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082 0 4 _a629.892
_223
100 1 _aChaudhuri, Subhasis.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aKinesthetic Perception
_h[electronic resource] :
_bA Machine Learning Approach /
_cby Subhasis Chaudhuri, Amit Bhardwaj.
250 _a1st ed. 2018.
264 1 _aSingapore :
_bSpringer Singapore :
_bImprint: Springer,
_c2018.
300 _aXV, 138 p. 50 illus., 44 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Computational Intelligence,
_x1860-949X ;
_v748
500 _aAcceso multiusuario
520 _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.
541 _fUABC ;
_cTemporal ;
_d01/01/2021-12/31/2023.
650 0 _aRobotics.
650 0 _aAutomation.
650 0 _aArtificial intelligence.
650 0 _aControl engineering.
650 1 4 _aRobotics and Automation.
_0https://scigraph.springernature.com/ontologies/product-market-codes/T19020
650 2 4 _aArtificial Intelligence.
_0https://scigraph.springernature.com/ontologies/product-market-codes/I21000
650 2 4 _aControl and Systems Theory.
_0https://scigraph.springernature.com/ontologies/product-market-codes/T19010
700 1 _aBhardwaj, Amit.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789811066917
776 0 8 _iPrinted edition:
_z9789811066931
776 0 8 _iPrinted edition:
_z9789811349317
830 0 _aStudies in Computational Intelligence,
_x1860-949X ;
_v748
856 4 0 _zLibro electrónico
_uhttp://148.231.10.114:2048/login?url=https://doi.org/10.1007/978-981-10-6692-4
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cLIBRO_ELEC
999 _c244058
_d244057