000 | 04614nam a22006135i 4500 | ||
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001 | 978-3-662-53692-6 | ||
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007 | cr nn 008mamaa | ||
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_a9783662536926 _9978-3-662-53692-6 |
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_a10.1007/978-3-662-53692-6 _2doi |
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_a006.3 _223 |
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_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. |
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300 |
_aXVI, 281 p. 131 illus., 112 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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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 |
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650 | 0 |
_aArtificial intelligence. _93407 |
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650 | 0 |
_aBiomedical engineering. _93292 |
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650 | 0 |
_aHuman physiology. _93919 |
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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 |
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710 | 2 |
_aSpringerLink (Online service) _959900 |
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773 | 0 | _tSpringer Nature eBook | |
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_iPrinted edition: _z9783662536902 |
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_iPrinted edition: _z9783662536919 |
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_iPrinted edition: _z9783662571521 |
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_aStudies in Computational Intelligence, _x1860-9503 ; _v675 _959901 |
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856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-662-53692-6 |
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