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Design and Implementation of a Wearable Device for the Blind by Using Deep Learning Based Object Recognition

  • Bongjae Kim
  • Hyeontae Seo
  • Jeong-Dong Kim
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 474)

Abstract

Recently, deep learning based object recognition systems are very widely used in various fields, including surveillance systems. The accuracy of object recognition based on deep learning is better than other schemes. In this paper, we propose a wearable device for the blind by using deep learning based object recognition. Based on the implemented prototype and evaluation results, we confirmed the usefulness and effectiveness of the proposed wearable device.

Keywords

Wearable device Deep learning Object recognition 

Notes

Acknowledgments

This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIP; Ministry of Science, ICT & Future Planning) (No. 2017R1C1B5017476) and by Institute for Information &communications Technology Promotion(IITP) grant funded by the Korea government(MSIT)(2017-0-00255, Autonomous digital companion framework and application). The corresponding author is Jeong-Dong Kim.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Division of Computer Science and EngineeringSun Moon UniversityAsan-siSouth Korea

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