Suitable Camera and Rotation Navigation for People with Visual Impairment on Looking for Something Using Object Detection Technique
Autor: | Koichi Kise, Yoshihiko Inoue, Kazunori Minatani, Masakazu Iwamura |
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Rok vydání: | 2020 |
Předmět: |
Point (typography)
Computer science 05 social sciences Visual impairment 020207 software engineering 02 engineering and technology Object (computer science) Object detection Task (project management) Omnidirectional camera Human–computer interaction Smartphone app 0202 electrical engineering electronic engineering information engineering medicine 0501 psychology and cognitive sciences medicine.symptom Rotation (mathematics) 050107 human factors |
Zdroj: | Lecture Notes in Computer Science ISBN: 9783030587956 ICCHP (1) |
DOI: | 10.1007/978-3-030-58796-3_57 |
Popis: | For people with visual impairment, smartphone apps that use computer vision techniques to provide visual information have played important roles in supporting their daily lives. However, they can be used under a specific condition only. That is, only when the user knowswhere the object of interest is. In this paper, we first point out the fact mentioned above by categorizing the tasks that obtain visual information using computer vision techniques. Then, inlooking for somethingas a representative task in a category, we argue suitable camera systems and rotation navigation methods. In the latter, we propose novel voice navigation methods. As a result of a user study comprised of seven people with visual impairment, we found that (1) a camera with a wide field of view such as an omnidirectional camera was preferred, and (2) users have different preferences in navigation methods. |
Databáze: | OpenAIRE |
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