Fuzzy-Rule-Based Object Identification Methodology for NAVI System
- PDF / 1,139,864 Bytes
- 8 Pages / 600 x 792 pts Page_size
- 34 Downloads / 193 Views
Fuzzy-Rule-Based Object Identification Methodology for NAVI System R. Nagarajan Artificial Intelligence Research Group, School of Engineering and Information Technology, Universiti Malaysia Sabah, Locked Bag 2073, Kota Kinabalu 88999, Sabah, Malaysia Email: [email protected]
G. Sainarayanan Artificial Intelligence Research Group, School of Engineering and Information Technology, Universiti Malaysia Sabah, Locked Bag 2073, Kota Kinabalu 88999, Sabah, Malaysia Email: [email protected]
Sazali Yaacob School of Mechatronic Engineering, Northern Malaysia University College of Engineering, Kubang Gajah, Arau 02600, Perlis, Malaysia Email: [email protected]
Rosalyn R. Porle Artificial Intelligence Research Group, School of Engineering and Information Technology, Universiti Malaysia Sabah, Locked Bag 2073, Kota Kinabalu 88999, Sabah, Malaysia Email: [email protected] Received 29 December 2003; Revised 29 November 2004 We present an object identification methodology applied in a navigation assistance for visually impaired (NAVI) system. The NAVI has a single board processing system (SBPS), a digital video camera mounted headgear, and a pair of stereo earphones. The captured image from the camera is processed by the SBPS to generate a specially structured stereo sound suitable for vision impaired people in understanding the presence of objects/obstacles in front of them. The image processing stage is designed to identify the objects in the captured image. Edge detection and edge-linking procedures are applied in the processing of image. A concept of object preference is included in the image processing scheme and this concept is realized using a fuzzy-rule base. The blind users are trained with the stereo sound produced by NAVI for achieving a collision-free autonomous navigation. Keywords and phrases: blind navigation, edge detection, object identification, fuzzy-rule-based, stereo sound.
1.
INTRODUCTION
The World Health Organization estimated that around 180 million people worldwide are visually disabled. Of those, between 40 and 45 million people are blind [1]. Blind people’s navigation is restricted and sometime hazardous because they do not receive enough information on the objects or obstacles in their environment. Electronic travel aids (ETAs) are electronic devices designed to aid the navigation of blind people. ETAs design depends highly on the type of sensor used in the system, the method of conveying information to the blind, and also the system hardware. Most of the early ETAs use ultrasonic, infrared, or laser sensors for obstacle detection [2]. Since 1991, the development of vision substitution system using optical devices has become eminent.
The vOICe, Vuphonics and Optophone are the only most important earlier ETAs that use optical sensors as input devices. The vOICe was developed by Meijer in 1991 [3]. The working concept of The vOICe is based on “image-to-sound” conversion wherein the system captures images in front of the blind user and the image properties are transformed into sound patter
Data Loading...
