Presentation 2008/7/20
Guidance information method of a position guidance system for the visually impaired
Takashi KONISHI, Yoshinobu MAEDA, Eiichi TANO, Hideo MAKINO,
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Abstract(in English) We proposed a new guidance scheme of the GPS-GIS-based speech guidance system using the adaptive fuzzy inference neural network (AFINN). Geographic Information System (GIS) calculates some attributes of user-to-landmark relations, so-called, landmark celebrity, landmark facade, landmark area, representative point of latitude and longitude (the center of gravity) of the landmark, user's latitude and longitude from GPS, and user's direction. These attributes were transformed to six basic elements, such as the celebrity, the facade relative bearing, the Euclidean distance between the landmark and user, the area size, the direction relative bearing and the user's individual data, respectively. The AFINN, that has the above six elements as the input data, calculates a level of importance (LOI) corresponding to a "cognitive distance". We considered that acceptable guidance was achieved by using the LOI. We applied the analytic hierarchy process (AHP) to the leaning data of the AFINN. Therefore, the guidance system reflected user's preference, and obtained the guidance suitable for diverse users. Numerical simulations suggested that the AFINN should be available for determining the guidance satisfying each user. Finally, the visually impaired pedestrians evaluated the guidance system from the user's viewpoints.
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Keyword(in English) Geographic Information System / Landmark / Adaptive Fuzzy Inference Neural Network
Paper # WIT2008-24
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Committee WIT
Conference Date 2008/7/20(1days)
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Registration To Well-being Information Technology(WIT)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Guidance information method of a position guidance system for the visually impaired
Sub Title (in English)
Keyword(1) Geographic Information System
Keyword(2) Landmark
Keyword(3) Adaptive Fuzzy Inference Neural Network
1st Author's Name Takashi KONISHI
1st Author's Affiliation Niigata University()
2nd Author's Name Yoshinobu MAEDA
2nd Author's Affiliation Niigata University
3rd Author's Name Eiichi TANO
3rd Author's Affiliation Kanto Polytechnic College
4th Author's Name Hideo MAKINO
4th Author's Affiliation Niigata University
Date 2008/7/20
Paper # WIT2008-24
Volume (vol) vol.108
Number (no) 170
Page pp.pp.-
#Pages 6
Date of Issue