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 within6.0% 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
Jul 01, 2019
Accession Number
AD1093262

Entities

People

  • Peter G Weyand

Organizations

  • Southern Methodist University

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Birds
  • Body Weight
  • Computational Science
  • Data Analysis
  • Databases
  • Information Science
  • Institutional Review Board
  • Joints (Anatomy)
  • Measurement
  • Mechanics
  • Medical Personnel
  • Predictive Modeling
  • Spreadsheet Software
  • Statistical Analysis
  • Test Methods
  • Waveforms

Readers

  • Computational Modeling and Simulation
  • Exercise and Sports Science.