An Analysis of Physiological Data Related to Motion Sickness for Use in a Real-Time Motion Sickness Indicator.

Abstract

The goal of this thesis project was to continue to collect physiological data on volunteers as motion sickness was induced, analyze the data collected, test and improve motion sickness indicators previously developed, for use in a real-time processor, and develop a method for testing the susceptibility to motion sickness for individuals. The existing data acquisition system was modified to produce better accuracy of the measured data. Additional sensors were added, sensor types and placements were modified. Circuits were modified to prevent overloading and to allow better tracking of the full range of expected physiological data points. Previous indicators were evaluated as to their accuracy and degree of their usefulness in a real-time processor. A susceptibility test was developed to allow the classification of a person as to their level of motion sickness susceptibility. Physiological data were analyzed on the basis of their relationship with the onset of motion sickness, to develop a motion sickness indicator.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1987
Accession Number
ADA189589

Entities

People

  • Michael E. Drylie

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Biomedical
  • Sensors

DTIC Thesaurus Topics

  • Accuracy
  • Acquisition
  • Air Force
  • Biofeedback
  • Computer Programs
  • Computers
  • Data Acquisition
  • Data Analysis
  • Electrical Engineering
  • Engineering
  • Flight Training
  • Health Services
  • Measurement
  • Medical Personnel
  • Motion Sickness
  • Processing Equipment
  • Statistical Analysis

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Regression Analysis.
  • Underwater engineering and Marine Technology.