Cognitive load detection of vision impaired in the inward places using Bio-signal

Abstract

In this current world, approximately 290 millions of people are partially or fully blind. They can not roam around like the normal people. Visually Impaired People (VIP) have to face many obstacles everyday in inward and outward places. Moreover, it is pretty difficult for them to move for their daily works. They face difficulties when they try to move one place to another. Mobility in different environments in inward can be challenging and emotionally stressful tasks for VIPs when they are navigating in an unfamiliar environment. There are some navigation tools such as guide dog white cane but these aids are failed to uprootd key problems such as including route planning, discovering landmarks. It is matter of great sorrow that still in this era of technology we could not help them with a proper solution that includes all the key problem. These circumstances can be both psychological and social. Electroencephalogram (EEG) is a tool that records electrical activities over the scalp. This is a very useful technique which is used widely all over the world. In this paper, we will measure cognitive load through EEG signals for observing the usability test of navigating tools for determine whether these navigating tools are helpful or not . A classification accuracy of 77.35% for automated door,82.78%of accuracy for narrow space, 84.91% of accuracy for open space, 88.99% of accuracy for elevator, 79.19% of accuracy for stairs, 83.47% of accuracy for moving objects and 86.89% of accuracy for sound, which was achieved by this proposed model. In this paper observing usability test of navigating aids so that VIPs can feel confidence and comfortable when using any navigating tools for roaming around