Motus: A Framework for Human Motion Classification in a Notcontrolled Moving Environment
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| Format: | Artículo científico |
| Language: | en |
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Instituto Tecnológico de Costa Rica
2020
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| _version_ | 1876448530471583744 |
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| author | Joselyn Rodríguez-González |
| author_facet | Joselyn Rodríguez-González |
| contents | Motus: A Framework for Human Motion Classification in a Notcontrolled Moving Environment Joselyn Rodríguez-González María Hernández-López Francisco Siles-Canales Ingeniería MoCap segmentation classification data cleansing feature selection This work introduces a framework proposal based on various algorithms, processes, and methods to classify Motion Capture (MoCap) data. To provide a generalized model for MoCap data classification, the approach is defined step by step: data collecting, data cleansing, segmentation, data pre-processing, feature selection, model selection, and validation. For each step, we selected and evaluated algorithms, process and methods have shown good performance in previous studies, all of them were proved and validated in BVH databases, but in not freely moving environment. 2020 artículo científico 2215-3241 https://www.redalyc.org/articulo.oa?id=699878645010 en http://www.redalyc.org/revista.oa?id=6998 Tecnología en marcha application/pdf Instituto Tecnológico de Costa Rica Tecnología en marcha (Costa Rica) Num.CARLA Vol.33 |
| format | Artículo científico |
| id | redalyc_699878645010 |
| institution | Redalyc |
| language | en |
| publishDate | 2020 |
| publisher | Instituto Tecnológico de Costa Rica |
| spellingShingle | Motus: A Framework for Human Motion Classification in a Notcontrolled Moving Environment Joselyn Rodríguez-González Ingeniería MoCap segmentation classification data cleansing feature selection Motus: A Framework for Human Motion Classification in a Notcontrolled Moving Environment Joselyn Rodríguez-González María Hernández-López Francisco Siles-Canales Ingeniería MoCap segmentation classification data cleansing feature selection This work introduces a framework proposal based on various algorithms, processes, and methods to classify Motion Capture (MoCap) data. To provide a generalized model for MoCap data classification, the approach is defined step by step: data collecting, data cleansing, segmentation, data pre-processing, feature selection, model selection, and validation. For each step, we selected and evaluated algorithms, process and methods have shown good performance in previous studies, all of them were proved and validated in BVH databases, but in not freely moving environment. 2020 artículo científico 2215-3241 https://www.redalyc.org/articulo.oa?id=699878645010 en http://www.redalyc.org/revista.oa?id=6998 Tecnología en marcha application/pdf Instituto Tecnológico de Costa Rica Tecnología en marcha (Costa Rica) Num.CARLA Vol.33 |
| title | Motus: A Framework for Human Motion Classification in a Notcontrolled Moving Environment |
| topic | Ingeniería MoCap segmentation classification data cleansing feature selection |
| url | https://www.redalyc.org/articulo.oa?id=699878645010 |