DocumentCode
3471660
Title
A mechatronic analysis and synthesis of human walking gait
Author
Lugo-Villeda, Luis I. ; Frisoli, Antonio ; Gonzalez, Oscar O Sandoval ; Bergamasco, Massimo ; Parra-Vega, Vicente
Author_Institution
Perceptual Robot., PERCRO, Pisa
fYear
2009
fDate
14-17 April 2009
Firstpage
1
Lastpage
6
Abstract
Human walking gait (HWG) involves concurrently complex aspects of control, signal conditioning and processing, motion capture and biomechanical analysis as well as bioelectronic instrumentation and robot control. To merge some of these concepts into a unique framework, in this paper, a computational mechatronics scheme is proposed for the analysis and synthesis of HWG based on a seven-link sagittal rigid dynamical biped robot in closed-loop with an advanced force/position/velocity model-free position-force controller. Desired trajectories come from real human motion data: Lower-limbs walking gaits kinematic patterns are captured with a human motion Viconreg tracker system, including landing point, and impact (ground reaction) forces are obtained from femur/tibial muscles via EMG. A criteria is established to map such signals into a 7 DoF workspace of the dynamical biped robot. Fast dynamical tracking is achieved under real HWG patters, which provides greater insight into the design and control process of humanoid robotic biped locomotion.
Keywords
biomechanics; closed loop systems; force control; legged locomotion; position control; robot dynamics; robot kinematics; biomechanical analysis; closed-loop system; human walking gait; mechatronic analysis; mechatronic synthesis; seven-link sagittal rigid dynamical biped robot; Humans; Instruments; Legged locomotion; Mechatronics; Motion analysis; Motion control; Robots; Signal analysis; Signal processing; Signal synthesis;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechatronics, 2009. ICM 2009. IEEE International Conference on
Conference_Location
Malaga
Print_ISBN
978-1-4244-4194-5
Electronic_ISBN
978-1-4244-4195-2
Type
conf
DOI
10.1109/ICMECH.2009.4957242
Filename
4957242
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