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Proceedings Paper

Note on dynamics of human head motions and on predictive filtering of head-set orientations
Author(s): Karel Zikan; W. Dan Curtis; Henry A. Sowizral; Adam L. Janin
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Paper Abstract

We investigate the problem of predicting future head orientations from past and current data because the use of raw sensor data in a virtual environment creates visual misalignment due to system time-lag. We develop a form of a generalized calculus where we can investigate trajectories of orientations in their most natural setting. Using a generalization of the Taylor expansion, we derive first- and second-order dynamics, that we then test against real data. Empirically, we discovered that both kinds of dynamics give fairly accurate predictions and that the first-order dynamic gives consistently better predictions than the second-order dynamic. We explain this result by forming a hypothesis: that changes in the orientation of a human head tend to be very simple. Expect for very brief surges of muscle energy when acceleration or deceleration occurs, the orientation of a human head is either fixed, or it changes in a linear, constant-angle motion about a fixed axis. We also test our first-order predictor against a published extended Kalman filter and we find that the first-order dynamic predictions are approximately 20% more accurate and have smaller variance.

Paper Details

Date Published: 21 December 1995
PDF: 9 pages
Proc. SPIE 2351, Telemanipulator and Telepresence Technologies, (21 December 1995); doi: 10.1117/12.197325
Show Author Affiliations
Karel Zikan, Boeing Computer Services (United States)
W. Dan Curtis, Boeing Computer Services (United States)
Henry A. Sowizral, Boeing Computer Services (United States)
Adam L. Janin, Boeing Computer Services (United States)

Published in SPIE Proceedings Vol. 2351:
Telemanipulator and Telepresence Technologies
Hari Das, Editor(s)

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