Assistance For Visually Impaired Using Finger-Tip Text Reader Using Machine Learning

Author(s):  
S. Kowshik ◽  
V.R Gautam ◽  
K. Suganthi
2021 ◽  
Author(s):  
Nagaraj Nagenthiran ◽  
Paramananthan Priyanha ◽  
Segar Nirosha ◽  
Jeevanaraj Vivek ◽  
Hansi De Silva ◽  
...  

Author(s):  
Kiyohiko Nunokawa ◽  
Manabu Chikai ◽  
Kouki Doi ◽  
Shuichi Ino ◽  
◽  
...  

White canes are widely used as tools to assist visually impaired persons to walk. The white cane is used to acquire environmental information as a clue for walking. It is important to know what information can be acquired by using the cane, how accurate the acquired information is, and how we can improve the information and accuracy. Clarification of these questions would contribute to development of white canes that enable better acquisition of environmental information. It would also assist in the design of buildings with appropriate guidance for visually impaired persons on the basis of information acquired through the canes. In this study, in order to acquire basic knowledge about hardness recognition, experiments were performed using four conditions: 1) Tapping or pushing the object with the index finger tip and white cane tip, 2) use or non-use of the auditory sense to study its usefulness, 3) different ways of grasping the cane, and 4) different number of checks. Nine visually impaired persons who usually walked alone using white canes participated in the experiments. They estimated the hardness of a rubber sheet under various combinations of the operation conditions and hearing conditions. Results showed that the number of checks had little effect on the user’s estimation of the hardness of the sheet. For the recognition of the contact target hardness using the white cane, it was effective to simultaneously use information from different modalities, namely tactile and auditory information. We also observed that, when pushing the cane with the index fingers, the users could feel the objects as if they had directly touched them with the fingers.


2021 ◽  
Author(s):  
Wenhua Liang ◽  
Ishmael Rico ◽  
Yu Sun

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.


Author(s):  
Javavrinda Vrindavanam ◽  
Raghunandan Srinath ◽  
Anisa Fathima ◽  
S. Arpitha ◽  
Chaitanya S Rao ◽  
...  

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