Sensory Mechanism Modeling.

Abstract

Pilots use information from a variety of sensory mechanisms to determine their estimate of orientation and motion. An understanding of this process and a quantitative model are essential for development of effective simulator motion cueing devices. A multisensory model for dynamic spatial orientation is being developed for this purpose. Aircraft or simulator motion is translated into stimuli which are processed by dynamic models of the appropriate sensors (visual, vestibular, tactile, and proprioceptive), and are then fed to a central estimator which has been modeled as a linear optimal estimator, specifically a steady state Kalman Filter. In addition to the linear estimation process, some non-linear effects, such as the well documented delay in onset of visually induced motion, require non-linear additions to the model. Such additions have been kept to a minimum so as to retain the uniqueness and conceptual appeal of a linear optimization algorithm. The model has been implemented as a computer program and has predicted some of the important qualitative characteristics of human dynamic spatial orientation under combined wide field visual motion and platform motion. Several types of special tactile and proprioceptive cues are also being considered but have not been validated. The modeling effort has underscored the need for additional data in some areas and several experiments have been suggested to help fill these gaps. (Author)

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1979
Accession Number
ADA069439

Entities

People

  • Joshua Borah
  • Laurence R. Young
  • Renwick E. Curry

Tags

Communities of Interest

  • Biomedical
  • Ground and Sea Platforms
  • Materials and Manufacturing Processes
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Algorithms
  • Angular Acceleration
  • Computer Programs
  • Computers
  • Databases
  • Ear
  • Estimators
  • Kalman Filters
  • Measurement
  • Nervous System
  • Optimal Estimators
  • Pressure Distribution
  • Sensory Receptor Cells
  • Simulators
  • Skeletal Muscle

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Theoretical Analysis.