Big Data Analytics for Sensor-Network Collected Intelligence written by Hui-Huang Hsu and published by Morgan Kaufmann. This book was released on 2017-02-02 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big Data Analytics for Sensor-Network Collected Intelligence explores state-of-the-art methods for using advanced ICT technologies to perform intelligent analysis on sensor collected data. The book shows how to develop systems that automatically detect natural and human-made events, how to examine people’s behaviors, and how to unobtrusively provide better services. It begins by exploring big data architecture and platforms, covering the cloud computing infrastructure and how data is stored and visualized. The book then explores how big data is processed and managed, the key security and privacy issues involved, and the approaches used to ensure data quality. In addition, readers will find a thorough examination of big data analytics, analyzing statistical methods for data analytics and data mining, along with a detailed look at big data intelligence, ubiquitous and mobile computing, and designing intelligence system based on context and situation. Indexing: The books of this series are submitted to EI-Compendex and SCOPUS Contains contributions from noted scholars in computer science and electrical engineering from around the globe Provides a broad overview of recent developments in sensor collected intelligence Edited by a team comprised of leading thinkers in big data analytics

Human Activity Recognition and Prediction

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

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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.

Body Sensor Networks

Author : Guang-Zhong Yang
Publisher : Springer
ISBN 13 : 1447163745
Total Pages : 564 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Body Sensor Networks by : Guang-Zhong Yang

Download or read book Body Sensor Networks written by Guang-Zhong Yang and published by Springer. This book was released on 2014-04-16 with total page 564 pages. Available in PDF, EPUB and Kindle. Book excerpt: The last decade has witnessed a rapid surge of interest in new sensing and monitoring devices for wellbeing and healthcare. One key development in this area is wireless, wearable and implantable in vivo monitoring and intervention. A myriad of platforms are now available from both academic institutions and commercial organisations. They permit the management of patients with both acute and chronic symptoms, including diabetes, cardiovascular diseases, treatment of epilepsy and other debilitating neurological disorders. Despite extensive developments in sensing technologies, there are significant research issues related to system integration, sensor miniaturisation, low-power sensor interface, wireless telemetry and signal processing. In the 2nd edition of this popular and authoritative reference on Body Sensor Networks (BSN), major topics related to the latest technological developments and potential clinical applications are discussed, with contents covering. Biosensor Design, Interfacing and Nanotechnology Wireless Communication and Network Topologies Communication Protocols and Standards Energy Harvesting and Power Delivery Ultra-low Power Bio-inspired Processing Multi-sensor Fusion and Context Aware Sensing Autonomic Sensing Wearable, Ingestible Sensor Integration and Exemplar Applications System Integration and Wireless Sensor Microsystems The book also provides a comprehensive review of the current wireless sensor development platforms and a step-by-step guide to developing your own BSN applications through the use of the BSN development kit.

Vision-Based Human Activity Recognition

Author : Zhongxu Hu
Publisher : Springer Nature
ISBN 13 : 981192290X
Total Pages : 130 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Vision-Based Human Activity Recognition by : Zhongxu Hu

Download or read book Vision-Based Human Activity Recognition written by Zhongxu Hu and published by Springer Nature. This book was released on 2022-04-22 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a systematic, comprehensive, and timely review on V-HAR, and it covers the related tasks, cutting-edge technologies, and applications of V-HAR, especially the deep learning-based approaches. The field of Human Activity Recognition (HAR) has become one of the trendiest research topics due to the availability of various sensors, live streaming of data and the advancement in computer vision, machine learning, etc. HAR can be extensively used in many scenarios, for example, medical diagnosis, video surveillance, public governance, also in human–machine interaction applications. In HAR, various human activities such as walking, running, sitting, sleeping, standing, showering, cooking, driving, abnormal activities, etc., are recognized. The data can be collected from wearable sensors or accelerometer or through video frames or images; among all the sensors, vision-based sensors are now the most widely used sensors due to their low-cost, high-quality, and unintrusive characteristics. Therefore, vision-based human activity recognition (V-HAR) is the most important and commonly used category among all HAR technologies. The addressed topics include hand gestures, head pose, body activity, eye gaze, attention modeling, etc. The latest advancements and the commonly used benchmark are given. Furthermore, this book also discusses the future directions and recommendations for the new researchers.

Generalization With Deep Learning: For Improvement On Sensing Capability

Author : Zhenghua Chen
Publisher : World Scientific
ISBN 13 : 9811218854
Total Pages : 327 pages
Book Rating : 4.8/5 (112 download)

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Book Synopsis Generalization With Deep Learning: For Improvement On Sensing Capability by : Zhenghua Chen

Download or read book Generalization With Deep Learning: For Improvement On Sensing Capability written by Zhenghua Chen and published by World Scientific. This book was released on 2021-04-07 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep Learning has achieved great success in many challenging research areas, such as image recognition and natural language processing. The key merit of deep learning is to automatically learn good feature representation from massive data conceptually. In this book, we will show that the deep learning technology can be a very good candidate for improving sensing capabilities.In this edited volume, we aim to narrow the gap between humans and machines by showcasing various deep learning applications in the area of sensing. The book will cover the fundamentals of deep learning techniques and their applications in real-world problems including activity sensing, remote sensing and medical sensing. It will demonstrate how different deep learning techniques help to improve the sensing capabilities and enable scientists and practitioners to make insightful observations and generate invaluable discoveries from different types of data.

