Sensory Mechanism Modeling.
Abstract
The purpose of this study was to model human motion and orientation sensing mechanisms so that simulator motion cueing systems can be designed to take full advantage of the characteristics of these sensory mechanisms. Individual models for vestibular, visual, tactile, and proprioceptive sensors have been either adapted from previous modeling work or formulated from available psychophysical and neurophysiological data. A literature search was conducted to help identify material in the area of mechanoreceptor systems, and the resulting bibliography is included. A composite model structure has been proposed, using a Kalman filter blending technique to integrate information from the different sensory modalities into a single estimate of state. The Kalman filter represents the presumed function of neural central processing. The model has been implemented in the form of a digital computer program, and promising preliminary results, in qualitative agreement with known responses, have been obtained using only vestibular model components. Ongoing work is directed at exercising the nonvestibular modalities, performing thorough validation and exercise of the entire model, and extending the model where possible.
Document Details
- Document Type
- Technical Report
- Publication Date
- Oct 01, 1977
- Accession Number
- ADA049278
Entities
People
- Joshua Borah
- Laurence R. Young
- Renwick E. Curry