Assistive and Monitoring Multifunctional Smart Crutch for Elderly

Yang, J., Liu, Y., Chen, Y., Nie, H., Zhanqiu, W., Xu, L., Imran, M. A. and Ahmad, W. (2019) Assistive and Monitoring Multifunctional Smart Crutch for Elderly. In: 4th Cyber Science and Technology Congress (CyberSciTech 2019), Fukuoka, Japan, 5-8 August 2019, pp. 397-401. ISBN 9781728130248 (doi:10.1109/DASC/PiCom/CBDCom/CyberSciTech.2019.00081)

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Abstract

Most of the areas in the world are turning into aging societies since 1999 with the largest elderly population today. Due to this huge population of elderly people, their health care problems have become a significant focus of the study. With aging, these senior citizens are most likely to be mobility-impaired and vulnerable to accidents such as falling down. Besides that, they are at high risk of age associated disease like tachycardia, dementia, loss of physical control, and social challenges like solitary. Continuous monitoring and assistive living environment have become crucial to overcome such hazards and run their activities of daily life smoothly. Towards this end, a smart crutch capable of monitoring several conditions of users, especially old people, is designed and developed. The functions it can perform include the detection of the falling condition, monitoring of the heart rate, and tracking of the user's location. A gyroscope is utilized to detect whether the motion for fall detection; a heartbeat sensor to monitor the heart rate; a GPS navigation system to locate the elderly quickly and send information of the location to the website or mobile terminals. In addition, the crutch also has a flashlight which can adjust the intensity of the light according to the intensity of the surrounding light. This paper illustrates the design, system integration, and the working principle of the proposed smart crutch.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Imran, Professor Muhammad and Ahmad, Dr Wasim
Authors: Yang, J., Liu, Y., Chen, Y., Nie, H., Zhanqiu, W., Xu, L., Imran, M. A., and Ahmad, W.
College/School:College of Science and Engineering > School of Engineering > Systems Power and Energy
ISBN:9781728130248
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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
300725Distributed Autonomous Resilient Emergency Management System (DARE)Muhammad ImranEngineering and Physical Sciences Research Council (EPSRC)Uncle 12187 - EP/P028764/ENG - Systems Power & Energy