Human Motion Sensing and Recognition: A Fuzzy Qualitative Approach - Studies in Computational Intelligence 675 (Hardback)Honghai Liu (author), Zhaojie Ju (author), Xiaofei Ji (author), Chee Seng Chan (author), Mehdi Khoury (author)
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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.
Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Number of pages: 281
Weight: 5738 g
Dimensions: 235 x 155 x 18 mm
Edition: 1st ed. 2017
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