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Support System Using Microsoft Kinect and Mobile Phone for Daily Activity of Visually Impaired

  • Mohammad M. Rahman
  • Bruce Poon
  • Md. Ashraful Amin
  • Hong Yan
Chapter

Abstract

The aim of this paper is to outline a system based on Microsoft Kinect and mobile devices that will provide assistant to visually impaired people. Our primary goal is to provide navigation aid that will help visually impaired to navigate. This includes detection and identification of face, texts and chairs. This is implemented using Microsoft Kinect and machine learning methods are used for this process as it requires rough identification of object. For data acquisition and processing, OpenCV, OpenKinect, Tesseract and Espeak are used. Features that have been incorporated for building this aiding tool are object detection and recognition, face detection and recognition, object location determination, optical character recognition and audio feedback. The face recognition system showed an accuracy of 90 %, the text recognition yielded an accuracy of 65 % and the chairs are recognized with more than 74 % accuracy. To identify denominations of bank notes, more accurate recognition is required. Mobile phone is used to identify bank note denomination. The proposed system can recognize Bangladeshi paper currency notes with 89.4 % accuracy on plain paper background and with 78.4 % accuracy tested on a complex background.

Keywords

3D camera Human computer interaction (HCI) Kinect Mobile computing Navigational aid ORB SIFT SURF Visual impairment 

Notes

Acknowledgment

This work is jointly supported by Independent University, Bangladesh and University Grants Commission of Bangladesh under Higher Education Quality Enhancement Project (HEQEP) Number: CP-3359.

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Copyright information

© Springer Science+Business Media Dordrecht 2015

Authors and Affiliations

  • Mohammad M. Rahman
    • 1
  • Bruce Poon
    • 2
  • Md. Ashraful Amin
    • 1
  • Hong Yan
    • 3
  1. 1.Computer Vision and Cybernetics Group, Computer Science and EngineeringIndependent University, BangladeshDhakaBangladesh
  2. 2.School of Electrical and Information EngineeringUniversity of SydneySydneyAustralia
  3. 3.Department of Electronic EngineeringCity University of Hong KongHong KongChina

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