Development of voice recognition on navigation system for visually impaired person

Ng , Wan Teng (2014) Development of voice recognition on navigation system for visually impaired person. Project Report. UTeM. (Submitted)

Text DEVELOPMENT OF VOICE RECOGNITION ON NAVIGATION SYSTEM FOR VISUALLY IMPAIRED PERSON 24pages.pdf Download (550kB)

Abstract

White cane has been widely used nowadays as a mobility tool for visually impaired person but it is still insufficient for them to live their life independently. Many navigation methods have been developed in the past to assist on improvement of visually impaired person mobility. In this project, the methods proposed by other researchers are studied. The methods include the use of coloured line, white cane, RFID tag, sensors, GPS and speaker. In order to improve the current navigation method, voice recognition is proposed in this project. The aim of this project is to develop a voice recognition system that can recognize facilities such as toilet and prayer where EasyVR module is used as a voice recognition device. The system is designed using Arduino programming language and Arduino Uno is used in this project. In order to measure the performance of the system developed, an experiment is conducted to evaluate how a sound matches the pre-recorded voice command in the voice recognition system. While the other experiment is conducted to test the accuracy of the method proposed under different environment with different sound intensity level. From the experiment, waveform of sound and graph is plotted to analyze the performance of the system. At the end of the project, visually impaired person will be able to reach their destination through inputting the voice command into the navigation system.

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