000			02706nam a22003255i 4500
001			102843
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007			cr nn 008mamaa
008			171026s2018 si | s |||| 0|eng d
020			_a9789811066924
024	7		_a10.1007/978-981-10-6692-4 _2doi
050		4	_aQA76.9.H85 _bC438 2018 EB
100	1		_aChaudhuri, Subhasis _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _0http://id.loc.gov/authorities/names/n98088398 _1http://viaf.org/viaf/17476329/
245	1	0	_aKinesthetic Perception _bA Machine Learning Approach _cby Subhasis Chaudhuri, Amit Bhardwaj.
264		1	_aSingapore _bSpringer International Publishing _c2018
300			_a1 recurso en línea (XV, 138 páginas 50 ilustraciones, 44 ilustraciones a color.)
347			_atext file _bPDF
490	0		_aStudies in Computational Intelligence _x1860-949X _v748
520	3		_aThis book focuses on the study of possible adaptive sampling mechanisms for haptic data compression aimed at applications like tele-operations and tele-surgery. Demonstrating that the selection of the perceptual dead zones is a non-trivial problem, it presents an exposition of various issues that researchers must consider while designing compression algorithms based on just noticeable difference (JND). The book begins by identifying perceptually adaptive sampling strategies for 1-D haptic signals, and goes on to extend the findings on multidimensional signals to study directional sensitivity, if any. The book also discusses the effect of the rate of change of kinesthetic stimuli on the JND, temporal resolution for the perceivability of kinesthetic force stimuli, dependence of kinesthetic perception on the task being performed, the sequential effect on kinesthetic perception, and, correspondingly, on the perceptual dead zone. Offering a valuable resource for researchers, professionals, and graduate students working on haptics and machine perception studies, the book can also support interdisciplinary work focused on automation in surgery.
650		7	_AInteligencia artificial
650		7	_aInteracción hombre-ordenador _2embne _9155848
700	1		_aBhardwaj, Amit _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _1http://viaf.org/viaf/43151302919348662334/
776	0	8	_iEdición impresa: _z9789811066917
776	0	8	_iEdición impresa: _z9789811066931
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-10-6692-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
490	0		_aEngineering (Springer-11647)
988			_aEBSPRINGER_2018
998			_b01/2019 _dz _ea _feng _ggw _h0
999			_c102843 _d102843 _x1