Human Activity Recognition and Prediction

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Author :
Publisher : Springer
ISBN 13 : 3319270044
Total Pages : 179 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 179 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.

Contactless Human Activity Analysis

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

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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)

IoT Sensor-Based Activity Recognition

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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.

Human Activity Recognition

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Author :
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 Human Activity Recognition

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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.

Computer Vision and Action Recognition

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Publisher : Springer Science & Business Media
ISBN 13 : 9491216201
Total Pages : 228 pages
Book Rating : 4.4/5 (912 download)

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Book Synopsis Computer Vision and Action Recognition by : Md. Atiqur Rahman Ahad

Download or read book Computer Vision and Action Recognition written by Md. Atiqur Rahman Ahad and published by Springer Science & Business Media. This book was released on 2011-12-02 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: Human action analyses and recognition are challenging problems due to large variations in human motion and appearance, camera viewpoint and environment settings. The field of action and activity representation and recognition is relatively old, yet not well-understood by the students and research community. Some important but common motion recognition problems are even now unsolved properly by the computer vision community. However, in the last decade, a number of good approaches are proposed and evaluated subsequently by many researchers. Among those methods, some methods get significant attention from many researchers in the computer vision field due to their better robustness and performance. This book will cover gap of information and materials on comprehensive outlook – through various strategies from the scratch to the state-of-the-art on computer vision regarding action recognition approaches. This book will target the students and researchers who have knowledge on image processing at a basic level and would like to explore more on this area and do research. The step by step methodologies will encourage one to move forward for a comprehensive knowledge on computer vision for recognizing various human actions.

Computer Vision - ECCV 2008

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Publisher :
ISBN 13 : 9788354088684
Total Pages : 0 pages
Book Rating : 4.0/5 (886 download)

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Book Synopsis Computer Vision - ECCV 2008 by : David Hutchison

Download or read book Computer Vision - ECCV 2008 written by David Hutchison and published by . This book was released on 2008 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The four-volume set comprising LNCS volumes 5302/5303/5304/5305 constitutes the refereed proceedings of the 10th European Conference on Computer Vision, ECCV 2008, held in Marseille, France, in October 2008. The 243 revised papers presented were carefully reviewed and selected from a total of 871 papers submitted. The four books cover the entire range of current issues in computer vision. The papers are organized in topical sections on recognition, stereo, people and face recognition, object tracking, matching, learning and features, MRFs, segmentation, computational photography and active reconstruction.

Vision-Based Human Activity Recognition

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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.

2021 3rd International Conference on Signal Processing and Communication (ICPSC)

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Publisher :
ISBN 13 : 9781665428651
Total Pages : pages
Book Rating : 4.4/5 (286 download)

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Book Synopsis 2021 3rd International Conference on Signal Processing and Communication (ICPSC) by : IEEE Staff

Download or read book 2021 3rd International Conference on Signal Processing and Communication (ICPSC) written by IEEE Staff and published by . This book was released on 2021-05-13 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The 2021 3rd International Conference on Signal Processing and Communication aims to bring together the Scientists, Scholars, Engineers, Industrialists and Students from in and around the world to present and share their knowledge and experience on the on going research activities and hence to foster research relations between universities and industries This conference provides opportunities for the delegates to exchange new ideas, insights, applications and experiences, to establish research relations and to find global partners for collaborations and to solve future problems in Signal Processing and Communication Engineering

Computational Studies of Human Motion

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Publisher : Now Publishers Inc
ISBN 13 : 1933019301
Total Pages : 188 pages
Book Rating : 4.9/5 (33 download)

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Book Synopsis Computational Studies of Human Motion by : David Forsyth

Download or read book Computational Studies of Human Motion written by David Forsyth and published by Now Publishers Inc. This book was released on 2006 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Studies of Human Motion: Part 1, Tracking and Motion Synthesis reviews methods for kinematic tracking of the human body in video. The review confines itself to the earlier stages of motion, focusing on tracking and motion synthesis. There is an extensive discussion of open issues. The authors identify some puzzling phenomena associated with the choice of human motion representation --- joint angles vs. joint positions. The review concludes with a quick guide to resources and an extensive bibliography of over 400 references. Computational Studies of Human Motion: Part 1, Tracking and Motion Synthesis is an invaluable reference for those engaged in computational geometry, computer graphics, image processing, imaging in general, and robotic.

