Abstract
People with visual impairments often face difficulties in perceiving their surroundings, which can
increase risks during walking. Although recent systems utilizing sensors and image recognition provide
auditory guidance, it remains challenging to deliver instructions that are intuitive, timely, and adaptable to each
user.
To address this issue, this study proposes a fuzzy control–based walking support system that generates voice
instructions by integrating uncertain environmental information along with individual walking characteristics,
such as walking speed. By considering personal differences and dynamically changing surroundings, the
system aims to produce more natural and context-appropriate guidance. As a result, it is expected to improve
clarity, safety, and user confidence during walking．
