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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.
"Data Analysis of Asymmetric Structures" provides a comprehensive presentation of a variety of models and theories for the analysis of asymmetry and its applications and provides a wealth of new approaches in every section. It meets both the practical and theoretical needs of research professionals across a wide range of disciplines andA considers data analysis in fields such as psychology, sociology, social science, ecology, and marketing. In seven comprehensive chapters this guide details theories, methods, and models for the analysis of asymmetric structures in a variety of disciplines and presents future opportunities and challenges affecting research developments and business applications.
This book aims to make a theoretical, empirical and prescriptive contribution to the contemporary study of policy transfer. In the first regard, it observes that despite bold claims to the contrary (see Dolowitz and Marsh, 1996; and Evans, ed., 2010), most studies of policy transfer are characterised by their mono-cultural understanding of the process of policy-oriented learning reflected in an obsession with the destination of transfer rather than its original policy setting or settings. This betrays an absence of strong comparative investigation of the process of learning. Moreover, existing approaches to the study of policy transfer networks (the process of policy learning) are limited by their narrow epistemological perspectives as in the main they tend to lend undue focus on actors, ideas/interests or structure. Following the work of Marsh and Smith on policy networks (2000), this book contends that these elements cannot be separately analyzed. It therefore advances an interactive model of policy transfer networks that investigates the process of learning through three interactive dimensions: between structure and agents, network and context, and network and outcome. The book's second main contribution - the presentation of original case study explorations of the role of policy transfer in facilitating the rise of the Quasi-Competition State. The book contends that policy transfer has become a key policy instrument in the process of transition from a command to a market socialist economy, and latterly to what may be termed a Quasi-Competition State. Indeed, in order to meet the perceived imperatives of state transformation, the 'Reform and Open Door' policy has been featured by a broad range of processes of policy learning. It is, however, beyond the scope of this book to present a comprehensive description and explanation of this complex and multi-faceted reform process, rather the aim of this account is to provide an examination of certain processes of policy transfer which are broadly indicative of the dynamics of change underpinning the incremental process of reform. The third and final contribution of this book lies in its identification of the ingredients of rational policy transfer which can hopefully help guide future Chinese policy-makers to more progressive policy outcomes.
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