Download or read book Machine Learning for Human Motion Analysis Theory and Practice written by Wang, Liang and published by IGI Global. This book was released on 2009-12-31 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book highlights the development of robust and effective vision-based motion understanding systems, addressing specific vision applications such as surveillance, sport event analysis, healthcare, video conferencing, and motion video indexing and retrieval"--Provided by publisher.
Download or read book Deep Learning for Human Motion Analysis written by Natalia Neverova (informaticienne).) and published by . This book was released on 2020 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: The research goal of this work is to develop learning methods advancing automatic analysis and interpreting of human motion from different perspectives and based on various sources of information, such as images, video, depth, mocap data, audio and inertial sensors. For this purpose, we propose a several deep neural models and associated training algorithms for supervised classification and semi-supervised feature learning, as well as modelling of temporal dependencies, and show their efficiency on a set of fundamental tasks, including detection, classification, parameter estimation and user verification. First, we present a method for human action and gesture spotting and classification based on multi-scale and multi-modal deep learning from visual signals (such as video, depth and mocap data). Key to our technique is a training strategy which exploits, first, careful initialization of individual modalities and, second, gradual fusion involving random dropping of separate channels (dubbed ModDrop) for learning cross-modality correlations while preserving uniqueness of each modality-specific representation. Moving forward, from 1 to N mapping to continuous evaluation of gesture parameters, we address the problem of hand pose estimation and present a new method for regression on depth images, based on semi-supervised learning using convolutional deep neural networks, where raw depth data is fused with an intermediate representation in the form of a segmentation of the hand into parts. In separate but related work, we explore convolutional temporal models for human authentication based on their motion patterns. In this project, the data is captured by inertial sensors (such as accelerometers and gyroscopes) built in mobile devices. We propose an optimized shift-invariant dense convolutional mechanism and incorporate the discriminatively-trained dynamic features in a probabilistic generative framework taking into account temporal characteristics. Our results demonstrate, that human kinematics convey important information about user identity and can serve as a valuable component of multi-modal authentication systems.
Download or read book Machine Learning Approaches to Human Movement Analysis written by Matteo Zago and published by Frontiers Media SA. This book was released on 2021-03-04 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Modelling Human Motion written by Nicoletta Noceti and published by Springer Nature. This book was released on 2020-07-09 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: The new frontiers of robotics research foresee future scenarios where artificial agents will leave the laboratory to progressively take part in the activities of our daily life. This will require robots to have very sophisticated perceptual and action skills in many intelligence-demanding applications, with particular reference to the ability to seamlessly interact with humans. It will be crucial for the next generation of robots to understand their human partners and at the same time to be intuitively understood by them. In this context, a deep understanding of human motion is essential for robotics applications, where the ability to detect, represent and recognize human dynamics and the capability for generating appropriate movements in response sets the scene for higher-level tasks. This book provides a comprehensive overview of this challenging research field, closing the loop between perception and action, and between human-studies and robotics. The book is organized in three main parts. The first part focuses on human motion perception, with contributions analyzing the neural substrates of human action understanding, how perception is influenced by motor control, and how it develops over time and is exploited in social contexts. The second part considers motion perception from the computational perspective, providing perspectives on cutting-edge solutions available from the Computer Vision and Machine Learning research fields, addressing higher-level perceptual tasks. Finally, the third part takes into account the implications for robotics, with chapters on how motor control is achieved in the latest generation of artificial agents and how such technologies have been exploited to favor human-robot interaction. This book considers the complete human-robot cycle, from an examination of how humans perceive motion and act in the world, to models for motion perception and control in artificial agents. In this respect, the book will provide insights into the perception and action loop in humans and machines, joining together aspects that are often addressed in independent investigations. As a consequence, this book positions itself in a field at the intersection of such different disciplines as Robotics, Neuroscience, Cognitive Science, Psychology, Computer Vision, and Machine Learning. By bridging these different research domains, the book offers a common reference point for researchers interested in human motion for different applications and from different standpoints, spanning Neuroscience, Human Motor Control, Robotics, Human-Robot Interaction, Computer Vision and Machine Learning. Chapter 'The Importance of the Affective Component of Movement in Action Understanding' of this book is available open access under a CC BY 4.0 license at link.springer.com.
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.
