Human Activity Sensing
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Human Activity Sensing
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Author : Nobuo Kawaguchi
language : en
Publisher: Springer Nature
Release Date : 2019-09-09
Human Activity Sensing written by Nobuo Kawaguchi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-09 with Computers categories.
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
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Author : Miguel A. Labrador
language : en
Publisher: CRC Press
Release Date : 2013-12-05
Human Activity Recognition written by Miguel A. Labrador and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-05 with Computers categories.
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 Sensors and Smartphones focuses on the automatic identification of human activities from pervasive wearable sensors—a crucial component for health monitoring and also applicable to other areas, such as entertainment and tactical operations. Developed from the authors’ nearly four years of rigorous research in the field, the book covers the theory, fundamentals, and applications of human activity recognition (HAR). The authors examine how machine learning and pattern recognition tools help determine a user’s activity during a certain period of time. They propose two systems for performing HAR: Centinela, an offline server-oriented HAR system, and Vigilante, a completely mobile real-time activity recognition system. The book also provides a practical guide to the development of activity recognition applications in the Android framework.
Iot Sensor Based Activity Recognition
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Author : Md Atiqur Rahman Ahad
language : en
Publisher: Springer Nature
Release Date : 2020-07-30
Iot Sensor Based Activity Recognition written by Md Atiqur Rahman Ahad and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-30 with Computers categories.
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.
Advances In Human Activity Detection And Recognition Hadr Systems
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Author : Santosh Kumar Tripathy
language : en
Publisher: Springer Nature
Release Date :
Advances In Human Activity Detection And Recognition Hadr Systems written by Santosh Kumar Tripathy and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Contactless Human Activity Analysis
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Author : Md Atiqur Rahman Ahad
language : en
Publisher: Springer Nature
Release Date : 2021-03-23
Contactless Human Activity Analysis written by Md Atiqur Rahman Ahad and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-23 with Technology & Engineering categories.
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)
Smartphone Based Human Activity Recognition
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Author : Jorge Luis Reyes Ortiz
language : en
Publisher: Springer
Release Date : 2015-01-14
Smartphone Based Human Activity Recognition written by Jorge Luis Reyes Ortiz and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-01-14 with Technology & Engineering categories.
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.
Human Activity Recognition Using Wearable Sensors
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Author : Jamie O'Halloran
language : en
Publisher: Eliva Press
Release Date : 2020-04-04
Human Activity Recognition Using Wearable Sensors written by Jamie O'Halloran and has been published by Eliva Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-04 with categories.
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.
Human Activity Recognition Challenge
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Author : Md Atiqur Rahman Ahad
language : en
Publisher: Springer Nature
Release Date : 2020-11-20
Human Activity Recognition Challenge written by Md Atiqur Rahman Ahad and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-20 with Technology & Engineering categories.
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).
Dsmt Based Fusion Strategy For Human Activity Recognition In Body Sensor Networks
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Author : Yilin Dong
language : en
Publisher: Infinite Study
Release Date :
Dsmt Based Fusion Strategy For Human Activity Recognition In Body Sensor Networks written by Yilin Dong and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with Education categories.
Multi-sensor fusion strategies have been widely applied in Human Activity Recognition (HAR) in Body Sensor Networks (BSNs). However, the sensory data collected by BSNs systems are often uncertain or even incomplete. Thus, designing a robust and intelligent sensor fusion strategy is necessary for highquality activity recognition. In this paper, Dezert-Smarandache Theory (DSmT) is used to develop a novel sensor fusion strategy for HAR in BSNs, which can effectively improve the accuracy of recognition. Specifically, in the training stage, the Kernel Density Estimation (KDE) based models are first built and then precisely selected for each specific activity according to the proposed discriminative functions.
Sensor Based Human Activity Recognition For Assistive Health Technologies
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Author : Muhammad Adeel Nisar
language : en
Publisher: Logos Verlag Berlin GmbH
Release Date : 2023-02-20
Sensor Based Human Activity Recognition For Assistive Health Technologies written by Muhammad Adeel Nisar and has been published by Logos Verlag Berlin GmbH this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-20 with Computers categories.
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.