Recent Advances In Motion Analysis

The advances in the technology and methodology for human movement capture and analysis over the last decade have been remarkable. Besides acknowledged approaches for kinematic, dynamic, and electromyographic (EMG) analysis carried out in the laboratory, more recently developed devices, such as wearables, inertial measurement units, ambient sensors, and cameras or depth sensors, have been adopted on a wide scale. Furthermore, computational intelligence (CI) methods, such as artificial neural networks, have recently emerged as promising tools for the development and application of intelligent systems in motion analysis. Thus, the synergy of classic instrumentation and novel smart devices and techniques has created unique capabilities in the continuous monitoring of motor behaviors in different fields, such as clinics, sports, and ergonomics. However, real-time sensing, signal processing, human activity recognition, and characterization and interpretation of motion metrics and behaviors from sensor data still representing a challenging problem not only in laboratories but also at home and in the community. This book addresses open research issues related to the improvement of classic approaches and the development of novel technologies and techniques in the domain of motion analysis in all the various fields of application.

The advances in the technology and methodology for human movement capture and analysis over the last decade have been remarkable. Besides acknowledged approaches for kinematic, dynamic, and electromyographic (EMG) analysis carried out in the laboratory, more recently developed devices, such as wearables, inertial measurement units, ambient sensors, and cameras or depth sensors, have been adopted on a wide scale. Furthermore, computational intelligence (CI) methods, such as artificial neural networks, have recently emerged as promising tools for the development and application of intelligent systems in motion analysis. Thus, the synergy of classic instrumentation and novel smart devices and techniques has created unique capabilities in the continuous monitoring of motor behaviors in different fields, such as clinics, sports, and ergonomics. However, real-time sensing, signal processing, human activity recognition, and characterization and interpretation of motion metrics and behaviors from sensor data still representing a challenging problem not only in laboratories but also at home and in the community. This book addresses open research issues related to the improvement of classic approaches and the development of novel technologies and techniques in the domain of motion analysis in all the various fields of application.

This book presents an understanding of biomechanics through chapters analyzing human behavior in sport from a medical perspective. It offers a comprehensive range of principles, methods, techniques, and tools to provide the reader with clear knowledge of the impact of biomechanic processes. The text considers physical, mechanical, and biomechanical aspects and is illustrated by different key application domains such as sports performance, sports science, ergonomy science, gait and human posture, and musculoskeletal disorders in medicine. The first three chapters provide useful tools for measuring, generating, simulating, and processing in biomechanics with the clinical and experimental applications in medicine. The last section describes the application of biomechanics in sport performance. Engineers, researchers, and students from biomedical engineering and health sciences, as well as industrial professionals, can profit from this compendium of knowledge on biomechanics applied to the human body.

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.

The purpose of this book was to offer an overview of recent insights into the current state of arthroplasty. The tremendous long term success of Sir Charnley's total hip arthroplasty has encouraged many researchers to treat pain, improve function and create solutions for higher quality of life. Indeed and as described in a special chapter of this book, arthroplasty is an emerging field in the joints of upper extremity and spine. However, there are inborn complications in any foreign design brought to the human body. First, in the chapter on infections we endeavor to provide a comprehensive, up-to-date analysis and description of the management of this difficult problem. Second, the immune system is faced with a strange material coming in huge amounts of micro-particles from the tribology code. Therefore, great attention to the problem of aseptic loosening has been addressed in special chapters on loosening and on materials currently available for arthroplasty.

In recent decades Multimedia processing has emerged as an important technology to generate content based on images, video, audio, graphics, and text. This book is a compilation of the latest trends and developments in the field of computational intelligence in multimedia processing. The edited book presents a large number of interesting applications to intelligent multimedia processing of various Computational Intelligence techniques including neural networks and fuzzy logic.

Gathering the proceedings of the conference MeTrApp 2019, this book covers topics such as mechanism and machinery design, parallel manipulators, robotics and mechatronics, control applications, mechanical transmissions, cam and gear mechanisms, and dynamics of machinery. MeTrApp 2019 provided researchers, scientists, industry experts, and graduate students from around the globe with a platform to share their cutting-edge work on mechanisms, transmissions, and their applications. The proceedings extend this platform to all researchers, scientists, industry experts, and students interested in these fields.

Human motion analysis or gait analysis is used throughout the country and the world in clinics for pre-surgical planning and postsurgical follow-up. Only recently have technological advances truly begun to meet medical needs by supplying more accurate analytical data from which to make educated assessments of dynamic foot and ankle pathology. A comprehensive overview of current and emerging methods is necessary for practitioners to effectively integrate the new techniques into better pre-treatment planning, surgical and rehabilitative care, and post-treatment follow-up. Originating as a one-day workshop sponsored by the Shriner’s Hospitals and the National Institutes of Health, Foot and Ankle Motion Analysis: Clinical Treatment and Technology provides a single source reference for the latest technologies and their clinical applications. With contributions from an international panel of experts from orthopaedic, rehabilitation, engineering, academic, medical-industrial, and clinical disciplines, this text focuses on the relevant scientific advances with an emphasis on applications, limitations, and problems to be solved. Divided into two parts, the text begins by presenting basic and advanced clinical applications and opportunities in foot and ankle motion analysis in both pediatric and adult cases. The second part introduces the technological advances themselves from a quantitative perspective. Modeling concepts, seminal developments, and novel approaches are described along with emerging horizons related to mechanical paradigms, imaging, kinetics, robotics and simulation, tri-planar force sensing, and more. The book also includes a chapter of references and sources of support for future research and development prospects. Clinical and research applications in motion analysis have resulted in better functional assessment, fewer, more effective surgeries, and longer-term follow-up care. Foot and Ankle Motion Analysis: Clinical Treatment and Technology provides a basis for expanding these contributions to the broader community of practitioners caring for both adult and pediatric patients.