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Graph."],"published-print":{"date-parts":[[2011,5]]},"abstract":"<jats:p>The development of methods and tools for the generation of visually appealing motion sequences using prerecorded motion capture data has become an important research area in computer animation. In particular, data-driven approaches have been used for reconstructing high-dimensional motion sequences from low-dimensional control signals. In this article, we contribute to this strand of research by introducing a novel framework for generating full-body animations controlled by only four 3D accelerometers that are attached to the extremities of a human actor. Our approach relies on a knowledge base that consists of a large number of motion clips obtained from marker-based motion capturing. Based on the sparse accelerometer input a cross-domain retrieval procedure is applied to build up a lazy neighborhood graph in an online fashion. This graph structure points to suitable motion fragments in the knowledge base, which are then used in the reconstruction step. Supported by a kd-tree index structure, our procedure scales to even large datasets consisting of millions of frames. Our combined approach allows for reconstructing visually plausible continuous motion streams, even in the presence of moderate tempo variations which may not be directly reflected by the given knowledge base.<\/jats:p>","DOI":"10.1145\/1966394.1966397","type":"journal-article","created":{"date-parts":[[2011,5,24]],"date-time":"2011-05-24T13:04:30Z","timestamp":1306242270000},"page":"1-12","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":160,"title":["Motion reconstruction using sparse accelerometer data"],"prefix":"10.1145","volume":"30","author":[{"given":"Jochen","family":"Tautges","sequence":"first","affiliation":[{"name":"Universit\u00e4t Bonn, Germany"}]},{"given":"Arno","family":"Zinke","sequence":"additional","affiliation":[{"name":"GfaR mbH, Bonn, Germany"}]},{"given":"Bj\u00f6rn","family":"Kr\u00fcger","sequence":"additional","affiliation":[{"name":"Universit\u00e4t Bonn, Germany"}]},{"given":"Jan","family":"Baumann","sequence":"additional","affiliation":[{"name":"Universit\u00e4t Bonn, Germany"}]},{"given":"Andreas","family":"Weber","sequence":"additional","affiliation":[{"name":"Universit\u00e4t Bonn, Germany"}]},{"given":"Thomas","family":"Helten","sequence":"additional","affiliation":[{"name":"Universit\u00e4t des Saarlandes and MPI Informatik"}]},{"given":"Meinard","family":"M\u00fcller","sequence":"additional","affiliation":[{"name":"Universit\u00e4t des Saarlandes and MPI Informatik, Saarbr\u00fccken, Germany"}]},{"given":"Hans-Peter","family":"Seidel","sequence":"additional","affiliation":[{"name":"Universit\u00e4t des Saarlandes and MPI Informatik, Saarbr\u00fccken, Germany"}]},{"given":"Bernd","family":"Eberhardt","sequence":"additional","affiliation":[{"name":"HdM Stuttgart, Germany"}]}],"member":"320","published-online":{"date-parts":[[2011,5,19]]},"reference":[{"key":"e_1_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/1327452.1327494"},{"key":"e_1_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/882262.882284"},{"key":"e_1_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1162\/pres.1993.2.1.82"},{"key":"e_1_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/1073204.1073248"},{"key":"e_1_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/1276377.1276384"},{"key":"e_1_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/882262.882285"},{"key":"e_1_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/1360612.1360690"},{"key":"e_1_2_2_8_1","volume-title":"Proceedings of the ACM SIGGRAPH\/Eurographics Symposium on Computer Animation (SCA).","author":"Kelly P.","year":"2010"},{"key":"e_1_2_2_9_1","volume-title":"Proceedings of the 30th International Conference on Very Large Data Bases (VLDB'04)","author":"Keogh E."},{"key":"e_1_2_2_10_1","volume-title":"Proceedings of the Eurographics\/SIGGRAPH Symposium on Computer Animation. 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