000 | 03580nam a22005895i 4500 | ||
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001 | 978-981-10-6692-4 | ||
003 | DE-He213 | ||
005 | 20210201191505.0 | ||
007 | cr nn 008mamaa | ||
008 | 171026s2018 si | s |||| 0|eng d | ||
020 |
_a9789811066924 _9978-981-10-6692-4 |
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050 | 4 | _aTJ210.2-211.495 | |
050 | 4 | _aT59.5 | |
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_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. |
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300 |
_aXV, 138 p. 50 illus., 44 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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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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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 |
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