Obstacle classification through acoustic echolocation

A visually impaired person comes across objects with different attributes in his navigational path, and all of those objects can't be considered as obstacles. One person's obstacle could become a landmark for another. Therefore, getting some insights about the features of the obstacles tha...

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Bibliographic Details
Published in2015 International Conference on Estimation, Detection and Information Fusion (ICEDIF) pp. 1 - 7
Main Authors Sampath, D. Y. K., Wimalarathne, G. D. S. P.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.01.2015
Subjects
Acoustics
Arrays
classification
Navigation
obstacle identification
Receivers
Sensors
smart textile
Sonar
sonar sensors
Textiles
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Summary:A visually impaired person comes across objects with different attributes in his navigational path, and all of those objects can't be considered as obstacles. One person's obstacle could become a landmark for another. Therefore, getting some insights about the features of the obstacles that come across will provide a significant impact on improving the navigational process of the visually impaired individuals. In this study, a wearable obstacle classification system which extends the currently available obstacle detection approaches using sonar echolocation has been developed. In order to increase the detection range and to improve user-friendliness, an innovative approach based on integration of electronics onto textile environment has been studied. Optimum architecture to embed electronic equipment's and sensors to the textile has been realized. Finally, a smart garment prototype including ultrasonic sensors, coin vibration motors, power supplies and a micro controller has been developed.
DOI:10.1109/ICEDIF.2015.7280147