2015 10th International Symposium on Mechatronics and Its Applications (ISMA) 2015
DOI: 10.1109/isma.2015.7373477
|View full text |Cite
|
Sign up to set email alerts
|

Toward a human-like biped robot gait: Biomechanical analysis of human locomotion recorded by Kinect-based Motion Capture system

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
5
0
2

Year Published

2016
2016
2022
2022

Publication Types

Select...
4
3

Relationship

2
5

Authors

Journals

citations
Cited by 9 publications
(7 citation statements)
references
References 11 publications
0
5
0
2
Order By: Relevance
“…For straightforward motion it is assumed that in a frontal plane a swing leg is perpendicular to the ground (or support plane) at each time instance, a swing foot is parallel to the ground, and a hip height remains constant during the locomotion. These assumptions arise from human natural walk analysis (Gabbasov et al, 2015) and are widely applied in experimental works for biped locomotion (Yussof et al, 2008). Taking into account that a desired trajectory of a swing leg lies in a sagittal plane, all joint coordinates of the swing leg are uniquely defined for any foot and hip locations.…”
Section: Problem Statementmentioning
confidence: 99%
“…For straightforward motion it is assumed that in a frontal plane a swing leg is perpendicular to the ground (or support plane) at each time instance, a swing foot is parallel to the ground, and a hip height remains constant during the locomotion. These assumptions arise from human natural walk analysis (Gabbasov et al, 2015) and are widely applied in experimental works for biped locomotion (Yussof et al, 2008). Taking into account that a desired trajectory of a swing leg lies in a sagittal plane, all joint coordinates of the swing leg are uniquely defined for any foot and hip locations.…”
Section: Problem Statementmentioning
confidence: 99%
“…Mocap permite la captura de parámetros de movimiento lineales y coordenadas angulares, velocidades y aceleraciones para extremidades y articulaciones. El hardware Mocap depende en gran medida de la tecnología de captura de movimiento (marcador o sin marcador), y puede usar sensores con diferentes principios físicos: cámaras 2D/3D para detección óptica, sensores magnéticos con imanes permanentes y receptores de bobina para registrar cambios en el campo magnético, esqueletos mecánicos para rastreo directo de ángulos de articulación, o basados en sensores inerciales como acelerómetros y giróscopos [8].…”
Section: Introductionunclassified
“…Pueo y Jimenez [11] reportan que los métodos existentes para la captura del movimiento utilizan una variedad de técnicas, entre las que se incluyen sistemas con múltiples cámaras de video que trabajan con luz infrarroja y sistemas con una única cámara con sensores adicionales para recuperar información de profundidad de la escena. El sistema óptico Mocap se basa en la captura de imágenes 2D usando varias cámaras y encontrando un modelo 3D por triangulación con la ayuda de marcadores activo/pasivo o sin ellos [8]. Otros sistemas de captura están evolucionando con la incorporación de técnicas que no requieren de marcadores [12,13].…”
Section: Introductionunclassified
“…To deal with this issue, Ha and Cho 9 proposed a novel simplified robot model, which is called Virtual Height Inverted Pendulum Model (VHIPM) and experimentally demonstrated that the ZMP error could be significantly reduced by varying the height of Center of Mass (CoM) in their LIPM model. In this paper we present two pattern generation principles: preview control method and VHIPM method with LIPM model 10,11 . The algorithms modelling, experiments and testing were carried out in MATLAB/ Simulink environment.…”
Section: Introductionmentioning
confidence: 99%