AIMC Topic: Hand Strength

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Modulation of grasping force in prosthetic hands using neural network-based predictive control.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2015
This chapter describes the implementation of a neural network-based predictive control system for driving a prosthetic hand. Nonlinearities associated with the electromechanical aspects of prosthetic devices present great challenges for precise contr...
Humans Neural Networks, Computer Hand Strength Signal Processing, Computer-Assisted Hand Artificial Limbs Prosthesis Design Models, Biological Activities of Daily Living Mechanical Phenomena
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A method to study precision grip control in viscoelastic force fields using a robotic gripper.

IEEE transactions on bio-medical engineering Jan 1, 2015
Instrumented objects and multipurpose haptic displays have commonly been used to investigate sensorimotor control of grasping and manipulation. A major limitation of these devices, however, is the extent to which the experimenter can vary the interac...
Humans Female Reproducibility of Results Adult Sensitivity and Specificity Male Hand Strength Robotics Equipment Design Stress, Mechanical Viscosity Task Performance and Analysis Manometry Equipment Failure Analysis Man-Machine Systems Physical Examination Physical Stimulation Feedback, Physiological Elastic Modulus
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