Exploring Dance Movement Data Using Sequence Alignment Methods.
Despite the abundance of research on knowledge discovery from moving object databases, only a limited number of studies have examined the interaction between moving point objects in space over time. This paper describes a novel approach for measuring similarity in the interaction between moving obje...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2015-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC4504678?pdf=render |
| _version_ | 1819155268933517312 |
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| author | Seyed Hossein Chavoshi Bernard De Baets Tijs Neutens Guy De Tré Nico Van de Weghe |
| author_facet | Seyed Hossein Chavoshi Bernard De Baets Tijs Neutens Guy De Tré Nico Van de Weghe |
| author_sort | Seyed Hossein Chavoshi |
| collection | DOAJ |
| description | Despite the abundance of research on knowledge discovery from moving object databases, only a limited number of studies have examined the interaction between moving point objects in space over time. This paper describes a novel approach for measuring similarity in the interaction between moving objects. The proposed approach consists of three steps. First, we transform movement data into sequences of successive qualitative relations based on the Qualitative Trajectory Calculus (QTC). Second, sequence alignment methods are applied to measure the similarity between movement sequences. Finally, movement sequences are grouped based on similarity by means of an agglomerative hierarchical clustering method. The applicability of this approach is tested using movement data from samba and tango dancers. |
| first_indexed | 2024-12-22T15:34:17Z |
| format | Article |
| id | doaj.art-e112b10d3ae24bc49afe1f50bfb5ca1a |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-22T15:34:17Z |
| publishDate | 2015-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-e112b10d3ae24bc49afe1f50bfb5ca1a2022-12-21T18:21:18ZengPublic Library of Science (PLoS)PLoS ONE1932-62032015-01-01107e013245210.1371/journal.pone.0132452Exploring Dance Movement Data Using Sequence Alignment Methods.Seyed Hossein ChavoshiBernard De BaetsTijs NeutensGuy De TréNico Van de WegheDespite the abundance of research on knowledge discovery from moving object databases, only a limited number of studies have examined the interaction between moving point objects in space over time. This paper describes a novel approach for measuring similarity in the interaction between moving objects. The proposed approach consists of three steps. First, we transform movement data into sequences of successive qualitative relations based on the Qualitative Trajectory Calculus (QTC). Second, sequence alignment methods are applied to measure the similarity between movement sequences. Finally, movement sequences are grouped based on similarity by means of an agglomerative hierarchical clustering method. The applicability of this approach is tested using movement data from samba and tango dancers.http://europepmc.org/articles/PMC4504678?pdf=render |
| spellingShingle | Seyed Hossein Chavoshi Bernard De Baets Tijs Neutens Guy De Tré Nico Van de Weghe Exploring Dance Movement Data Using Sequence Alignment Methods. PLoS ONE |
| title | Exploring Dance Movement Data Using Sequence Alignment Methods. |
| title_full | Exploring Dance Movement Data Using Sequence Alignment Methods. |
| title_fullStr | Exploring Dance Movement Data Using Sequence Alignment Methods. |
| title_full_unstemmed | Exploring Dance Movement Data Using Sequence Alignment Methods. |
| title_short | Exploring Dance Movement Data Using Sequence Alignment Methods. |
| title_sort | exploring dance movement data using sequence alignment methods |
| url | http://europepmc.org/articles/PMC4504678?pdf=render |
| work_keys_str_mv | AT seyedhosseinchavoshi exploringdancemovementdatausingsequencealignmentmethods AT bernarddebaets exploringdancemovementdatausingsequencealignmentmethods AT tijsneutens exploringdancemovementdatausingsequencealignmentmethods AT guydetre exploringdancemovementdatausingsequencealignmentmethods AT nicovandeweghe exploringdancemovementdatausingsequencealignmentmethods |