Please use this identifier to cite or link to this item: http://repository.psa.edu.my/handle/123456789/3928
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dc.contributor.authorWAN NUR SAFIAH HANIS WAN MAMAT ZUKUNAIN-
dc.contributor.authorDR. SITI ANIZAH MUHAMED-
dc.date.accessioned2023-01-12T07:47:55Z-
dc.date.available2023-01-12T07:47:55Z-
dc.date.issued2022-07-
dc.identifier.isbne-ISBN: 978-967-2258-97-1-
dc.identifier.urihttp://repository.psa.edu.my/handle/123456789/3928-
dc.description.abstractMalaysia will become an ageing country by 2030. Data show that number of elders aged above 60 is increasing, while the percentage of young people aged 14 and below declined over the years. The rising number of elders results in socioeconomic issues including healthcare costs and social support from family members, community, and policymakers in terms of living arrangements. Especially for elders living alone, falling is a serious health problem, and it can lead to serious injuries such as hip fractures. When a person is immobilised due to an injury or unconsciousness, they are unable to aid themselves. Not being found for hours after a fall is fairly prevalent among the elderly who live alone, which dramatically raises the severity of fall-related injuries. Wearable fall detection systems have gotten a lot of interest in academia and business. Some monitoring gadgets, however, are difficult for older persons to wear or singularly only detect falls without monitoring vital signs. This project combines real-time vital signs monitoring system with a fall detection alert function by using wearable sensors and IoT technology. The system has proven able to detect all falls in FIVE (5) varieties of common falling patterns among the elderlyen_US
dc.language.isoenen_US
dc.publisherPOLITEKNIK TUANKU SYED SIRAJUDDIN (PTSS)en_US
dc.subjectfall detectionen_US
dc.subjectvariable sensoren_US
dc.subjectelderly peopleen_US
dc.subjectpreventionen_US
dc.subjectautomaticen_US
dc.subjectwirelessen_US
dc.titleREAL-TIME FALL DETECTION AND VITAL SIGNS MONITORING SYSTEM FOR ELDERLY LIVING ALONE USING WEARABLE SENSORen_US
dc.title.alternativeNCTS: 2nd National Conference on TVET Undergraduate Studentsen_US
Appears in Collections:Conference Paper

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