  In recent years, muscle synergies have been pro-posed for proportional
myoelectric control. Synergies were extracted using matrix factorisation
techniques (mainly non-negative matrix factorisation, NMF), which requires
identification of synergies to tasks or movements. In addition, NMF methods
were viable only with a task dimension of 2 degrees of freedoms(DoFs). Here,
the potential use of a higher-order tensor model for myoelectric control is
explored. We assess the ability of a constrained Tucker tensor decomposition to
estimate consistent synergies when the task dimensionality is increased up to
3-DoFs. Synergies extracted from 3rd-order tensor of 1 and 3 DoFs were
compared. Results showed that muscle synergies extracted via constrained Tucker
decomposition were consistent with the increase of task-dimension. Hence, these
results support the consideration of proportional 3-DoF myoelectric control
based on tensor decompositions.
