Smart real time wearable navigation support system for BVIP

Abstract

In this paper, we develop a smart navigation aid system for blind and visually impaired people (BVIP). The proposed design revolves around a decision support system based on fuzzy logic, a Raspberry Pi4 board for real-time processing, a set of high-performance sensors, and a haptic voice interface to guide the user. The control architecture is based on the Robot Operating System (ROS) which takes care of connecting all the different nodes of the system and generates the decision in the form of a voice haptic message. A security assessment system is implemented using sensor data fusion and a fuzzy classifier to determine the human security path. Experimental tests carried out by BVIP in different environments have shown the effectiveness of the developed solution.

Keywords

• Navigation aid
• Blind and visually impaired people
• Obstacles detection, sensors data fusion
• Fuzzy classifier
• Assistive technology
• Wearable devices