Koya Nagamine

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This paper proposes a methodology for developing large scale accessibility map with personal sensing by using smart phone and machine learning technologies. The strength of the proposed method is its low cost data collection, which is a key to break through stagnations of accessibility map that currently applied to limited areas. This paper developed and(More)
This paper introduces an automatic road accessibility information collecting system inspired by human action sensing technologies of wheelchair users. The system aims to estimate a road accessibility caused by environmental factors, e.g. curbs and gaps, which directly influence wheelchair bodies, and also physiological factors, e.g. the wheelchair user's(More)
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