Publication statistics

Pub. period:1994-2000
Pub. count:4
Number of co-authors:3


Number of publications with 3 favourite co-authors:

Jei-Tun Wu:
Cha-Dong Duh:
Ming Ouhyoung:



Productive colleagues

Jiann-Rong Wu's 3 most productive colleagues in number of publications:

Ming Ouhyoung:17
Jei-Tun Wu:1
Cha-Dong Duh:1

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Jiann-Rong Wu


Publications by Jiann-Rong Wu (bibliography)

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Wu, Jiann-Rong and Ouhyoung, Ming (2000): On latency compensation and its effects on head-motion trajectories in virtual environments. In The Visual Computer, 16 (2) pp. 79-90.

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Wu, Jiann-Rong, Duh, Cha-Dong, Ouhyoung, Ming and Wu, Jei-Tun (1997): Head motion and latency compensation on localization of 3D sound in virtual reality. In: VRST 1997 1997. pp. 15-20.

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Wu, Jiann-Rong and Ouhyoung, Ming (1995): A 3D Tracking Experiment on Latency and its Compensation Methods in Virtual Environments. In: Robertson, George G. (ed.) Proceedings of the 8th annual ACM symposium on User interface and software technology November 15 - 17, 1995, Pittsburgh, Pennsylvania, United States. pp. 41-49.

In this paper, we conducted an experiment on the latency and its compensation methods in a virtual reality application using an HMD and a 3D head tracker. Our purpose is to make a comparison both in the simulation and in the real task among four tracker prediction methods: the Grey system theory based prediction proposed in 1994, the Kalman filtering which is well-known and wide-spreading since 1991, a simple linear extrapolation, and the basic method without prediction. In our 3D target tracing task that involved eight subjects, who used their head motion to trace a flying target in random motion, we have found that when the system latency is 120ms, two prediction methods, Kalman filtering (not inertial-based) and Grey system prediction, are significantly better than the one without prediction, and the former two methods are equally well in performance. Typical motion trajectories of four methods in simulation are plotted, and jittering effects are examined. In terms or jittering at 120ms prediction length, Kalman filtering was evaluated to have the largest.

© All rights reserved Wu and Ouhyoung and/or ACM Press

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Wu, Jiann-Rong and Ouhyoung, Ming (1994): Reducing the Latency in Head-Mounted Displays by a Novel Prediction Method using Grey System Theory. In Comput. Graph. Forum, 13 (3) pp. 503-512.

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