Accession Number:

ADA028467

Title:

A Maximum Likelihood Approach for Identifying Human Operator Remnant in a Tracking Task,

Descriptive Note:

Corporate Author:

AEROSPACE MEDICAL RESEARCH LAB WRIGHT-PATTERSON AFB OHIO

Report Date:

1975-01-01

Pagination or Media Count:

8.0

Abstract:

By applying a maximum, likelihood approach to identification with empirical data from a tracking task, the output signal uncorrelated with the input signal a definition of human operator remnant can be determined. To obtain this remnant signal, a linear, stationary model describing the human is utilized. The innovations signal is computed from the difference in the empirical data and the models output. The remnant can then be identified using the innovations sequence by computing the component of the output signal which is uncorrelated or orthogonal to the input signal. Data from a Roll Axis Tracking Simulator is analyzed and remnant is identified to two phases of tracking with and without motion information. Author

Subject Categories:

  • Personnel Management and Labor Relations
  • Theoretical Mathematics
  • Human Factors Engineering and Man Machine Systems

Distribution Statement:

APPROVED FOR PUBLIC RELEASE