Abstract
Instructions for physical exercises leave many details underspecified that are taken for granted and inferred by the intended reader. For certain applications, such as generating virtual action visualizations from such textual instructions, advanced text processing is needed, requiring interpretation of both implicit and explicit information. This work presents an ontology that can support the semantic analysis of such instructions in order to support the identification of matching action constructs. The proposed ontology lays down a hierarchical structure following the human body structure along with various type of movement restrictions. This facilitates flexible yet adequate representations.
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CITATION STYLE
Dash, S. K., Pakray, P., Porzel, R., Smeddinck, J., Malaka, R., & Gelbukh, A. (2018). Designing an ontology for physical exercise actions. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10761 LNCS, pp. 354–362). Springer Verlag. https://doi.org/10.1007/978-3-319-77113-7_28
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