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020 _a9783662536926
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024 7 _a10.1007/978-3-662-53692-6
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072 7 _aTEC009000
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100 1 _aLiu, Honghai.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_959895
245 1 0 _aHuman Motion Sensing and Recognition
_h[electronic resource] :
_bA Fuzzy Qualitative Approach /
_cby Honghai Liu, Zhaojie Ju, Xiaofei Ji, Chee Seng Chan, Mehdi Khoury.
250 _a1st ed. 2017.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2017.
300 _aXVI, 281 p. 131 illus., 112 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
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347 _atext file
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490 1 _aStudies in Computational Intelligence,
_x1860-9503 ;
_v675
505 0 _aIntroduction -- Fuzzy Qualitative Trigonometry -- Fuzzy Qualitative Robot Kinematics -- Fuzzy Qualitative Human Motion Analysis -- Fuzzy Gaussian Mixture Models -- Fuzzy Empirical Copula for Estimating Data Dependence Structure -- A Unified Fuzzy Framework for Human Hand Motion Recognition -- Human Hand Motion Analysis with Multisensory Information -- A Novel Approach to Extract Hand Gesture Feature in Depth Images -- Recognizing Constrained 3D Human Motion: An Inference Approach -- Study of Human Action Recognition Based on Improved Spatio-temporal Features -- A View-invariant Action Recognition based on Multi-view Space Hidden Markov Models. .
520 _aThis 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.
650 0 _aComputational intelligence.
_97716
650 0 _aArtificial intelligence.
_93407
650 0 _aBiomedical engineering.
_93292
650 0 _aHuman physiology.
_93919
650 1 4 _aComputational Intelligence.
_97716
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aBiomedical Engineering and Bioengineering.
_931842
650 2 4 _aHuman Physiology.
_93919
700 1 _aJu, Zhaojie.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_959896
700 1 _aJi, Xiaofei.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_959897
700 1 _aChan, Chee Seng.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_959898
700 1 _aKhoury, Mehdi.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_959899
710 2 _aSpringerLink (Online service)
_959900
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
_z9783662571521
830 0 _aStudies in Computational Intelligence,
_x1860-9503 ;
_v675
_959901
856 4 0 _uhttps://doi.org/10.1007/978-3-662-53692-6
912 _aZDB-2-ENG
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