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AuthorAl-Rowaili, Bashaer
AuthorAl-Obaidli, Noor
AuthorAl-Marri, Dana
AuthorAbualsaud, Khalid
AuthorYaacoub, Elias
Available date2024-10-08T07:41:54Z
Publication Date2024-05
Publication Name20th International Wireless Communications and Mobile Computing Conference, IWCMC 2024
Identifierhttp://dx.doi.org/10.1109/IWCMC61514.2024.10592481
CitationAl-Rowaili, B., Al-Obaidli, N., Al-Marri, D., Abualsaud, K., & Yaacoub, E. (2024, May). Fall Detection Wristband with Optimized Security and Health Monitoring. In 2024 International Wireless Communications and Mobile Computing (IWCMC) (pp. 697-702). IEEE.
ISBN979-835036126-1
URIhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85199976022&origin=inward
URIhttp://hdl.handle.net/10576/59894
AbstractSeveral people suffer from sudden falls, which puts them seriously at high risk if they do not get help right away. However, if people own a wearable device, they can utilize it to get them help from a nearest hospital whenever they feel tired or suffer from a sudden fall. Elderly people also tend to live alone. After a fall, it is rare for an elderly person to be able to get up or ask for assistance. Therefore, to enable patients to request assistance even in cases where they are unable to get up after a fall, an advanced fall detection system is required, with appropriate hardware and software components. Wireless sensors and Global Positioning System (GPS) gadgets are among the technologies that can be utilized in this regard. While sensors collect information about movement, a GPS device uses information from satellites to pinpoint an object's exact location inside a given space. The goal of this paper is to describe a developed and implemented fall detection wearable wristband with lightweight security for health monitoring. In the event of an emergency, the smartphone application will communicate the user's specific location to the nearest hospital and their emergency contacts. The proposed wristband achieved our goal by developing a system that can communicate with the mobile application. Furthermore, the model testing produced 92% overall accuracy.
SponsorThis publication was supported by Qatar University grant no. QUCD-IRCC-CENG-24-349.
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc. (IEEE)
Subjectambient assisted living (AAL)
diabetes
Fall detection
smartphone application
wearable devices
wireless sensors
TitleFall Detection Wristband with Optimized Security and Health Monitoring
TypeConference Paper
Pagination697-702
dc.accessType Full Text


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