Audio-based Smart White Cane for Visually Impaired People

Dinmukhamed Zhangaskanov, Nursultan Zhumatay, Md Hazrat Ali

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

2 Citations (Scopus)

Abstract

Despite the huge technological progress in digital control systems during the last decade, the problem of disabled people assimilating in modern society is still relevant due to the outdated technology in this area. One of the examples is the movement of visually impaired people. Nowadays, they use a white cane as a primary tool for interaction with the environment. The problem with this traditional technology is that the white cane does not give enough information about surrounding objects. Thus, the main modifications of the white cane would consist of integrating the obstacle detection system based on ultrasonic sensors, and informing the user by audio signals. The obstacle detection system is consist of a number of ultrasonic sensors located at different angles. Thus, they measure the distance from the cane to the ground. The data collected from the sensors, is analysed for three types of terrain: flat ground, small pit or hole, and stairs. In the case, when the sensors' reading does not match with the reading from the flat ground, the system will alert the user by the audio signal.

Original languageEnglish
Title of host publication2019 5th International Conference on Control, Automation and Robotics, ICCAR 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages889-893
Number of pages5
ISBN (Electronic)9781728133263
DOIs
Publication statusPublished - Apr 2019
Event5th International Conference on Control, Automation and Robotics, ICCAR 2019 - Beijing, China
Duration: Apr 19 2019Apr 22 2019

Publication series

Name2019 5th International Conference on Control, Automation and Robotics, ICCAR 2019

Conference

Conference5th International Conference on Control, Automation and Robotics, ICCAR 2019
CountryChina
CityBeijing
Period4/19/194/22/19

Keywords

  • Automation
  • control applications
  • smart device
  • visually impaired

ASJC Scopus subject areas

  • Mechanical Engineering
  • Control and Optimization
  • Artificial Intelligence
  • Control and Systems Engineering

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  • Cite this

    Zhangaskanov, D., Zhumatay, N., & Ali, M. H. (2019). Audio-based Smart White Cane for Visually Impaired People. In 2019 5th International Conference on Control, Automation and Robotics, ICCAR 2019 (pp. 889-893). [8813508] (2019 5th International Conference on Control, Automation and Robotics, ICCAR 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCAR.2019.8813508