TY - GEN
T1 - Design of a Wearable Assistive System for Visually Impaired People
AU - He-Astudillo, Yigay
AU - Reyes-Rogget, Marcelo
AU - López, Felipe A.
AU - López-Martínez, Ignacio N.
AU - Linfati, Rodrigo
AU - Morillo, Daniel
AU - Gatica, Gustavo
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - At least 2.2 billion people are visually impaired, with the main problem being a lack of autonomy and safety when moving around the city. To solve those needs, a wearable assistive system for vision impairment people, with low cost and open-source applications, integrating machine learning and deep learning was developed. We used a mixed methodology, including semi-structured interviews with visually impaired people and specialists in visually impaired needs, including them both in the design process. This allowed us to have an understatement of the specific needs and to generate improvements in the design. The results are auspicious for the feasibility of this type of development, the main considerations and lessons learned are noted, leaving some opportunities for future research.
AB - At least 2.2 billion people are visually impaired, with the main problem being a lack of autonomy and safety when moving around the city. To solve those needs, a wearable assistive system for vision impairment people, with low cost and open-source applications, integrating machine learning and deep learning was developed. We used a mixed methodology, including semi-structured interviews with visually impaired people and specialists in visually impaired needs, including them both in the design process. This allowed us to have an understatement of the specific needs and to generate improvements in the design. The results are auspicious for the feasibility of this type of development, the main considerations and lessons learned are noted, leaving some opportunities for future research.
KW - Face recognition
KW - Identifying objects
KW - Machine learning
KW - Obstacle detection
KW - Ultrasonic sensor
KW - Visual impairment
UR - http://www.scopus.com/inward/record.url?scp=85135070310&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-10539-5_9
DO - 10.1007/978-3-031-10539-5_9
M3 - Conference contribution
AN - SCOPUS:85135070310
SN - 9783031105388
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 123
EP - 135
BT - Computer Information Systems and Industrial Management - 21st International Conference, CISIM 2022, Proceedings
A2 - Saeed, Khalid
A2 - Dvorský, Jiří
PB - Springer Science and Business Media Deutschland GmbH
T2 - 21st International Conference on Computer Information Systems and Industrial Management Applications, CISIM 2022
Y2 - 15 July 2022 through 17 July 2022
ER -