Smart Control Modes for Facilitating Use of Multi-DOF Upper Limb Prosthetics

Abstract

The proposed project centers on developing and evaluating a novel set of control modes for modern prosthetic wrist/terminal device systems that provide a much simpler interface between the user and the devices. These semi-autonomous smart control modes aim to manage some of the complexity of coordinated multi-joint movement, as apparent in the human wrist during everyday manipulation tasks. Such tasks may be keeping a soup spoon level when eating, tilting a cup towards the mouth when drinking or simply coordinating the motion of biological and artificial arm joints when reaching.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2019
Accession Number
AD1094893

Entities

People

  • Aaron Dollar
  • Adam Spiers
  • Kate Barnabe
  • Linda Resnik
  • Steven H. Huang

Organizations

  • Yale University

Tags

Communities of Interest

  • Autonomy
  • Human Systems

DTIC Thesaurus Topics

  • Accuracy
  • Algorithms
  • Amputees
  • Assistive Technologies
  • Biomedical Research
  • Data Processing
  • Department Of Defense
  • Human-Machine Interfaces
  • Inertial Measurement Units
  • Joints (Anatomy)
  • Kalman Filters
  • Machine Learning
  • Machines
  • Measurement
  • Medical Personnel
  • Motion Capture
  • Neural Networks
  • Prostheses And Implants
  • Prosthetics
  • Robotics
  • Students
  • Surgical Amputations
  • Upper Limb Amputees
  • Upper Limb Prostheses
  • Virtual Reality

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Gender and Food Studies
  • Robotics and Automation.