Reducing The Latency In Head-Mounted Displays By A Novel Prediction Method Using Grey System Theory
| dc.contributor.author | Wu, Jiann-Rong | en_US |
| dc.contributor.author | Ouhyoung, Ming | en_US |
| dc.date.accessioned | 2014-10-21T07:31:24Z | |
| dc.date.available | 2014-10-21T07:31:24Z | |
| dc.date.issued | 1994 | en_US |
| dc.description.abstract | In this paper we propose a novel prediction method for the head motion using Grey System theory, where a 6D tracker is attached to an HMD on a user s head in virtual reality applications. Our prediction method using Grey System Model can greatly reduce the latency by at least one half and reduce image jittering. A system latency below 100 ms or even 50 ins can be achieved, even though without prediction the latency is around 200 ms. Using 6 points in prediction with Grey System Model is currently the best in tracker prediction as we tried from 2 points to 10 points.In order to measure the latency, we also propose a way to measure it in an HMD system precisely and conveniently. During the process, we have implemented four different prototypes respectively on a PC486, a SUN SparcStation10, an SGI IndigoR4000, and a high performance computer image generator. The computation complexity of our prediction method is relatively low and therefore real time requirement is easily met. | en_US |
| dc.description.number | 3 | en_US |
| dc.description.seriesinformation | Computer Graphics Forum | en_US |
| dc.description.volume | 13 | en_US |
| dc.identifier.doi | 10.1111/1467-8659.1330503 | en_US |
| dc.identifier.issn | 1467-8659 | en_US |
| dc.identifier.pages | 503-512 | en_US |
| dc.identifier.uri | https://doi.org/10.1111/1467-8659.1330503 | en_US |
| dc.publisher | Blackwell Science Ltd and the Eurographics Association | en_US |
| dc.title | Reducing The Latency In Head-Mounted Displays By A Novel Prediction Method Using Grey System Theory | en_US |