Motion Abstraction and Mapping with Spatial Constraints
A new technique is introduced to abstract and edit motion capture data with spatial constraints. Spatial proximities of end-effectors with tagged objects during zero-crossings in acceleration space are used to isolate significant events and abstract constraints from an agent’s action. The abstracted...
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creator | Bindiganavale, Rama Badler, Norman I. |
description | A new technique is introduced to abstract and edit motion capture data with spatial constraints. Spatial proximities of end-effectors with tagged objects during zero-crossings in acceleration space are used to isolate significant events and abstract constraints from an agent’s action. The abstracted data is edited and applied to another agent of a different anthropometric size and a similar action is executed while maintaining the constraints. This technique is specifically useful for actions involving interactions of a human agent with itself and other objects. |
doi_str_mv | 10.1007/3-540-49384-0_6 |
format | Book Chapter |
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Spatial proximities of end-effectors with tagged objects during zero-crossings in acceleration space are used to isolate significant events and abstract constraints from an agent’s action. The abstracted data is edited and applied to another agent of a different anthropometric size and a similar action is executed while maintaining the constraints. This technique is specifically useful for actions involving interactions of a human agent with itself and other objects.</description><identifier>ISSN: 0302-9743</identifier><identifier>ISBN: 3540653538</identifier><identifier>ISBN: 9783540653530</identifier><identifier>EISSN: 1611-3349</identifier><identifier>EISBN: 3540493840</identifier><identifier>EISBN: 9783540493846</identifier><identifier>DOI: 10.1007/3-540-49384-0_6</identifier><identifier>OCLC: 958520098</identifier><identifier>OCLC: 851768270</identifier><identifier>LCCallNum: QA75.5-76.95</identifier><language>eng</language><publisher>Germany: Springer Berlin / Heidelberg</publisher><subject>Applied sciences ; Artificial intelligence ; Computer science; control theory; systems ; Exact sciences and technology ; Inverse Kinematic ; Joint Angle ; Motion Capture ; Pattern recognition. Digital image processing. 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Spatial proximities of end-effectors with tagged objects during zero-crossings in acceleration space are used to isolate significant events and abstract constraints from an agent’s action. The abstracted data is edited and applied to another agent of a different anthropometric size and a similar action is executed while maintaining the constraints. This technique is specifically useful for actions involving interactions of a human agent with itself and other objects.</description><subject>Applied sciences</subject><subject>Artificial intelligence</subject><subject>Computer science; control theory; systems</subject><subject>Exact sciences and technology</subject><subject>Inverse Kinematic</subject><subject>Joint Angle</subject><subject>Motion Capture</subject><subject>Pattern recognition. Digital image processing. Computational geometry</subject><subject>Primary Agent</subject><subject>Spatial Constraint</subject><issn>0302-9743</issn><issn>1611-3349</issn><isbn>3540653538</isbn><isbn>9783540653530</isbn><isbn>3540493840</isbn><isbn>9783540493846</isbn><fulltext>true</fulltext><rsrctype>book_chapter</rsrctype><creationdate>1998</creationdate><recordtype>book_chapter</recordtype><recordid>eNqNUMlOwzAQNasohTPXHLgaZjx2bB9RxSa14kDvluu4JVCSEAch_h53-QDmMtt7TzOPsSuEGwTQt8SVBC4tGcnBlQfsnPJg28MhG2GJyImkPdotSkWKzDEbAYHgVks6ZSOrjBIA1pyxy5TeIQcJaaEcMT1rh7ptirtFGnoftrVvqmLmu65uVsVPPbwVr50far8uJm2zQdXNkC7YydKvU7zc5zGbP9zPJ098-vL4PLmb8pCvGXg0RlRChEotrSVdQsinBxmRlBJKxUgQjFShRI_BGGW8VFVYIi5KlKKiMbveyXY-Bb9e9r4JdXJdX3_6_teh0gIkZRjfwVLeNKvYu0XbfiSH4DYmOnLZGrc1zWUTM17sZfv26zumwcUNIcQmv7cOb74bYp9cKY3SBpxGZ-C_JAKNCqVD4bSlP3wHf0E</recordid><startdate>1998</startdate><enddate>1998</enddate><creator>Bindiganavale, Rama</creator><creator>Badler, Norman I.</creator><general>Springer Berlin / Heidelberg</general><general>Springer Berlin Heidelberg</general><general>Springer-Verlag</general><scope>FFUUA</scope><scope>IQODW</scope></search><sort><creationdate>1998</creationdate><title>Motion Abstraction and Mapping with Spatial Constraints</title><author>Bindiganavale, Rama ; Badler, Norman I.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c354t-e882d22cd5f993760c049c4e1355255ee30c845c61a1c8858a45dcf11b6142d3</frbrgroupid><rsrctype>book_chapters</rsrctype><prefilter>book_chapters</prefilter><language>eng</language><creationdate>1998</creationdate><topic>Applied sciences</topic><topic>Artificial intelligence</topic><topic>Computer science; control theory; systems</topic><topic>Exact sciences and technology</topic><topic>Inverse Kinematic</topic><topic>Joint Angle</topic><topic>Motion Capture</topic><topic>Pattern recognition. Digital image processing. Computational geometry</topic><topic>Primary Agent</topic><topic>Spatial Constraint</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bindiganavale, Rama</creatorcontrib><creatorcontrib>Badler, Norman I.</creatorcontrib><collection>ProQuest Ebook Central - Book Chapters - Demo use only</collection><collection>Pascal-Francis</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bindiganavale, Rama</au><au>Badler, Norman I.</au><au>van Leeuwen, J</au><au>Thalmann, Daniel</au><au>Magnenat-Thalmann, Nadia</au><format>book</format><genre>bookitem</genre><ristype>CHAP</ristype><atitle>Motion Abstraction and Mapping with Spatial Constraints</atitle><btitle>Lecture notes in computer science</btitle><seriestitle>Lecture Notes in Computer Science</seriestitle><date>1998</date><risdate>1998</risdate><volume>1537</volume><spage>70</spage><epage>82</epage><pages>70-82</pages><issn>0302-9743</issn><eissn>1611-3349</eissn><isbn>3540653538</isbn><isbn>9783540653530</isbn><eisbn>3540493840</eisbn><eisbn>9783540493846</eisbn><abstract>A new technique is introduced to abstract and edit motion capture data with spatial constraints. Spatial proximities of end-effectors with tagged objects during zero-crossings in acceleration space are used to isolate significant events and abstract constraints from an agent’s action. The abstracted data is edited and applied to another agent of a different anthropometric size and a similar action is executed while maintaining the constraints. This technique is specifically useful for actions involving interactions of a human agent with itself and other objects.</abstract><cop>Germany</cop><pub>Springer Berlin / Heidelberg</pub><doi>10.1007/3-540-49384-0_6</doi><oclcid>958520098</oclcid><oclcid>851768270</oclcid><tpages>13</tpages></addata></record> |
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ispartof | Lecture notes in computer science, 1998, Vol.1537, p.70-82 |
issn | 0302-9743 1611-3349 |
language | eng |
recordid | cdi_pascalfrancis_primary_1572043 |
source | Springer Books |
subjects | Applied sciences Artificial intelligence Computer science control theory systems Exact sciences and technology Inverse Kinematic Joint Angle Motion Capture Pattern recognition. Digital image processing. Computational geometry Primary Agent Spatial Constraint |
title | Motion Abstraction and Mapping with Spatial Constraints |
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