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Exploring Three-Dimensional Scanning and Object Recognition for Room Accessibility in Home Environments.

Yu-Ju Liao¹, Chang Liu¹, Hiroaki Ueshima¹

¹Kyoto University.

Studies in Health Technology and Informatics

|August 8, 2025

Summary

Three-dimensional scanning and object recognition show promise for home accessibility assessments. While good at mapping spaces, technology needs improvement to identify crucial safety features for older adults.

Keywords:

Three-dimensional scanning home accessibility object recognition

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Area of Science:

Gerontology
Computer Science
Human-Computer Interaction

Background:

Home accessibility is crucial for aging in place.
Current home safety assessments can be time-consuming and require expertise.
Technological solutions are needed to facilitate self-assessment.

Purpose of the Study:

To evaluate the effectiveness of 3D scanning and object recognition for home accessibility.
To identify the capabilities and limitations of these technologies in real-world home environments.
To explore the potential for technology-assisted home safety evaluations.

Main Methods:

Utilized 3D scanning technology to capture spatial data in three distinct home environments.
Employed object recognition algorithms to identify features within the scanned spaces.
Assessed the accuracy of spatial layout mapping and safety feature identification.

Main Results:

3D scanning effectively captured general home spatial layouts.
Object recognition demonstrated limitations in identifying critical safety features accurately.
The integrated system showed potential but required further refinement for comprehensive safety analysis.

Conclusions:

3D scanning and object recognition offer a foundation for automated home accessibility assessment.
Technological enhancements are necessary to improve the recognition of specific safety elements.
Further development could enable older adults and caregivers to conduct reliable home self-assessments, enhancing safety.