Automatic recognition of accessible pedestrian signals

Sebastián Ruiz-Blais, Arturo Camacho-Lozano, Juan Fonseca-Solís
  • January 2017, Acoustical Society of America (ASA)
  • DOI: 10.1121/2.0000675

Automatic recognition of accessible pedestrian signals

What is it about?

Accessible pedestrian signals (APS) enhance accessibility in streets around the world. We have shown for the first time that APS can be detected using sound. This was an unexplored technique, as video was the preferred method of analysis. We have used 79 recordings (of approximately 10 seconds each one) gathered from streets in San José, Costa Rica, to demonstrate the effectiveness of the method. This algorithm was migrated to an experimental mobile solution (https://www.youtube.com/watch?v=yP_J9oXersk).

Why is it important?

The developed method to detect APS by sound can be used as a complement to the current video solutions, increasing the safety of the people with visual and audible impairments.

Perspectives

Juan Fonseca (Author)

Writing this article was a great pleasure as it has co-authors with whom I have had long standing collaborations. This article also allows to increase the visibility of the work done by the University of Costa Rica.

The following have contributed to this page: Juan Fonseca

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