2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI) 2018
DOI: 10.1109/icacci.2018.8554737
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Environment Descriptor for the Visually Impaired

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Cited by 4 publications
(3 citation statements)
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“…And also by describing their current environment. Understanding the environment boosts the confidence of PVI during outdoor navigation [50], [55], [56].…”
Section: ) Real-time Navigationmentioning
confidence: 99%
“…And also by describing their current environment. Understanding the environment boosts the confidence of PVI during outdoor navigation [50], [55], [56].…”
Section: ) Real-time Navigationmentioning
confidence: 99%
“…Similarly, the factors related to the adoption of mobile learning in higher education such as trust, characters and personal qualities, context, perceived usefulness of using, behavioral intention, and culture are also considered (Hamidi & Chavoshi, 2018). Since visual impairment demands clear policies of accessibility over the factors mentioned, Mishra et al (2018), have suggested an environment descriptor to give natural language descriptions of images. Tsai et al (2019) suggested the indoor special voice navigation to ensure quality and effectiveness for those with and without visual impairments, and earcons are described by McGookin (2020) as abstract tones blended to form aural messages and represent events like someone entering or departing a virtual place.…”
Section: Visual Impairment and Mallmentioning
confidence: 99%
“…There are several research approaches used to help BVIP to interpret their immediate environments, such as scene recognition [ 58 ], multi-object detection [ 42 ], and scene caption [ 43 ]. Scene recognition is about classifying the image into pre-defined classe [ 58 ], while multi-object detection is to detect multiple objects on a single image [ 42 ].…”
Section: Real-time Navigationmentioning
confidence: 99%