Furniture layout design aided system using subjective reward

被引：0

作者：

Matsuno, Tomohiro ^{[1
]}

Hatanaka, Yuji ^{[2
,3
]}

Sunayama, Wataru ^{[2
,3
]}

Ogohara, Kazunori ^{[2
,3
]}

机构：

[1] Univ Shiga Prefecture, Div Elect Syst Engn, Grad Sch Engn, Hassaka Cho 2500, Hikone, Shiga 5228533, Japan

[2] Univ Shiga Prefecture, Dept Elect Syst Engn, Sch Engn, Hassaka Cho 2500, Hikone, Shiga 5228533, Japan

[3] Univ Shiga Prefecture, Reg ICT Res Ctr Human Ind & Future, Hassaka Cho 2500, Hikone, Shiga 5228533, Japan

来源：

INTERNATIONAL WORKSHOP ON ADVANCED IMAGE TECHNOLOGY (IWAIT) 2019 | 2019年 / 11049卷

关键词：

Layout design-aided; optimization; Q-learning; genetic algorithm; subjective reward; virtual reality; GENETIC ALGORITHM; OPTIMIZATION;

D O I：

10.1117/12.2521524

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

Several studies for layout design optimization depend on evaluation indices with necessary passage, spaciousness, etc. It is difficult to obtain a friendly layout by using conventional methods. The layout design-aided model in this study is a residence space, and there are eight types of furniture. All furniture is first allocated to each room by using a genetic algorithm. All allocated furniture's initial arrangements in each room are then determined by using Q-learning. A user checks the initial layout through virtual reality and evaluates it subjectively. The layout for a specific user is flexibly fixed by applying Q-learning, and a user subjective reward is added. As a result of observer experiments, more than half of the furniture can be arranged in an ideal position for a user, and a satisfactory layout is successfully generated.

引用

页数：6