New Trends in Image Analysis and Processing, ICIAP 2013 Workshops

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Publisher : Springer
ISBN 13 : 3642411908
Total Pages : 584 pages
Book Rating : 4.6/5 (424 download)

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Book Synopsis New Trends in Image Analysis and Processing, ICIAP 2013 Workshops by : Alfredo Petrosino

Download or read book New Trends in Image Analysis and Processing, ICIAP 2013 Workshops written by Alfredo Petrosino and published by Springer. This book was released on 2013-09-03 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the workshops held with the 17th International Conference on Image Analysis and Processing, ICIAP 2013, held in Naples, Italy, in September 2013. The proceedings include papers from the five individual workshops focusing on topics of interest to the pattern recognition, image analysis, and computer vision communities, exploring emergent research directions or spotlight cross-disciplinary links with related fields and / or application areas.

Advancements in Instrumentation and Control in Applied System Applications

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Publisher : Engineering Science Reference
ISBN 13 : 9781799825845
Total Pages : 300 pages
Book Rating : 4.8/5 (258 download)

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

Download or read book Advancements in Instrumentation and Control in Applied System Applications written by Srijan Bhattacharya and published by Engineering Science Reference. This book was released on 2020 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book explores the advancement of instrumentation in various applications"--

Machine Learning for Vision-Based Motion Analysis

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Publisher : Springer Science & Business Media
ISBN 13 : 0857290576
Total Pages : 377 pages
Book Rating : 4.8/5 (572 download)

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Book Synopsis Machine Learning for Vision-Based Motion Analysis by : Liang Wang

Download or read book Machine Learning for Vision-Based Motion Analysis written by Liang Wang and published by Springer Science & Business Media. This book was released on 2010-11-18 with total page 377 pages. Available in PDF, EPUB and Kindle. Book excerpt: Techniques of vision-based motion analysis aim to detect, track, identify, and generally understand the behavior of objects in image sequences. With the growth of video data in a wide range of applications from visual surveillance to human-machine interfaces, the ability to automatically analyze and understand object motions from video footage is of increasing importance. Among the latest developments in this field is the application of statistical machine learning algorithms for object tracking, activity modeling, and recognition. Developed from expert contributions to the first and second International Workshop on Machine Learning for Vision-Based Motion Analysis, this important text/reference highlights the latest algorithms and systems for robust and effective vision-based motion understanding from a machine learning perspective. Highlighting the benefits of collaboration between the communities of object motion understanding and machine learning, the book discusses the most active forefronts of research, including current challenges and potential future directions. Topics and features: provides a comprehensive review of the latest developments in vision-based motion analysis, presenting numerous case studies on state-of-the-art learning algorithms; examines algorithms for clustering and segmentation, and manifold learning for dynamical models; describes the theory behind mixed-state statistical models, with a focus on mixed-state Markov models that take into account spatial and temporal interaction; discusses object tracking in surveillance image streams, discriminative multiple target tracking, and guidewire tracking in fluoroscopy; explores issues of modeling for saliency detection, human gait modeling, modeling of extremely crowded scenes, and behavior modeling from video surveillance data; investigates methods for automatic recognition of gestures in Sign Language, and human action recognition from small training sets. Researchers, professional engineers, and graduate students in computer vision, pattern recognition and machine learning, will all find this text an accessible survey of machine learning techniques for vision-based motion analysis. The book will also be of interest to all who work with specific vision applications, such as surveillance, sport event analysis, healthcare, video conferencing, and motion video indexing and retrieval.

Ambient Intelligence

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Publisher : Springer
ISBN 13 : 9783642054099
Total Pages : 288 pages
Book Rating : 4.0/5 (54 download)

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Book Synopsis Ambient Intelligence by : Manfred Tscheligi

Download or read book Ambient Intelligence written by Manfred Tscheligi and published by Springer. This book was released on 2009-12-16 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Human Activity Recognition Challenge

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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).

Sensor Data Analysis and Management

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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.

Deep Learning for Time Series Forecasting

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Author :
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.