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https://hdl.handle.net/10495/9039| Título : | Human movements evaluation using depth sensors |
| Autor : | Palma Roldán, Carlos Fernando |
| metadata.dc.contributor.advisor: | Vargas Bonilla, Jesús Francisco Salazar Jiménez, Augusto Enrique |
| metadata.dc.subject.*: | Sensores Sensors Datos Data Deformación http://aims.fao.org/aos/agrovoc/c_28279 http://aims.fao.org/aos/agrovoc/c_49816 |
| Fecha de publicación : | 2017 |
| Citación : | Palma Roldán, C. F. (2017). Human movements evaluation using depth Sensors. (Tesis de maestría). Universidad de Antioquia, Medellín, Colombia. |
| Resumen : | ABSTRACT: This works explore the use of depth sensor data to determine whether a human being is executing a movement according to an specification. The sensor chosen to collect data was a kinect V1. Several different techniques are explored: Finite State Machines, Multi-Dimensional Dynamic Time Warping, discrete Hidden Markov Models and Continuous Hidden Markov Models. A set of activities chosen according to an expert’s criteria is used to test the applicability of the different approaches to the task at hand. Results are presented for each technique. |
| Aparece en las colecciones: | Maestrías de la Facultad de Ingeniería |
Ficheros en este ítem:
| Fichero | Descripción | Tamaño | Formato | |
|---|---|---|---|---|
| PalmaCarlos_2017_HumanMovementsEvaluation.pdf | Tesis de maestría | 4.19 MB | Adobe PDF | Visualizar/Abrir |
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