Design and development of an indoor navigation system using denoising autoencoder based convolutional neural network for visually impaired people

Author(s):  
J. Akilandeswari ◽  
G. Jothi ◽  
A. Naveenkumar ◽  
R. S. Sabeenian ◽  
P. Iyyanar ◽  
...  
2016 ◽  
Vol 12 (7) ◽  
pp. 6152342 ◽  
Author(s):  
Ahmad Alnafessah ◽  
Mai Al-Ammar ◽  
Suheer Al-Hadhrami ◽  
Abdulmalik Al-Salman ◽  
Hend Al-Khalifa

2018 ◽  
Vol 7 (3.27) ◽  
pp. 77 ◽  
Author(s):  
S Subhash Reddy ◽  
Y Bhaskar Rao

We propose an indoor navigation system that utilizes visible light communication technology, which employs LED lights and a geomagnetic correction method, aimed at supporting visually impaired people who travel indoors. To verify the effectiveness of this system, we conducted an experiment targeting visually impaired people. Although acquiring accurate positional information and detecting directions indoors is difficult, we confirmed that using this system, accurate positional information and travel direction can be obtained utilizing visible light communication technology, which employs LED lights, and correcting the values of the geomagnetic sensor integrated in a Smartphone.                                                                                                                                         


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