Age-Friendly Signage and Wayfinding Systems

https://youtu.be/poAtErjplHU

Abstract:

As the population ages, creating age-friendly communities is crucial. However, renovating existing communities for the elderly presents challenges. The Signage and Wayfinding System (SWS) is essential for elderly navigation and recognizing destinations in public spaces. This study proposes a CNN-based intelligent design for an age-friendly SWS, focusing on precise positioning and color matching from the elderly's perspective. An empirical study was conducted in the southern region of Xian University of Architecture and Technology to develop an efficient and accurate intelligent guide system for the elderly, aiming to support community renewal.

This study fills the gap in CNN research on recognizing external spatial features. It trains two CNNs for positioning and color matching using the teachable machine platform. To determine positioning, the study introduces the concept of "point overlap" to help the CNN understand spatial confusion. The elderly-friendly SWS positioning in the southern region of XAUAT was determined based on the principle of setting up guide systems where space is disordered. The colors used were chosen based on the ratio of "red," "green," "yellow," and "blue" in the space photographs, making it easier for the elderly to identify them.

The research verifies the effectiveness of the CNN-based intelligent design for age-friendly SWS through the empirical study, providing a useful reference for age-friendly community renewal and renovation.