TY - GEN
T1 - HSV Conversion Based Tactile Paving Detection for Developing Walking Support System to Visually Handicapped People
AU - Yuki, Ito
AU - Premachandra, Chinthaka
AU - Sumathipala, Sagara
AU - Sudantha, B. H.
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/6
Y1 - 2019/6
N2 - 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.
AB - 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.
KW - color detection
KW - computer vision
KW - healthcare systems
KW - human support
KW - image processing
UR - http://www.scopus.com/inward/record.url?scp=85075640295&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85075640295&partnerID=8YFLogxK
U2 - 10.1109/ISCE.2019.8901036
DO - 10.1109/ISCE.2019.8901036
M3 - Conference contribution
AN - SCOPUS:85075640295
T3 - 2019 IEEE 23rd International Symposium on Consumer Technologies, ISCT 2019
SP - 138
EP - 142
BT - 2019 IEEE 23rd International Symposium on Consumer Technologies, ISCT 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 23rd IEEE International Symposium on Consumer Technologies, ISCT 2019
Y2 - 19 June 2019 through 21 June 2019
ER -