A Novel Model-Driven Approach for Visual Impaired People Assistance OPTIC ALLY
Author:
Affiliation:
1. University of Sialkot,Faculty of Computing and IT,Department of Software. Engineering,Sialkot,Pakistan
2. GULF University for Science and Technology,Department of Computer Sciences,Mubarak Al-Abdullah,Kuwait
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9969178/9969179/09969400.pdf?arnumber=9969400
Reference20 articles.
1. Enhancing perception for the visually impaired with deep learning techniques and low-cost wearable sensors
2. Virtual Navigation Environment for Blind and Low Vision People;k;Computers Helping People with Special Needs,2018
3. An Electromagnetic Sensor Prototype to Assist Visually Impaired and Blind People in Autonomous Walking
4. X-EYE: A Bio-smart Secure Navigation Framework for Visually Impaired People
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1. ARAware: Assisting Visually Impaired People with Real-Time Critical Moving Object Identification;Sensors;2024-07-01
2. Exploring Sleep Paralysis Phenomenon Through Machine Learning: An Analytical Study;2024 International Conference on Engineering & Computing Technologies (ICECT);2024-05-23
3. Intelligent environments and assistive technologies for assisting visually impaired people: a systematic literature review;Universal Access in the Information Society;2024-05-03
4. Exploring the Effectiveness and Trends of Domain-Specific Model Driven Engineering: A Systematic Literature Review (SLR);IEEE Access;2024
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