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.

PRICAI 2021: Trends in Artificial Intelligence

Author : Duc Nghia Pham
Publisher : Springer Nature
ISBN 13 : 3030893634
Total Pages : 628 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis PRICAI 2021: Trends in Artificial Intelligence by : Duc Nghia Pham

Download or read book PRICAI 2021: Trends in Artificial Intelligence written by Duc Nghia Pham and published by Springer Nature. This book was released on 2021-11-01 with total page 628 pages. Available in PDF, EPUB and Kindle. Book excerpt: This three-volume set, LNAI 13031, LNAI 13032, and LNAI 13033 constitutes the thoroughly refereed proceedings of the 18th Pacific Rim Conference on Artificial Intelligence, PRICAI 2021, held in Hanoi, Vietnam, in November 2021.The 93 full papers and 28 short papers presented in these volumes were carefully reviewed and selected from 382 submissions. PRICAI covers a wide range of topics in the areas of social and economic importance for countries in the Pacific Rim: artificial intelligence, machine learning, natural language processing, knowledge representation and reasoning, planning and scheduling, computer vision, distributed artificial intelligence, search methodologies, etc. Part II includes two thematic blocks: Natural Language Processing, followed by Neural Networks and Deep Learning.

Communication and Intelligent Systems

Author : Harish Sharma
Publisher : Springer Nature
ISBN 13 : 9811610894
Total Pages : 1040 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Communication and Intelligent Systems by : Harish Sharma

Download or read book Communication and Intelligent Systems written by Harish Sharma and published by Springer Nature. This book was released on 2021-06-28 with total page 1040 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected research papers presented at the International Conference on Communication and Intelligent Systems (ICCIS 2020), organized jointly by Birla Institute of Applied Sciences, Uttarakhand, and Soft Computing Research Society during 26–27 December 2020. This book presents a collection of state-of-the-art research work involving cutting-edge technologies for communication and intelligent systems. Over the past few years, advances in artificial intelligence and machine learning have sparked new research efforts around the globe, which explore novel ways of developing intelligent systems and smart communication technologies. The book presents single- and multi-disciplinary research on these themes in order to make the latest results available in a single, readily accessible source.

Human Activity Recognition Challenge

Author : Md Atiqur Rahman Ahad
Publisher : Springer Nature
ISBN 13 : 9811582696
Total Pages : 126 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Human Activity Recognition Challenge by : Md Atiqur Rahman Ahad

Download or read book Human Activity Recognition Challenge written by Md Atiqur Rahman Ahad and published by Springer Nature. This book was released on 2020-11-20 with total page 126 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book introduces some challenging methods and solutions to solve the human activity recognition challenge. This book highlights the challenge that will lead the researchers in academia and industry to move further related to human activity recognition and behavior analysis, concentrating on cooking challenge. Current activity recognition systems focus on recognizing either the complex label (macro-activity) or the small steps (micro-activities) but their combined recognition is critical for analysis like the challenge proposed in this book. It has 10 chapters from 13 institutes and 8 countries (Japan, USA, Switzerland, France, Slovenia, China, Bangladesh, and Columbia).

Data Science and Intelligent Applications

Author : Ketan Kotecha
Publisher : Springer Nature
ISBN 13 : 9811544743
Total Pages : 556 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Data Science and Intelligent Applications by : Ketan Kotecha

Download or read book Data Science and Intelligent Applications written by Ketan Kotecha and published by Springer Nature. This book was released on 2020-06-17 with total page 556 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes selected papers from the International Conference on Data Science and Intelligent Applications (ICDSIA 2020), hosted by Gandhinagar Institute of Technology (GIT), Gujarat, India, on January 24–25, 2020. The proceedings present original and high-quality contributions on theory and practice concerning emerging technologies in the areas of data science and intelligent applications. The conference provides a forum for researchers from academia and industry to present and share their ideas, views and results, while also helping them approach the challenges of technological advancements from different viewpoints. The contributions cover a broad range of topics, including: collective intelligence, intelligent systems, IoT, fuzzy systems, Bayesian networks, ant colony optimization, data privacy and security, data mining, data warehousing, big data analytics, cloud computing, natural language processing, swarm intelligence, speech processing, machine learning and deep learning, and intelligent applications and systems. Helping strengthen the links between academia and industry, the book offers a valuable resource for instructors, students, industry practitioners, engineers, managers, researchers, and scientists alike.

