Open AccessAn Intelligent System to Enhance Visually-Impaired Navigation and Disaster Assistance using Geo-Based Positioning and Machine Learning
Author(s) -
Wenhua Liang,
Ishmael Rico,
Yu Sun
Publication year - 2021
Publication title -
computer science and information technology ( cs and it )
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5121/csit.2021.110907
Subject(s) - visually impaired , pandemic , pace , population , disconnection , feeling , computer science , adventure , internet privacy , covid-19 , natural disaster , computer security , human–computer interaction , psychology , artificial intelligence , geography , medicine , political science , social psychology , disease , geodesy , environmental health , pathology , infectious disease (medical specialty) , law , meteorology
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 supportthe visually impaired in independent navigation, alerts them in face of natural disasters, and remindsthem to sanitize their devices during the COVID-19 pandemic.