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＜conference paper＞
VR System that Minimize VR Sickness by Incorporating User's Personal Characteristics with Neural Networks

Creator	Author PID 0000-0002-1431-9472 K002333 Creator Name 高木, 英行 Takagi, Hideyuki タカギ, ヒデユキ Affiliation Affiliation Name 九州大学大学院芸術工学研究院 Faculty of Design, Kyushu University
Creator	Creator Name 田中, 信壽 Tanaka, Nobuhisa タナカ, ノブヒサ Affiliation Affiliation Name 九州芸術工科大学大学院芸術工学研究科 Graduate School of Design, Kyushu University
Language	Japanese
Publisher	日本知能情報ファジィ学会九州支部
Publisher	Japan Society for Fuzzy Theory and Systems
Date	2005-12-10
Source Title	日本ファジィ学会九州支部学術講演会論文集
Source Title	Proceedings of Annual Conference of SOFT Kyushu Chapter
Vol	7
First Page	111
Last Page	114
Conference	Name 日本ファジィ学会九州支部学術講演会 Sequence 7 Sponsor 日本ファジィ学会九州支部 Date Dec. 10, 2005 Venue 早稲田大学情報生産システム研究科 Waseda University Place 東京 Tokyo Country Japan
Publication Type	Version of Record
Access Rights	open access
Abstract	We propose a YR system that incorporates each user's characteristics of YR sickness and presence using neural networks (NNs) to minimize YR sickness. The system estimates the optimum condition by comb...ining an NN that leans user's characteristics of VR sickness and an NN that learns user's characteristics of presence. We evaluate the system with 15 subjects and show its effectiveness.show more
Table of Contents	1. まえがき 2. システムの概要 3. 評価実験 4. 結果

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Record ID	4482760
Funding Information	Funder Name 21世紀COEプログラム
Created Date	2021.07.21
Modified Date	2021.08.02