Wilson, Katie2023-03-012023-03-012018Thesis 10166https://unbscholar.lib.unb.ca/handle/1882/14220Understanding the stereotypical characteristics of human movement can better inform rehabilitation practices by providing a template of healthy and expected human motor control. Multiplicative noise is inherent in goal-directed movement, and plays an important role in computational motor control models to help support phenomena such as stereotypical kinematic profiles in time-constrained and unconstrained tasks. Most tasks are not carried out along an isolated degree-of-freedom (DOF), and modelling the contribution of noise can be difficult. In this work, we add a noise term proportional to the degree of simultaneity for multi-DOF tasks to approximate the contribution of system noise, and compare the simulation results against data from a 2-DOF experiment. With this approach, our model is able to explain previously observed motor phenomena including the presence of submovements in multi-DOF tasks, and the transition from simultaneousto sequential control of joints without the presence of visual feedback.text/xmlx, 69 pageselectronicen-CAhttp://purl.org/coar/access_right/c_abf2Motor ability--Mathematical models.Motor ability--Noise--Mathematical models.Human mechanics--Mathematical models.Joints--Range of motion--Mathematical models.Signal processing--Noise--Mathematical models.Myoelectric prosthesis--Mathematical models.Biological models.Degree of freedom.master thesis2023-03-01Englehart, KevinSensinger, Jonathon(OCoLC)1401756937Electrical and Computer Engineering