Locomotion with Loads: Practical Techniques for Predicting Performance Outcomes

Abstract

Here, load carriage interventions for walking energy expenditure and running speed have been designed to: 1) advance existing models and 2) contribute needed data to the broader effort to develop load-carriage decision-aid tools for modern soldiers. We hypothesize first that our height, weight (including load), speed, and grade algorithms proposed will allow walking metabolic rates to be predicted to within 6.0 and 12.0% in laboratory and field settings, respectively. We hypothesize second that the speed-load carriage algorithms will allow load-induced decrements in all-out sprint running speeds to be predicted to within 6.0% in both laboratory and field settings. Respective load-carriage algorithms for walking energy expenditure and running speed will be developed and tested (Technical Objectives 1.0 and 2.0) in the laboratory and the field.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2014
Accession Number
ADA610995

Entities

People

  • Peter G Weyand

Organizations

  • Southern Methodist University

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Accuracy
  • Acquisition
  • Algorithms
  • Body Weight
  • Carriages
  • Data Acquisition
  • Data Analysis
  • Data Sets
  • Field Tests
  • Froude Number
  • Information Science
  • Locomotion
  • Materials
  • Motion Capture
  • Predictive Modeling
  • Steady State
  • Test Methods

Readers

  • Computational Modeling and Simulation
  • Exercise and Sports Science.