Method of Artificial Vision in Guide Cane for Visually Impaired People
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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2023 IEEE 32nd International Symposium on Industrial Electronics, ISIE 2023 : Proceedings. Piscataway: Institute of Electrical and Electronics Engineers Inc., 2023. (IEEE International Symposium on Industrial Electronics; Vol. 2023-June).
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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TY - CHAP
T1 - Method of Artificial Vision in Guide Cane for Visually Impaired People
AU - Medina-Madrazo, Leonardo D.
AU - Rodríguez-Quiñonez, Julio C.
AU - Real-Moreno, Oscar
AU - Ortiz-Villaseñor, Dayanna
AU - Flores-Fuentes, Wendy
AU - Sergiyenko, Oleg
AU - Castro-Toscano, Moises J.
AU - Mercorelli, Paolo
N1 - Publisher Copyright: © 2023 IEEE.
PY - 2023/6/19
Y1 - 2023/6/19
N2 - Artificial vision methods have been developed to solve different problems or limitations that people with visual disabilities present through applications designed to have greater autonomy. These systems are characterized by giving different kinds of feedback to the user, integrating the system with sensors or cameras that help to know the proximity or existence of an obstacle that obstructs their path. This paper presents an artificial vision method through triangulation with a camera that observes a laser beam reflection in the ground to calculate the surface's height or depth and to offer a haptic response that changes in frequency and amplitude depending on the surface type. In the implementation of the experiment, it has been verified that the system's response is close to the measurement with other measuring devices, warning about irregularity on the surfaces.
AB - Artificial vision methods have been developed to solve different problems or limitations that people with visual disabilities present through applications designed to have greater autonomy. These systems are characterized by giving different kinds of feedback to the user, integrating the system with sensors or cameras that help to know the proximity or existence of an obstacle that obstructs their path. This paper presents an artificial vision method through triangulation with a camera that observes a laser beam reflection in the ground to calculate the surface's height or depth and to offer a haptic response that changes in frequency and amplitude depending on the surface type. In the implementation of the experiment, it has been verified that the system's response is close to the measurement with other measuring devices, warning about irregularity on the surfaces.
KW - Artificial vision
KW - Camera
KW - Laser profilometry
KW - Triangulation
KW - Visually impairment
KW - Engineering
UR - http://www.scopus.com/inward/record.url?scp=85172162750&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/52717ca6-9ce6-3cf0-aa68-470c1c42018f/
U2 - 10.1109/ISIE51358.2023.10228047
DO - 10.1109/ISIE51358.2023.10228047
M3 - Article in conference proceedings
AN - SCOPUS:85172162750
SN - 979-8-3503-9972-1
T3 - IEEE International Symposium on Industrial Electronics
BT - 2023 IEEE 32nd International Symposium on Industrial Electronics, ISIE 2023
PB - Institute of Electrical and Electronics Engineers Inc.
CY - Piscataway
T2 - 32nd IEEE International Symposium on Industrial Electronics, ISIE 2023
Y2 - 19 June 2023 through 21 June 2023
ER -