Smart home R&D system based on virtual reality

C Zhou, T Huang, S Liang - Journal of Intelligent & Fuzzy …, 2021 - content.iospress.com
C Zhou, T Huang, S Liang
Journal of Intelligent & Fuzzy Systems, 2021content.iospress.com
Smart home products and equipment are relatively expensive while using specific physical
objects to prove functional characteristics, the cost is high, and it is difficult to meet the
personal needs of customers. Based on the above background, the purpose of this research
is the application and design of a smart home R&D system based on virtual reality. This
study proposes the concept of introducing virtual reality methods into the control scene given
the shortcomings of the existing smart home control interface interaction methods. From the …
Abstract
Smart home products and equipment are relatively expensive while using specific physical objects to prove functional characteristics, the cost is high, and it is difficult to meet the personal needs of customers. Based on the above background, the purpose of this research is the application and design of a smart home R&D system based on virtual reality. This study proposes the concept of introducing virtual reality methods into the control scene given the shortcomings of the existing smart home control interface interaction methods. From the perspective of being more suitable for the user’s needs, the virtual reality method is used to optimize the smart home interaction methods. Through the analysis of the user’s lifestyle and needs, the functional module model of applying virtual reality to the smart home control scheme is established. Then, by collecting data, use Sketchup software to build and optimize the model of the simulation system to build a realistic family scene model. Finally, through the integrated use of the Unity 3D rendering engine and the virtual simulation system technology, the intelligent simulation of the interior functions of the house is realized. Experimental results show that using virtual reality to optimize the interaction of smart homes, the control method is relatively simple, and the cost can be reduced by about 20%.
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