Anzeige
Erschienen in:
2018 | OriginalPaper | Buchkapitel
Identification of Visually Impaired Person with Deep Learning
verfasst von : Shoichiro Fujisawa, Ranmaru Mandai, Ryota Kurozumi, Shin-ichi Ito, Katsuya Sato
Erschienen in: Intelligent Human Systems Integration
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Abstract
The purpose of this study is to identify visually impaired persons by analyzing still pictures of walking of a visually impaired person and that of a healthy person using deep learning. Still images of walking are taking still pictures from video images. Shoot from sideways and diagonally with two video cameras. The number of images (with 1000 or 2000) and the dropout (three, two, or one time) was changed and analyzed. Because the study focused on only visually impaired persons (totally blind persons) and the healthy person’s study machines of two patterns in the experiment, a correct answer rate of 99.9% for every 2000 images and 2 times of the dropout number was obtained.