Design and Evaluation of a Fuzzy Inference System for Audio Navigation for the Visually Impaired

Abstract

People with visual impairments often have difficulty perceiving their surroundings, which increases the risk during walking. In recent years, systems that provide voice guidance using sensors and image recognition have been developed. However, delivering intuitive, timely, and flexible instructions remains a challenge. This study proposes a walking support system based on fuzzy control, which integrates ambiguous and multivariate information to generate context-appropriate voice instructions. Fuzzy control is expected to enhance the clarity and naturalness of the instructions, as well as the user’s sense of safety.