ARUP; ISBN: 978-0-9562121-5-3 - CMBBE 2012 - Cardiff University

elements algorithm from Adams solver embedded in LifeMOD plugin.
3.2 Validation process
In order to validate results obtained by the musculoskeletal model of the hand and
forearm, a two-step validation process is conducted. In the first step, we will compare
muscle activation derived from EMG data recording during motion capture
experiments, and muscle activation assessed by the musculoskeletal model of the hand
and forearm. In the second step, experimental data of external force (obtained with the
manual dynamometer) will be compared with resulting external force computed by the
model during the simulation.
4. RESULTS
4.1 Muscle activation
For experimental EMG data, muscle activation is derived from the method of Buchanan
and colleagues (2004). The musculoskeletal model of the hand and forearm also
provided simulated muscle activation (see Fig.3). Comparative graphics have been
plotted for the maximal grasping task.
Figure 3: Validation method for EMG data. Experimental and estimated data have been obtained
during the maximal grasping task.
4.2 External forces
The manual dynamometer used during motion capture experiments provided resulting
external forces on the longitudinal axis. By integrating a contact force algorithm in the
environment of the musculoskeletal model, we were able to obtain resulting external
forces applied on the manual dynamometer during the maximal grasping task. Both
values, experimental and evaluated, have been compared and showed qualitative
correspondences.
5. DISCUSSION
5.1 Validation process