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 individual's 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 human's 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.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2022
Accession Number
AD1173398

Entities

People

  • Amanda S. Koh
  • Chukwuma Nnaji
  • Dario Martelli

Organizations

  • University of Alabama

Tags

Communities of Interest

  • Autonomy
  • Biomedical

DTIC Thesaurus Topics

  • Assistive Technologies
  • Bioengineering
  • Biomedical Research
  • Body Temperature
  • Covid-19
  • Diseases And Disorders
  • Engineering
  • Environment
  • Heart Rate
  • Institutional Review Board
  • Machine Learning
  • Mechanical Engineering
  • Musculoskeletal Physiology
  • Students
  • Supervised Machine Learning
  • Universities
  • Wearable Technology

Readers

  • Exercise and Sports Science.
  • Systems Analysis and Design
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

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