Overview
- Reflects the state-of-the-art in human motion sensing and recognition
- Presents a comprehensive introduction to methodologies for human hand motion analysis, human–computer/robot interaction, smart surveillance, and human action recognition
- Written by leading experts in the field
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Computational Intelligence (SCI, volume 675)
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Table of contents (12 chapters)
Keywords
About this book
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.
Authors and Affiliations
Bibliographic Information
Book Title: Human Motion Sensing and Recognition
Book Subtitle: A Fuzzy Qualitative Approach
Authors: Honghai Liu, Zhaojie Ju, Xiaofei Ji, Chee Seng Chan, Mehdi Khoury
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-662-53692-6
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag GmbH Germany 2017
Hardcover ISBN: 978-3-662-53690-2Published: 18 May 2017
Softcover ISBN: 978-3-662-57152-1Published: 29 July 2018
eBook ISBN: 978-3-662-53692-6Published: 11 May 2017
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XVI, 281
Number of Illustrations: 19 b/w illustrations, 112 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Biomedical Engineering and Bioengineering, Human Physiology