Motus: A Framework for Human Motion Classification in a Not-controlled Moving Environment
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| المؤلفون: | , , |
|---|---|
| التنسيق: | artículo original |
| الحالة: | Versión publicada |
| تاريخ النشر: | 2020 |
| الوصف: | 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. |
| البلد: | Portal de Revistas TEC |
| المؤسسة: | Instituto Tecnológico de Costa Rica |
| Repositorio: | Portal de Revistas TEC |
| اللغة: | Inglés |
| OAI Identifier: | oai:ojs.pkp.sfu.ca:article/5076 |
| الوصول للمادة أونلاين: | https://revistas.tec.ac.cr/index.php/tec_marcha/article/view/5076 |
| كلمة مفتاحية: | MoCap classification segmentation feature selection data cleansing clasificación segmentación selección de características limpieza |