Vision navigator: a smart and intelligent obstacle recognition model for visually impaired users

S Suman, S Mishra, KS Sahoo… - Mobile Information …, 2022 - Wiley Online Library
Vision impairment is a major challenge faced by humanity on a large scale throughout the
world. Affected people find independently navigating and detecting obstacles extremely …

Object detection and recognition: using deep learning to assist the visually impaired

A Bhandari, PWC Prasad, A Alsadoon… - Disability and …, 2021 - Taylor & Francis
Background Deep learning systems have improved performance of devices through more
accurate object detection in a significant number of areas, for medical aid in general, and …

A Review on Tongue Based Assistive Technology, Devices and FPGA Processors Using Machine Learning Module

DL Prasanna, SL Tripathi - Wireless Personal Communications, 2024 - Springer
Tongue-drive system (TDS) is an advanced assistive technology (AT) that enables people
with severe disabilities to independently control the electronic devices and machines using …

Traveling more independently: a study on the diverse needs and challenges of people with visual or mobility impairments in unfamiliar indoor environments

K Müller, C Engel, C Loitsch, R Stiefelhagen… - ACM Transactions on …, 2022 - dl.acm.org
It is much more difficult for people with visual or mobility impairments to prepare for a trip or
visit unfamiliar places than it is for people without disabilities. In addition to the usual travel …

Recovering the sight to blind people in indoor environments with smart technologies

ML Mekhalfi, F Melgani, A Zeggada… - Expert systems with …, 2016 - Elsevier
Assistive technologies for blind people are showing a fast growth, providing useful tools to
support daily activities and to improve social inclusion. Most of these technologies are …

Multi-step ahead forecasting of daily global and direct solar radiation: a review and case study of Ghardaia region

M Guermoui, F Melgani, C Danilo - Journal of Cleaner Production, 2018 - Elsevier
Accurate estimation of solar radiation components of a specific location has been one of the
most important issues of solar energy applications. In this paper, a new approach, named …

Travelling more independently: a requirements analysis for accessible journeys to unknown buildings for people with visual impairments

C Engel, K Müller, A Constantinescu, C Loitsch… - Proceedings of the …, 2020 - dl.acm.org
It is much more difficult for people with visual impairments to plan and implement a journey
to unknown places than for sighted people, because in addition to the usual travel …

Land-use classification with compressive sensing multifeature fusion

ML Mekhalfi, F Melgani, Y Bazi… - IEEE Geoscience and …, 2015 - ieeexplore.ieee.org
In this letter, we formulate a land-use (LU) classification problem within a compressive
sensing (CS) fusion framework. CS aims at providing a compact representation form after a …

[PDF][PDF] Object detection using machine learning for visually impaired people

VN Mandhala, D Bhattacharyya, B Vamsi… - International Journal of …, 2020 - academia.edu
In this challenging evolution, the primary task in detecting the objects requires a computer
vision that deals over indoor and outdoor classes. Over the past decades, this zeal requires …

Visual localizer: Outdoor localization based on convnet descriptor and global optimization for visually impaired pedestrians

S Lin, R Cheng, K Wang, K Yang - Sensors, 2018 - mdpi.com
Localization systems play an important role in assisted navigation. Precise localization
renders visually impaired people aware of ambient environments and prevents them from …