EMG Versus Torque Control of Human-Machine Systems: Equalizing Control Signal Variability Does not Equalize Error or Uncertainty

• Published in: IEEE transactions on neural systems and rehabilitation engineering Vol. 25; no. 6; pp. 660 - 667
• Main Authors: Johnson, Reva E., Kording, Konrad P., Hargrove, Levi J., Sensinger, Jonathon W.
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.06.2017; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adult; Artificial Limbs; Computer Simulation; Control systems; Elbow; Electromyographic (EMG); Electromyography; Electromyography - methods; Equipment Design; Equipment Failure Analysis; Error analysis; Exoskeleton Device; Feedback; Feedback, Sensory - physiology; Female; Humans; Male; Man-Machine Systems; Models, Biological; Muscle Contraction - physiology; myoelectric control; Neurological Rehabilitation - instrumentation; Neurological Rehabilitation - methods; Noise control; Noise prediction; Perturbation methods; Psychomotor Performance - physiology; Reproducibility of Results; Robotics - instrumentation; Robotics - methods; Sensitivity and Specificity; Signal to noise ratio; Systematic errors; Torque; Torque control; Uncertainty; upper limb prosthesis; Variability; Visual perception; Visualization

In this paper we asked the question: if we artificially raise the variability of torque control signals to match that of EMG, do subjects make similar errors and have similar uncertainty about their movements? We answered this question using two experiments in which subjects used three different con...