HSV Conversion Based Tactile Paving Detection for Developing Walking Support System to Visually Handicapped People

Ito Yuki, Chinthaka Premachandra, Sagara Sumathipala, B. H. Sudantha

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

In this research, we present a system that can support visually handicapped people to walk alone safely on tactile paving. The system can warn the user in the case of danger by mistaking the walking path and meeting with obstacle against walking direction. Here, system conduct warning by detecting the tactile paving and obstacles on it. Thus, potential accidents involving visually handicapped people can be prevented. The system guides the user by interpreting the information obtained from the automatic detection of the tactile paving. In this paper, the automatic tactile paving is mainly discussed, by processing images from on-user camera which exists in the main system. We propose a new HSV conversion-based image processing approach to detect tactile paving. Ultimately, the results of the experiments confirm the achievement of high tactile paving detection rates.

Original languageEnglish
Title of host publication2019 IEEE 23rd International Symposium on Consumer Technologies, ISCT 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages138-142
Number of pages5
ISBN (Electronic)9781728135700
DOIs
Publication statusPublished - 2019 Jun
Event23rd IEEE International Symposium on Consumer Technologies, ISCT 2019 - Ancona, Italy
Duration: 2019 Jun 192019 Jun 21

Publication series

Name2019 IEEE 23rd International Symposium on Consumer Technologies, ISCT 2019

Conference

Conference23rd IEEE International Symposium on Consumer Technologies, ISCT 2019
Country/TerritoryItaly
CityAncona
Period19/6/1919/6/21

Keywords

  • color detection
  • computer vision
  • healthcare systems
  • human support
  • image processing

ASJC Scopus subject areas

  • Instrumentation
  • Biomedical Engineering
  • Electrical and Electronic Engineering
  • Media Technology

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