Abstract
This paper aims to develop and validate a subject-specific framework for modelling the human hand. This was achieved by combining medical image-based finite element modelling, individualized muscle force and kinematic measurements. Firstly, a subject-specific human hand finite element (FE) model was developed. The geometries of the phalanges, carpal bones, wrist bones, ligaments, tendons, subcutaneous tissue and skin were all included. The material properties were derived from in-vivo and in-vitro experiment results available in the literature. The boundary and loading conditions were defined based on the kinematic data and muscle forces of a specific subject captured from the in-vivo grasping tests. The predicted contact pressure and contact area were in good agreement with the in-vivo test results of the same subject, with the relative errors for the contact pressures all being below 20%. Finally, sensitivity analysis was performed to investigate the effects of important modelling parameters on the predictions. The results showed that contact pressure and area were sensitive to the material properties and muscle forces. This FE human hand model can be used to make a detailed and quantitative evaluation into biomechanical and neurophysiological aspects of human hand contact during daily perception and manipulation. The findings can be applied to the design of the bionic hands or neuro-prosthetics in the future.
Highlights
Hands are used to perceive and manipulate objects during daily life
The hand was divided into six different contact regions: five fingers and one palm
The muscle forces and joint angles from each test were imported into the finite element (FE) model, resulting in 6 simulations
Summary
The sense of touch and its coding mechanism make it possible for us to interact with this world. In the study of motor control, the muscle synergy controlling strategies and their resultant grasping stability need to be well investigated before its application to the bionic or robotic hand design. In haptic or neurophysiological investigation, afferent tactile signals cannot be well-captured during active touch or manipulation procedure. There is no practical method to investigate the neurophysiological aspects of hand perception during manipulation.[23,44,45] a digital or mathematical model of a human hand is urgently needed for the ergonomic, biomechanical and neurophysiological investigations of tactile mechanics. It will be a powerful numerical tool for the design of a bionic or haptic interfaced hand
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