Artificial Vision System for Physical Activity Practice for People with Visual Impairment

Visual impairment is a congenital or developed condition, sometimes it tends to affect from childhood to old age, it can be permanent or treated with a previous diagnosis, sometimes it is corrected with special lenses, and in other cases, expensive surgeries are required. Studies have shown a decrease in physical activity, an increase in sedentary lifestyles, and the probability of developing diseases such as obesity and overweight as a result. The World Health Organization recommends physical activity to maintain good health for people with this condition. This work presents the development of a system for correcting the orientation of visually impaired people while practicing walking as a physical activity, using image processing and implementing computer vision. The system provides feedback to the user with vibrations and sounds to correct its trajectory, using existing technologies and algorithms such as the Hough Transform. To prove its performance, the system was tested on people in simulated blindness conditions on athletic tracks. The subjects walked 100 meters in a straight line using the device. The results show that the device can keep the user walking in a straight line and correct directional changes to avoid leaving the lanes of an athletic track.

Authors

Institutions

Publication Details

Published
2024-10-23
DOI
https://doi.org/10.1109/cce62852.2024.10771017
Primary Topic
Tactile and Sensory Interactions
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Artificial Vision System for Physical Activity Practice for People with Visual Impairment

Daniel Lorias Espinoza, R. Cortina, J. Cortés, Arturo Minor Martínez et al.
Tactile and Sensory Interactions
article

Artificial Vision System for Physical Activity Practice for People with Visual Impairment

Daniel Lorias Espinoza, R. Cortina, J. Cortés, Arturo Minor Martínez, Abraham Hernández Jimánez, Fernando Perez Escamiroza
article en

Abstract

Visual impairment is a congenital or developed condition, sometimes it tends to affect from childhood to old age, it can be permanent or treated with a previous diagnosis, sometimes it is corrected with special lenses, and in other cases, expensive surgeries are required. Studies have shown a decrease in physical activity, an increase in sedentary lifestyles, and the probability of developing diseases such as obesity and overweight as a result. The World Health Organization recommends physical activity to maintain good health for people with this condition. This work presents the development of a system for correcting the orientation of visually impaired people while practicing walking as a physical activity, using image processing and implementing computer vision. The system provides feedback to the user with vibrations and sounds to correct its trajectory, using existing technologies and algorithms such as the Hough Transform. To prove its performance, the system was tested on people in simulated blindness conditions on athletic tracks. The subjects walked 100 meters in a straight line using the device. The results show that the device can keep the user walking in a straight line and correct directional changes to avoid leaving the lanes of an athletic track.

Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (MX)
Consejo Nacional de Ciencia y Tecnología
Reduced inequalities
Openalex Percentile: Top 73%
Tactile and Sensory Interactions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.