UMP Institutional Repository

Visual Impaired Person Navigation Assistance Using Motion Sensor

Pebrianti, Dwi and Rosdiyana, Samad and Zainah, Md. Zain and Irawan, Addie and Mohd Razali, Daud (2013) Visual Impaired Person Navigation Assistance Using Motion Sensor. In: Malaysian Technical Universities Conference on Engineering & Technology (MUCET 2013), 3-4 December 2013 , Kuantan, Pahang. pp. 1-2..

[img]
Preview
PDF
EE-005.pdf

Download (337kB)

Abstract

According to the website of World Health Organization (WHO), there are about 285 million people are visually impaired worldwide. This can be separated into 39 million are blind and 246 have low vision. As the vision system has degraded, the person will have difficulty to navigate. In general, the visually impaired person will use a white cane or a seeing-eye dog. However, these systems are considered to be cumbersome due to the difficulties of the usage. For example, in some places, the seeing-eye dog cannot be brought inside, such as a restaurant. Another example is the white cane will have the possibility to be left somewhere. In order to solve the problems, a new technology is needed. In this research, a low cost motion sensor, Kinect sensor, will be used as a tool for assisting a visual impaired person to navigate in a complex environment, such as an indoor environment. The Kinect motion sensor, Figure 1 is completed with (from left to right) an IR projector, an RGB camera and an infrared camera. This device also has a four-microphone array in addition to a RGB camera. Therefore, it can provide depth signals, RGB images, and audio signals simultaneously.The configuration of the sensor on the Kinect sensor and the data captured from a Kinect sensor is shown in Figure 1.

Item Type: Conference or Workshop Item (Speech)
Uncontrolled Keywords: Navigation System; Motion Sensor; Depth Imaging; Artificial Neural Network
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Depositing User: ina
Date Deposited: 19 Aug 2014 07:35
Last Modified: 05 Feb 2018 07:42
URI: http://umpir.ump.edu.my/id/eprint/5728
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item