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- W2019019739 abstract "We demonstrate a novel assistive device which can help the visually impaired or blind people to gain more safe mobility, which is called as EYECane. The EYECane is the white-cane with embedding a camera and a computer. It automatically detects obstacles and recommends some avoidable paths to the user through acoustic interface. For this, it is performed by three steps: Firstly, it extracts obstacles from image streaming using online background estimation, thereafter generates the occupancy grid map, which is given to neural network. Finally, the system notifies a user of an paths recommended by machine learning. To assess the effectiveness of the proposed EYECane, it was tested with 5 users and the results show that it can support more safe navigation, and diminish the practice and efforts to be adept in using the white cane." @default.
- W2019019739 created "2016-06-24" @default.
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- W2019019739 date "2009-10-25" @default.
- W2019019739 modified "2023-10-16" @default.
- W2019019739 title "EYECane" @default.
- W2019019739 cites W1997346949 @default.
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- W2019019739 doi "https://doi.org/10.1145/1639642.1639693" @default.
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