FT-BlinGui: A Fuzzy-Based Wearable Device System to Avoid Visually Impaired Collision in Real Time

Abstract

There are several technological applications and computational techniques for detection and prevention of obstacles that aim at assisting the locomotion of robots, autonomous vehicles, people with visual impairments, unmanned aerial vehicles, detection of anomalies in runways, among others. However, the imprecision and uncertainty in the perception of obstacles in real time are not detected in advance to avoid them. This is due to the dynamism of the environment, where obstacles can present different behavioral scenarios and are constantly changing. To provide a more efficient perception of obstacles in dynamic scenarios, the fuzzy systems embedded in technological applications have been presented as an efficient approach for the detection and prevention of obstacles more effectively and intuitively. In this paper, therefore, we will investigate the applicability of the fuzzy time series for the forecasting collision with obstacles. The time series analyzed was obtained through a wearable device that detects, in real time, obstacles for the visually impaired. Simulation results demonstrate that FT-BlinGui can provide a collision-avoidance alerting system for wearable devices as a result of Fuzzy Time Series forecasting.