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An Intelligent System to Enhance Visually-Impaired Navigation and Disaster Assistance using Geo-Based Positioning and Machine Learning

Authors

Wenhua Liang1, Ishmael Rico2 and Yu Sun3, 1St.Margaret’s Episcopal School, USA, 2University of California, USA, 3California State Polytechnic University, USA

Abstract

Technological advancement has brought many the convenience that the society used to lack, but unnoticed by many, a population neglected through the age of technology has been the visually impaired population. The visually impaired population has grown through ages with as much desire as everyone else to adventure but lack the confidence and support to do so. Time has transported society to a new phase condensed in big data, but to the visually impaired population, this quick-pace living lifestyle, along with the unpredictable natural disaster and COVID-19 pandemic, has dropped them deeper into a feeling of disconnection from the society. Our application uses the global positioning system to support the visually impaired in independent navigation, alerts them in face of natural disasters, and reminds them to sanitize their devices during the COVID-19 pandemic.

Keywords

Geo-based navigation assistance, machine learning, mobile computing.

Full Text  Volume 11, Number 9