Download or read book Human Motion Sensing and Recognition written by Honghai Liu and published by Springer. This book was released on 2017-05-11 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces readers to the latest exciting advances in human motion sensing and recognition, from the theoretical development of fuzzy approaches to their applications. The topics covered include human motion recognition in 2D and 3D, hand motion analysis with contact sensors, and vision-based view-invariant motion recognition, especially from the perspective of Fuzzy Qualitative techniques. With the rapid development of technologies in microelectronics, computers, networks, and robotics over the last decade, increasing attention has been focused on human motion sensing and recognition in many emerging and active disciplines where human motions need to be automatically tracked, analyzed or understood, such as smart surveillance, intelligent human-computer interaction, robot motion learning, and interactive gaming. Current challenges mainly stem from the dynamic environment, data multi-modality, uncertain sensory information, and real-time issues. These techniques are shown to effectively address the above challenges by bridging the gap between symbolic cognitive functions and numerical sensing & control tasks in intelligent systems. The book not only serves as a valuable reference source for researchers and professionals in the fields of computer vision and robotics, but will also benefit practitioners and graduates/postgraduates seeking advanced information on fuzzy techniques and their applications in motion analysis.
Download or read book Social Robotics written by Shuzhi Sam Ge and published by Springer. This book was released on 2012-11-04 with total page 679 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 4th International Conference on Social Robotics, ICSR 2012, held in Chengdu, China, in October 2012. The 66 revised full papers were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on affective and cognitive sciences for socially interactive robots, situated interaction and embodiment, robots to assist the elderly and persons with disabilities, social acceptance of robots and their impact to the society, artificial empathy, HRI through non-verbal communication and control, social telepresence robots, embodiments and networks, interaction and collaboration among robots, humans and environment, human augmentation, rehabilitation, and medical robots I and II.
Download or read book Human Motion written by Bodo Rosenhahn and published by Springer Science & Business Media. This book was released on 2008 with total page 628 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first book which informs about recent progress in biomechanics, computer vision and computer graphics – all in one volume. Researchers from these areas have contributed to this book to promote the establishment of human motion research as a multi-facetted discipline and to improve the exchange of ideas and concepts between these three areas. The book combines carefully written reviews with detailed reports on recent progress in research.
Download or read book Hand and Mind written by David McNeill and published by University of Chicago Press. This book was released on 1992 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: A research subject is shown a cartoon like the 1950 Canary Row--a classic Sylvester and Tweedy Bird caper that features Sylvester climbing up a downspout, swallowing a bowling ball and slamming into a brick wall. After watching the cartoon, the subject is videotaped recounting the story from memory to a listener who has not seen the cartoon. Painstaking analysis of the videotapes revealed that although the research subjects--children as well as adults, some neurologically impaired--represented a wide variety of linguistic groupings, the gestures of people speaking English and a half dozen other languages manifest the same principles. Relying on data from more than ten years of research, McNeill shows that gestures do not simply form a part of what is said and meant but have an impact on thought itself.
Download or read book Deep Learning for Robot Perception and Cognition written by Alexandros Iosifidis and published by Academic Press. This book was released on 2022-02-04 with total page 638 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep Learning for Robot Perception and Cognition introduces a broad range of topics and methods in deep learning for robot perception and cognition together with end-to-end methodologies. The book provides the conceptual and mathematical background needed for approaching a large number of robot perception and cognition tasks from an end-to-end learning point-of-view. The book is suitable for students, university and industry researchers and practitioners in Robotic Vision, Intelligent Control, Mechatronics, Deep Learning, Robotic Perception and Cognition tasks. Presents deep learning principles and methodologies Explains the principles of applying end-to-end learning in robotics applications Presents how to design and train deep learning models Shows how to apply deep learning in robot vision tasks such as object recognition, image classification, video analysis, and more Uses robotic simulation environments for training deep learning models Applies deep learning methods for different tasks ranging from planning and navigation to biosignal analysis
Download or read book Time of Flight and Depth Imaging Sensors Algorithms and Applications written by Marcin Grzegorzek and published by Springer. This book was released on 2013-11-09 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cameras for 3D depth imaging, using either time-of-flight (ToF) or structured light sensors, have received a lot of attention recently and have been improved considerably over the last few years. The present techniques make full-range 3D data available at video frame rates, and thus pave the way for a much broader application of 3D vision systems. A series of workshops have closely followed the developments within ToF imaging over the years. Today, depth imaging workshops can be found at every major computer vision conference. The papers presented in this volume stem from a seminar on Time-of-Flight Imaging held at Schloss Dagstuhl in October 2012. They cover all aspects of ToF depth imaging, from sensors and basic foundations, to algorithms for low level processing, to important applications that exploit depth imaging. In addition, this book contains the proceedings of a workshop on Imaging New Modalities, which was held at the German Conference on Pattern Recognition in Saarbrücken, Germany, in September 2013. A state-of-the-art report on the Kinect sensor and its applications is followed by two reports on local and global ToF motion compensation and a novel depth capture system using a plenoptic multi-lens multi-focus camera sensor.