Human Activity Recognition Using Wearable Sensors

Author : Jamie O'Halloran
Publisher : Eliva Press
ISBN 13 : 9789975307178
Total Pages : 174 pages
Book Rating : 4.3/5 (71 download)

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Book Synopsis Human Activity Recognition Using Wearable Sensors by : Jamie O'Halloran

Download or read book Human Activity Recognition Using Wearable Sensors written by Jamie O'Halloran and published by Eliva Press. This book was released on 2020-04-04 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technological advancements in healthcare can contribute unquestionably in reducing healthcare strains by ensuring clinicians, doctors and other medical staff operate and conduct their daily activities more efficiently in the hospital vicinity. Since the turn of the 21st century, Human Activity Recognition (HAR) has undergone significant research in the healthcare domain. HAR utilised with powerful technologies can benefit remote patient monitoring, the elderly, patients suffering from chronic illness and ambient assisted living. Human activity recognition has shown to be effective in benefiting clinicians in the treatment and remote monitoring of patients. This field is not only vital for diagnosis and treatment, but also an assessment of how likely a medical patient will fall ill or die from certain diseases or health problems. To show the great importance of activity recognition in the health sector, analytically driving an improvement in accuracy in classifying patients' activities improves the relationship of patients and clinicians as well as reducing the possibility of a fatality. With Artificial Intelligence at the forefront of its revolutionary capabilities, a bright future is in store if we can implement it beneficially into our healthcare service. This book reveals how.

Computational Intelligence for Human Action Recognition

Author : Sourav De
Publisher : CRC Press
ISBN 13 : 0429591934
Total Pages : 147 pages
Book Rating : 4.4/5 (295 download)

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Book Synopsis Computational Intelligence for Human Action Recognition by : Sourav De

Download or read book Computational Intelligence for Human Action Recognition written by Sourav De and published by CRC Press. This book was released on 2020-09-27 with total page 147 pages. Available in PDF, EPUB and Kindle. Book excerpt: Human Action Recognition is a challenging area presently. The vigor of research effort directed towards this domain is self indicative of this. With the ever-increasing involvement of Computational Intelligence in our day to day applications, the necessity of human activity recognition has been able to make its presence felt to the concerned research community. The primary drive of such an effort is to equip the computing system capable of recognizing and interpreting human activities from posture, pose, gesture, facial expression etc. The intent of human activity recognition is a formidable component of cognitive science in which researchers are actively engaged of late. Features: A systematic overview of the state-of-the-art in computational intelligence techniques for human action recognition. Emphasized on different intelligent techniques to recognize different human actions. Discussed about the automation techniques to handle human action recognition. Recent research results and some pointers to future advancements in this arena. In the present endeavour the editors intend to come out with a compilation that reflects the concerns of relevant research community. The readers would be able to come across some of the latest findings of active researchers of the concerned field. It is anticipated that this treatise shall be useful to the readership encompassing students at undergraduate and postgraduate level, researchers active as well as aspiring, not to speak of the senior researchers.

2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT)

Author : IEEE Staff
Publisher :
ISBN 13 : 9781538659076
Total Pages : pages
Book Rating : 4.6/5 (59 download)

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Book Synopsis 2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT) by : IEEE Staff

Download or read book 2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT) written by IEEE Staff and published by . This book was released on 2019-07-06 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT) aims to provide a forum that brings together International researchers from academia and practitioners in the industry to meet and exchange ideas and recent research work on all aspects of Information and Communication Technologies including Computing, communication, IOT, LiDAR, Image Analysis, wireless communication and other new technologies

Smartphone-Based Human Activity Recognition

Author : Jorge Luis Reyes Ortiz
Publisher : Springer
ISBN 13 : 3319142747
Total Pages : 133 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Smartphone-Based Human Activity Recognition by : Jorge Luis Reyes Ortiz

Download or read book Smartphone-Based Human Activity Recognition written by Jorge Luis Reyes Ortiz and published by Springer. This book was released on 2015-01-14 with total page 133 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book reports on the author’s original work to address the use of today’s state-of-the-art smartphones for human physical activity recognition. By exploiting the sensing, computing and communication capabilities currently available in these devices, the author developed a novel smartphone-based activity-recognition system, which takes into consideration all aspects of online human activity recognition, from experimental data collection, to machine learning algorithms and hardware implementation. The book also discusses and describes solutions to some of the challenges that arose during the development of this approach, such as real-time operation, high accuracy, low battery consumption and unobtrusiveness. It clearly shows that it is possible to perform real-time recognition of activities with high accuracy using current smartphone technologies. As well as a detailed description of the methods, this book also provides readers with a comprehensive review of the fundamental concepts in human activity recognition. It also gives an accurate analysis of the most influential works in the field and discusses them in detail. This thesis was supervised by both the Universitat Politècnica de Catalunya (primary institution) and University of Genoa (secondary institution) as part of the Erasmus Mundus Joint Doctorate in Interactive and Cognitive Environments.