MNDWSN for Helping People with Different Disabilities

Author:

Aly Wael Hosny Fouad123

Affiliation:

1. Computer Science Department, College of Computer and Information Sciences, Al Imam Mohammad Ibn Saud Islamic University, P.O. Box 5701, Riyadh 11432, Saudi Arabia

2. Computer Science Department, UQAM University, Montreal, QC, Canada H2L 2C4

3. Computer Engineering Department, Arab Academy for Science, Technology & Maritime Transport, P.O. Box 1029, Alexandria, Egypt

Abstract

This paper introduces a monitoring and navigation system to help people with disabilities ([Formula: see text]). The proposed system is based on wireless sensor networks. In the [Formula: see text] system, each disabled person uses a handheld smart phone device. Three types of disabilities are studied in this paper: (1) blind, (2) deaf, and (3) on wheelchair. We experimented with a three-floor university building. Sensor nodes and cameras are scattered in all rooms and hallways. Smart phones are used to communicate with the sensor nodes to take instructions to navigate through the appropriate path. Dijkstra's algorithm is used for navigation. [Formula: see text] also monitors the disabled person while navigating. The proposed system is compared to a baseline reference experiment. Results show improvement of 34% compared to the baseline reference experiment.

Publisher

SAGE Publications

Subject

Computer Networks and Communications,General Engineering

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A survey on children tracking system based on wearable localization techniques;THE FOURTH SCIENTIFIC CONFERENCE FOR ELECTRICAL ENGINEERING TECHNIQUES RESEARCH (EETR2022);2023

2. Indoor Localization for the Blind Based on the Fusion of a Metaheuristic Algorithm with a Neural Network Using Energy-Efficient WSN;Arabian Journal for Science and Engineering;2022-09-08

3. An intelligent model to assist people with disabilities in smart cities;Journal of Ambient Intelligence and Smart Environments;2021-07-21

4. Energy-Efficient Localization System for the Blind Based on an Awake/Sleep Scheduling Scheme;IOP Conference Series: Materials Science and Engineering;2021-06-01

5. Localization Techniques for Blind People in Outdoor/Indoor Environments: Review;IOP Conference Series: Materials Science and Engineering;2020-03-01

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