• Mar 17, 2017 News![CFP] 2017 the annual meeting of IJMMM Editorial Board, ICMAM 2017, will be held in Phuket, Thailand during October 13-15, 2017.   [Click]
  • Mar 24, 2016 News!Vol.3, No.3 has been indexed by EI(Inspec)!   [Click]
  • Mar 17, 2017 News!IJMMM Vol.5, No.2 has been published with online version. 14 peer reviewed articles are published in this issue.   [Click]
General Information
    • ISSN: 1793-8198
    • Frequency: Quarterly
    • DOI: 10.18178/IJMMM
    • Editor-in-Chief: Prof. K. M. Gupta, Prof. Ian McAndrew
    • Executive Editor: Ms. Cherry L. Chen
    • Abstracting/Indexing: EI (INSPEC, IET), Chemical Abstracts Services (CAS), Engineering & Technology Digital Library,  ProQuest, Crossref, Ulrich's Periodicals Directory, DOAJ, and Electronic Journals Library .
    • E-mail ijmmm@ejournal.net
Editor-in-chief
Prof. Ian McAndrew
Embry Riddle Aeronautical University, UK.
It is my honor to be the editor-in-chief of IJMMM. I will do my best to help develop this journal better.

IJMMM 2014 Vol.2(2): 133-138 ISSN: 1793-8198
DOI: 10.7763/IJMMM.2014.V2.115

A Real-Time Fall Detection System in Elderly Care Using Mobile Robot and Kinect Sensor

Zaid A. Mundher and Jiaofei Zhong
Abstract—The growing population of elderly people especially in developed countries motivates the researchers to develop healthcare systems to ensure the safety of elderly people at home. On the other hand, mobile robots can provide an efficient solution to healthcare problem. Moreover, using new technologies such as the Kinect sensor with robotics could bring new ways to build intelligent systems that could use to monitor the elderly people, and raise an alarm in case of dangerous events, such as falling down, are detected. Falls and their consequences are a major risk especially for elderly people who live alone where immediate assistance is needed. In this work, the Kinect sensor is used to introduce a mobile robot system to follow a person and detect when the target person has fallen. In addition, the mobile robot is provided with a cell phone that is used to send an SMS message notification and make an emergency call when a fall is detected.

Index Terms—Fall detection, healthcare, Kinect sensor, person-following.

Z. A. Mundher is with the Department of Computer Science, University of Mosul, Mosul, Iraq (e-mail: zaidabdulelah@gmail.com).
J. Zhong is with the Department of Mathematics and Computer Science, University of Central Missouri Warrensburg, MO 64093, USA (e-mail: zhong@ucmo.edu).

[PDF]

Cite:Zaid A. Mundher and Jiaofei Zhong, "A Real-Time Fall Detection System in Elderly Care Using Mobile Robot and Kinect Sensor," International Journal of Materials, Mechanics and Manufacturing vol. 2, no. 2, pp. 133-138, 2014.

Copyright © 2008-2015. International Journal of Materials, Mechanics and Manufacturing. All rights reserved.
E-mail: ijmmm@ejournal.net