Design and Implementation of a Wearable Intelligent Tourism Guide System

Abstract

The substantial growth of the global tourism industry has increased the demand for advanced and personalized travel services. In response, the “Changyou” intelligent tour guide device was developed, integrating technologies such as the Global Navigation Satellite System (GNSS), speech and image recognition, and real-time internet connectivity. This study explores the device’s design and evaluates the performance of “Changyou” in various scenarios, focusing on speech recognition accuracy, image identification efficiency, system response time, and navigation precision. The findings indicate that the device performs effectively under controlled conditions; however, its performance is affected by factors such as background noise and low lighting. The study also analyzes the system’s stability and scalability. The results suggest that “Changyou” has the potential to evolve into a comprehensive smart tourism service product; however, further research is needed to improve its adaptability and expand its functionality.