Pose temporal estimation in markerless normal human gait integrating kinematic patterns and segmented video
Abstract. Human Gait Analisys have become in a relevant field and its findings have been incorporated to the clinicians’ daily routines. Human Locomotion is evaluated, usually, in laboratories and with the corresponding protocols, some issues of the kinematics processing need to be attended, particu...
- Autores:
-
Lozano Carrillo, Juan Camilo
- Tipo de recurso:
- Fecha de publicación:
- 2015
- Institución:
- Universidad Nacional de Colombia
- Repositorio:
- Universidad Nacional de Colombia
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unal.edu.co:unal/56473
- Acceso en línea:
- https://repositorio.unal.edu.co/handle/unal/56473
http://bdigital.unal.edu.co/52245/
- Palabra clave:
- 61 Ciencias médicas; Medicina / Medicine and health
62 Ingeniería y operaciones afines / Engineering
Human gait analisys
Markerless analisys
Pose recovery
Parkinson disease
Neurodegenerative diseases
Análisis Sin Marcadores
Estimación de Posturas
Enfermedad de Parkinson
Análisis de Marcha Humana
Enfermedades Neurodegenerativas
- Rights
- openAccess
- License
- Atribución-NoComercial 4.0 Internacional
| Summary: | Abstract. Human Gait Analisys have become in a relevant field and its findings have been incorporated to the clinicians’ daily routines. Human Locomotion is evaluated, usually, in laboratories and with the corresponding protocols, some issues of the kinematics processing need to be attended, particularly because although there have been developments in analytic tools, some particularities of the technique lead to error and different opinions depending on the expertise of the health professional. The aim of this work is integrate information from two sources, kinematics patterns and markerless video. Two sets of information are evaluated: normal subjects and Parkinson's dissease patients. // |
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