Furniture layout design aided system using subjective reward

Tomohiro Matsuno; Yuji Hatanaka; Wataru Sunayama; Kazunori Ogohara

doi:10.1117/12.2521524

22 March 2019 Furniture layout design aided system using subjective reward

Tomohiro Matsuno, Yuji Hatanaka, Wataru Sunayama, Kazunori Ogohara

Proceedings Volume 11049, International Workshop on Advanced Image Technology (IWAIT) 2019; 110492X (2019) https://doi.org/10.1117/12.2521524
Event: 2019 Joint International Workshop on Advanced Image Technology (IWAIT) and International Forum on Medical Imaging in Asia (IFMIA), 2019, Singapore, Singapore

Abstract

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.

Citation Download Citation

Tomohiro Matsuno, Yuji Hatanaka, Wataru Sunayama, and Kazunori Ogohara "Furniture layout design aided system using subjective reward", Proc. SPIE 11049, International Workshop on Advanced Image Technology (IWAIT) 2019, 110492X (22 March 2019); https://doi.org/10.1117/12.2521524

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