Find My Way

Many individuals struggle with navigation in complex environments like airports, shopping centres, and school campuses. The same problem occurs in hospitals, particularly for elderly patients who are generally less tech-savvy. Through interviews and observations, we found that existing wayfinding methods are often unclear and difficult to use, resulting in visitors frequently asking other people for directions. To address this problem, our project aims to improve the experience of navigating in a hospital setting and reduce the frustration of getting lost through a more intuitive and inclusive "app-less" wayfinding solution.

Our app-less solution provides active, personalised guidance for visitors. Visitors register at a modular registration kiosk, which offers multiple accessible input methods to suit their preferences, including Optical Character Recognition (OCR), a voice-enabled AI chatbot, and NFC. This kiosk is enhanced by holographic avatar to deliver clear, initial instructions with a humanised feel. After selecting their destination, visitors will receive an RFID sticker. This sticker interacts with a network of strategically placed "smart signboards”, which dynamically update with real-time, personalised directions as the visitors move, ensuring stress-free navigation.

Preliminary user testing in a hospital setting has yielded positive results. We have validated that the system’s personalised, step-by-step guidance reduced confusion, built confidence, and was widely accepted across different demographics.

Project Team

Students:

  • Goh Yee Ern (Computer Engineering, Class of 2027)
  • Lee Jia, Claire (Computer Engineering, Class of 2027)
  • Lim Siew Woon, Amanda (Chemical Engineering, Class of 2027)
  • Pearlynn Toh Jieying (Computer Science, Class of 2026)
  • Rex Koh Jun Kai (Computer Engineering, Class of 2027)

Supervisors: