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A Delay Compensation Scheme based on Prediction for Networked Haptic Collaboration System

Identifieur interne : 005A63 ( Main/Exploration ); précédent : 005A62; suivant : 005A64

A Delay Compensation Scheme based on Prediction for Networked Haptic Collaboration System

Auteurs : Seokho Son [Corée du Sud] ; Seokhee Lee [Corée du Sud] ; JONG WON KIM [Corée du Sud]

Source :

RBID : Pascal:08-0409073

Descripteurs français

English descriptors

Abstract

Network delay in haptic-based CVEs (collaborative virtual environments) severely deteriorates the haptic interaction quality (e.g., larger force feedback than real). In order to compensate this delay effect. existing studies dynamically change spring and damper coefficients according to the network delay. However, it is difficult to choose proper coefficients to offset the delay effect by precisely reflecting virtual object characteristics. In this paper, a new delay-compensation scheme based on the force feedback prediction is proposed to improve the force feedback experience. By predicting the virtual object movements and force feedback, the proposed scheme in client side provides timely force feedback to a user. Then, it gradually converges to real (but delayed) information from the server in order to maintain the consistency of virtual environment. According to the experiment results. the proposed scheme can improve the haptic interaction quality by providing more realistic force feedback similar to that of no network delay.


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<div type="abstract" xml:lang="en">Network delay in haptic-based CVEs (collaborative virtual environments) severely deteriorates the haptic interaction quality (e.g., larger force feedback than real). In order to compensate this delay effect. existing studies dynamically change spring and damper coefficients according to the network delay. However, it is difficult to choose proper coefficients to offset the delay effect by precisely reflecting virtual object characteristics. In this paper, a new delay-compensation scheme based on the force feedback prediction is proposed to improve the force feedback experience. By predicting the virtual object movements and force feedback, the proposed scheme in client side provides timely force feedback to a user. Then, it gradually converges to real (but delayed) information from the server in order to maintain the consistency of virtual environment. According to the experiment results. the proposed scheme can improve the haptic interaction quality by providing more realistic force feedback similar to that of no network delay.</div>
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