Download or read book Biomechanics of Human Motion written by Barney LeVeau and published by Taylor & Francis. This book was released on 2024-06-01 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biomechanics of Human Motion: Basics and Beyond for the Health Professions presents a straightforward approach to the basic principles, theories and applications of biomechanics and provides numerous techniques and examples for approaching biomechanical situations enhanced by healthcare professionals. Building on his previous work, Dr. Barney LeVeau uses clearly defined, concise terms and real-life applications rather than advanced mathematics to make teaching and learning biomechanics easier. Based upon the concept of force, the text illustrates how force is applied to the human body and how the body applies force to various objects. The emphasis is upon the pertinent factors that guide the reader to an understanding of biomechanics at a beginning level. Chapter Topics Include: • Strength of material such as loading and stress-strain relationships • Composition and Resolution of Forces such as graphic method and mathematical method • Equilibrium such as static, first condition and second condition • Dynamics such as kinematics and kinetics • Application such as stability and balance, motion analysis, and gait What’s Inside: • Simple explanations of biological & mechanical concepts • Contemporary articles at the end of each chapter providing readers with information beyond the basics • Over 240 images illustrate biomechanical situations and computations • User-friendly, uncomplicated mathematical formulas and examples Biomechanics of Human Motion: Basics and Beyond for the Health Professions provides students and clinicians of all allied health professions with a basic background and solid foundation on which to build a solid understanding of force and biomechanics.
Download or read book Neurorobotics explores machine learning written by Fei Chen and published by Frontiers Media SA. This book was released on 2023-01-20 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Strategic Innovative Marketing and Tourism written by Androniki Kavoura and published by Springer Nature. This book was released on 2020-03-09 with total page 1074 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers a very broad range of topics in marketing, communication, and tourism, focusing especially on new perspectives and technologies that promise to influence the future direction of marketing research and practice in a digital and innovational era. Among the areas covered are product and brand management, strategic marketing, B2B marketing and sales management, international marketing, business communication and advertising, digital and social marketing, tourism and hospitality marketing and management, destination branding and cultural management, and event marketing. The book comprises the proceedings of the International Conference on Strategic Innovative Marketing and Tourism (ICSIMAT) 2019, where researchers, academics, and government and industry practitioners from around the world came together to discuss best practices, the latest research, new paradigms, and advances in theory. It will be of interest to a wide audience, including members of the academic community, MSc and PhD students, and marketing and tourism professionals.
Download or read book Kinematic Analysis of Human Movement written by Laurence Chèze and published by John Wiley & Sons. This book was released on 2014-12-03 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: After a quick survey of the famous pioneers of human movement analysis and the actual needs in different domains, this book presents the main types of systems available on the market (with the pros and cons), and then details the most widely used: the optoelectronic systems using passive markers. The theoretical background for joint kinematics calculation is explained, specifying the international standardization for parameters reports. One chapter is dedicated to measurement errors and their management, followed by several applications, mostly in the clinical field.
Download or read book Motion Based Recognition written by Mubarak Shah and published by Springer Science & Business Media. This book was released on 1997-07-31 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: Motion-based recognition deals with the recognition of an object and/or its motion, based on motion in a series of images. In this approach, a sequence containing a large number of frames is used to extract motion information. The advantage is that a longer sequence leads to recognition of higher level motions, like walking or running, which consist of a complex and coordinated series of events. Unlike much previous research in motion, this approach does not require explicit reconstruction of shape from the images prior to recognition. This book provides the state-of-the-art in this rapidly developing discipline. It consists of a collection of invited chapters by leading researchers in the world covering various aspects of motion-based recognition including lipreading, gesture recognition, facial expression recognition, gait analysis, cyclic motion detection, and activity recognition. Audience: This volume will be of interest to researchers and post- graduate students whose work involves computer vision, robotics and image processing.
Download or read book 6th Kuala Lumpur International Conference on Biomedical Engineering 2021 written by Juliana Usman and published by Springer Nature. This book was released on 2022-04-22 with total page 600 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents cutting-edge research and developments in the field of biomedical engineering, with a special emphasis on achievements by Asian research groups. It covers machine learning and computational modeling methods applied to biomedical and clinical research, advanced methods for biosignal processing and bioimaging, MEMS applications, and advances in biosensors. Further topics include biomechanics, prosthetics, orthotics and tissue engineering. Other related (bio-) engineering applications, such as in ecosystem development, water quality assessment, and material research, are also covered. Gathering the proceedings of the 6th Kuala Lumpur International Conference on Biomedical Engineering, held online on July 28-29, 2021 from Kuala Lumpur, Malaysia, the book is intended to provide researchers and professionals with extensive and timely information on the state-of-the-art research and applications in biomedical engineering, and to promote interdisciplinary and international collaborations.
