LEADER 01841nam 2200517 450 001 9910466299103321 010 $a1-62036-257-0 035 $a(CKB)3710000001139853 035 $a(MiAaPQ)EBC4832777 035 $a(EXLCZ)993710000001139853 100 $a20170411h20172017 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aMeasuring noncognitive variables $eimproving admissions, success, and retention for underrepresented students /$fWilliam Sedlacek 210 1$aSterling, Virginia :$cStylus Publishing, LLC,$d2017. 210 4$d©2017 215 $a1 online resource (346 pages) 311 $a1-62036-255-4 320 $aIncludes bibliographical references and index. 606 $aMinorities$xEducation (Higher)$zUnited States 606 $aWomen$xEducation (Higher)$zUnited States 606 $aMinority college students$xServices for$zUnited States 606 $aWomen college students$xServices for$zUnited States 606 $aUniversities and colleges$zUnited States$xAdmisson 606 $aCollege dropouts$xPrevention$zUnited States 606 $aAcademic achievement$zUnited States 608 $aElectronic books. 615 0$aMinorities$xEducation (Higher) 615 0$aWomen$xEducation (Higher) 615 0$aMinority college students$xServices for 615 0$aWomen college students$xServices for 615 0$aUniversities and colleges$xAdmisson. 615 0$aCollege dropouts$xPrevention 615 0$aAcademic achievement 676 $a378.19820973 700 $aSedlacek$b William E.$0878277 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910466299103321 996 $aMeasuring noncognitive variables$91960668 997 $aUNINA LEADER 01928nam 2200433z- 450 001 9910346957903321 005 20210211 010 $a1000075715 035 $a(CKB)4920000000100943 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/55395 035 $a(oapen)doab55395 035 $a(EXLCZ)994920000000100943 100 $a20202102d2017 |y 0 101 0 $ager 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aOrganisation, Repra?sentation und Analyse menschlicher Ganzko?rperbewegung fu?r die datengetriebene Bewegungsgenerierung bei humanoiden Robotern 210 $cKIT Scientific Publishing$d2017 215 $a1 online resource (VIII, 308 p. p.) 225 1 $aKarlsruhe Series on Humanoid Robotics 311 08$a3-7315-0729-3 330 $aThis work presents an approach to data-driven motion generation for humanoid robots, which is based on the observation and analysis of human whole-body motions. To this end, we investigate how captured human motions can be represented, classified and organized in a large-scale motion database. The statistical modeling of the transitions between characteristic whole-body poses enables the subsequent generation of multi-contact motions. 610 $aBewegungsgenerierung 610 $aGanzko?rperbewegung 610 $ahuman motion analysis 610 $ahumanoid robotics 610 $ahumanoide Robotik 610 $amenschliche Bewegungsanalyse 610 $amotion generation 610 $arobotics 610 $aRobotik 610 $awhole-body motion 700 $aMandery$b Christian$4auth$01323452 906 $aBOOK 912 $a9910346957903321 996 $aOrganisation, Repräsentation und Analyse menschlicher Ganzkörperbewegung für die datengetriebene Bewegungsgenerierung bei humanoiden Robotern$93035571 997 $aUNINA