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Force Shadows: An Online Method to Estimate and Distribute Vertical Ground Reaction Forces from Kinematic Data
- Source :
- Sensors (Basel, Switzerland), Sensors, Volume 20, Issue 19, Sensors, Vol 20, Iss 5709, p 5709 (2020), Sensors 20(19), 5709 (2020). doi:10.3390/s20195709 special issue: "Special Issue "Sensor-Based Systems for Kinematics and Kinetics" / Special Issue Editor: Prof. Dr. Stefano Rossi, Guest Editor"
- Publication Year :
- 2020
- Publisher :
- MDPI AG, 2020.
-
Abstract
- Kinetic models of human motion rely on boundary conditions which are defined by the interaction of the body with its environment. In the simplest case, this interaction is limited to the foot contact with the ground and is given by the so called ground reaction force (GRF). A major challenge in the reconstruction of GRF from kinematic data is the double support phase, referring to the state with multiple ground contacts. In this case, the GRF prediction is not well defined. In this work we present an approach to reconstruct and distribute vertical GRF (vGRF) to each foot separately, using only kinematic data. We propose the biomechanically inspired force shadow method (FSM) to obtain a unique solution for any contact phase, including double support, of an arbitrary motion. We create a kinematic based function, model an anatomical foot shape and mimic the effect of hip muscle activations. We compare our estimations with the measurements of a Zebris pressure plate and obtain correlations of 0.39&le<br />r&le<br />0.94 for double support motions and 0.83&le<br />0.87 for a walking motion. The presented data is based on inertial human motion capture, showing the applicability for scenarios outside the laboratory. The proposed approach has low computational complexity and allows for online vGRF estimation.
- Subjects :
- Inertial frame of reference
Computer science
0206 medical engineering
Motion (geometry)
Walking
02 engineering and technology
Kinematics
lcsh:Chemical technology
Kinetic energy
Biochemistry
Article
Analytical Chemistry
pressure
03 medical and health sciences
0302 clinical medicine
Control theory
Humans
lcsh:TP1-1185
Boundary value problem
Electrical and Electronic Engineering
Ground reaction force
Gait
Instrumentation
Mechanical Phenomena
vertical ground reaction force prediction
Foot
Work (physics)
Vertical ground reaction force
mobile kinetic analysis
030229 sport sciences
Function (mathematics)
plantar pressure distribution
020601 biomedical engineering
Atomic and Molecular Physics, and Optics
Biomechanical Phenomena
vertical ground reaction force
inertial motion capture
ddc:620
ddc:004
ground reaction force
Subjects
Details
- ISSN :
- 14248220
- Volume :
- 20
- Database :
- OpenAIRE
- Journal :
- Sensors
- Accession number :
- edsair.doi.dedup.....3b5b3ca9ec176b68b05fd2777e6d3766