BIM and individual physical needs-trained model-enabled approach to spatial redesign and visualization

Abstract

This paper presents a new spatial visualization technique to redesign indoor spaces that reflect individual physical requirements. Designing safe and convenient environments necessitates differentiated facility installations based on factors such as age, gender, and disability status, emphasizing the need for customized spatial configurations. The study specifically focuses on elderly users, visualizing appropriate safety equipment placement to address physical aging challenges and proposing tailored space redesigns. High-Level of detail (LoD) Building Information Modeling (BIM) components were developed for the training model and utilized in the data processing workflow. The training data consists of images paired with explanatory text, and additional training was completed by optimizing the training hyperparameters. The resulting trained model generates high-quality images that accurately reflect the provided contextual prompts. Furthermore, this study showcases a practical application through the development of a user-friendly mobile web/application interface. This tool allows non-professional users to capture images using their smartphones and visualize potential redesign alternatives tailored to their specific physical requirements. By bridging the gap between spatial visualization techniques and users, this study contributes to making more inclusive and adaptable indoor environments for diverse users, particularly the elderly.

Keywords

• design visualization
• user-friendly interior design
• interior space redesign
• building information modeling (bim)
• image-generation ai model