A Motion Sickness Prediction Model and System Description.
Abstract
The existing biophysical data acquisition system was modified and refined to improve data collection and analysis. Several of the parameter sensors were redesigned and several new sensors were added. Several of the previously used sensors such as thoracic and diaphragmatic respiration, temperature, and pallor were calibrated to provide a quantifiable range of data. The calibrated values can now be equated to recognizable values, such as volume (CC) for thoracic and diaphragmatic respiration, degrees fahrenheit for temperature, and the percentage of minimum to maximum blood flow for pallor. The electrical schematics of the sensors were updated to match the existing equipment. The collected data parameters were analyzed spectrally and statistically to produce a motion sickness prediction model. The data results for each parameter are discussed in depth with the onset of motion sickness. (Theses).
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 01, 1986
- Accession Number
- ADA177716
Entities
People
- Dana R. Hartle
Organizations
- Air Force Institute of Technology