The Prediction and Evaluation of Strength and Fatigue to Prevent Warfighter Musculoskeletal Injuries

Abstract

Musculoskeletal disorders are common for people who work on strenuous and demanding tasks, such as nurses, construction workers,and soldiers. The injuries come from overexertion of the individuals related muscle groups that are required to be activated to complete a specific task in various environments. A current solution is the use of robotic-aid devices. These robotic devices are being investigated to treat musculoskeletal injuries and significantly increase a humans capacity in heavy working conditions. However, the design of the human-machine interaction force remains an obstacle to the implementation of effective assistance to people in practical working scenarios due to the environmental variety, task complexity, and human variation and uncertainty. Previous studies showed that the metabolic cost of exercise will be increased instead of reduced if improper forces are provided by the machine. Thus, accurate estimations of the required machine force application to the individual are critical to labor saving and muscle health.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2023
Accession Number
AD1203287

Entities

People

  • Amanda Koh
  • Chukwuma Nnaji
  • Dario Martelli

Organizations

  • Texas A&M University
  • University of Alabama

Tags

Communities of Interest

  • Autonomy
  • Human Systems
  • Sensors

DTIC Thesaurus Topics

  • Assistive Technologies
  • Biomedical Research
  • Body Temperature
  • Construction
  • Covid-19
  • Diseases
  • Engineering
  • Environment
  • Health
  • Human-Machine Interaction
  • Information Science
  • Institutional Review Board
  • Machine Learning
  • Mathematical Models
  • Mechanical Engineering
  • Models
  • Musculoskeletal Physiology
  • Neural Networks
  • Public Health
  • Students
  • Supervised Machine Learning
  • Universities
  • Wearable Technology

Readers

  • Exercise and Sports Science.
  • Neurotrauma and Rehabilitation Medicine.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • Autonomy
  • Autonomy - Human-Robot Interaction