Data science has transformed fields such as computer vision and economics. The ability of modern data science methods to extract insights from large, complex, heterogeneous, and noisy datasets is beginning to provide a powerful complement to the traditional approaches of experimental motion capture and biomechanical modeling. The purpose of this article is to provide a perspective on how data s...

300 words 33 Text Pages: 33 34 Total Figures: 9 35 Black and White figures: 1 36 Color figures: 8 37 Tables: 1 38 39 Articles in PresS. J Neurophysiol (March 16, 2011). doi:10.1152/jn.00992.2010 Copyright © 2011 by the American Physiological Society. Page 2 40 Abstract 41 42 In the present study, we determined whether cells in the posterior parietal cortex (PPC) 43 may contribute to the plannin...

The gait of a multi-segment inchworm robot is a series of actuator actions that will change the shape of the robot to generate a net motion. In this article, we model the multisegment inchworm robot as a jinite state automaton. Gait generation is posed as a search problem on the graph described by the automaton with prescribed state transitions. The state transitions are defined based on the ki...

The mixture of gait deviations seen in patients following a stroke is remarkably variable. An objective system for classification of gait patterns for this population could be used to guide treatment planning. Quantitated gait analysis was conducted for 47 individuals at admission to in-patient rehabilitation and again at 6 months post-stroke for 42 subjects. Non-hierarchical cluster analysis w...

INTRODUCTION Chronic neck pain after whiplash is notoriously refractory to conservative treatment, and positive radiological findings to explain the symptoms are scarce. The apparent disproportionality between subjective complaints and objective findings is significant for the planning of treatment, impairment ratings, and judicial questions on causation. However, failure to identify a symptom'...

We present the case of a forty year old male who sustained a torn carotid during strenuous physical activity. This was followed by a right hemispheric stroke due to a clot associated with the carotid. Upon recovery, the patient's gait was characterized as hemiparetic with a stiff-knee pattern, a fixed flexion deformity of the toe flexors, and a hindfoot varus. Based on clinical exams and radiog...

Voluntary drive is crucial for motor learning, therefore we are interested in the role that motor planning plays in gait movements. In this study we examined the impact of an interactive Virtual Environment (VE) feedback task on the EEG patterns during robot assisted walking. We compared walking in the VE modality to two control conditions: walking with a visual attention paradigm, in which vis...

Bipedal walking is a challenging task for humanoid robots. In this study, we develop lightweight reinforcement learning method real-time gait planning of the biped robot. We regard bipedal as process in which robot constantly interacts with environment, judges quality control action through state, and then adjusts strategy. A mean-asynchronous advantage actor-critic (M-A3C) algorithm proposed t...

BACKGROUND/OBJECTIVE Improving ambulation in patients with spinal cord injuries (SCIs) is a major challenge for the clinician. Physical examination can be supplemented with biomechanic information from the gait laboratory to comprehensively evaluate and improve walking. Gait analysis is an effective method to evaluate 3-dimensional dynamic joint range of motion (kinematics) and forces (kinetics...

The paper introduces the Switching Four-bar Mechanism (sfm), a new low-dimensional kinematic abstraction forminiature legged robots, aimed at quasi-static motion planning in the horizontal plane. The model comprises a rigid torso and four rigid legs which engage in an alternating tetrapod gait. As the gait is executed, the torso and the legs form two switching four-bar linkages, parameterized b...