Fall detection and notification system to fast emergency management for the elderly
An elderly person needs special attention from his family environment; however, in general elderly people still want to live independently and not depend on their family. On the other hand, elderly people have a high risk of falling accidents because they experience a decline in health, especially p...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2024-01-01
|
| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/05/e3sconf_incasst2024_02014.pdf |
| _version_ | 1797343602910691328 |
|---|---|
| author | Goldwin Ivan Gunadhi Albert Lestariningsih Diana Pranjoto Hartono Angka Peter Rhatodirdjo Agustine Lanny |
| author_facet | Goldwin Ivan Gunadhi Albert Lestariningsih Diana Pranjoto Hartono Angka Peter Rhatodirdjo Agustine Lanny |
| author_sort | Goldwin Ivan |
| collection | DOAJ |
| description | An elderly person needs special attention from his family environment; however, in general elderly people still want to live independently and not depend on their family. On the other hand, elderly people have a high risk of falling accidents because they experience a decline in health, especially physical health, which can result in serious injury or death if treatment cannot be done immediately. To overcome this, a tool is needed that can detect falls in the elderly so that it is hoped that the elderly can be treated immediately. The elderly fall detection tool is designed using accelerometer, gyroscope and GPS sensors. The function of the tool is to detect an elderly person's fall and then respond by sending information to family members from the mobile phone number that has been stored in the tool's programming. The tool has dimensions of 3.4 x 7 x 3 cm which can be put into an elderly person's pocket. Testing of the tool was carried out by the subject performing a falling movement 10 times. The tool succeeded in detecting and sending fall information to Telegram 9 times so that the success rate of the fall detection tool was 90%. |
| first_indexed | 2024-03-08T10:50:10Z |
| format | Article |
| id | doaj.art-3b446c6de24b42369414cf99cbed84de |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-03-08T10:50:10Z |
| publishDate | 2024-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-3b446c6de24b42369414cf99cbed84de2024-01-26T16:47:29ZengEDP SciencesE3S Web of Conferences2267-12422024-01-014750201410.1051/e3sconf/202447502014e3sconf_incasst2024_02014Fall detection and notification system to fast emergency management for the elderlyGoldwin Ivan0Gunadhi Albert1Lestariningsih Diana2Pranjoto Hartono3Angka Peter Rhatodirdjo4Agustine Lanny5Department of Electrical Engineering, Faculty of Engineering, Widya Mandala Surabaya Catholic UniversityDepartment of Electrical Engineering, Faculty of Engineering, Widya Mandala Surabaya Catholic UniversityDepartment of Electrical Engineering, Faculty of Engineering, Widya Mandala Surabaya Catholic UniversityDepartment of Electrical Engineering, Faculty of Engineering, Widya Mandala Surabaya Catholic UniversityDepartment of Electrical Engineering, Faculty of Engineering, Widya Mandala Surabaya Catholic UniversityDepartment of Electrical Engineering, Faculty of Engineering, Widya Mandala Surabaya Catholic UniversityAn elderly person needs special attention from his family environment; however, in general elderly people still want to live independently and not depend on their family. On the other hand, elderly people have a high risk of falling accidents because they experience a decline in health, especially physical health, which can result in serious injury or death if treatment cannot be done immediately. To overcome this, a tool is needed that can detect falls in the elderly so that it is hoped that the elderly can be treated immediately. The elderly fall detection tool is designed using accelerometer, gyroscope and GPS sensors. The function of the tool is to detect an elderly person's fall and then respond by sending information to family members from the mobile phone number that has been stored in the tool's programming. The tool has dimensions of 3.4 x 7 x 3 cm which can be put into an elderly person's pocket. Testing of the tool was carried out by the subject performing a falling movement 10 times. The tool succeeded in detecting and sending fall information to Telegram 9 times so that the success rate of the fall detection tool was 90%.https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/05/e3sconf_incasst2024_02014.pdf |
| spellingShingle | Goldwin Ivan Gunadhi Albert Lestariningsih Diana Pranjoto Hartono Angka Peter Rhatodirdjo Agustine Lanny Fall detection and notification system to fast emergency management for the elderly E3S Web of Conferences |
| title | Fall detection and notification system to fast emergency management for the elderly |
| title_full | Fall detection and notification system to fast emergency management for the elderly |
| title_fullStr | Fall detection and notification system to fast emergency management for the elderly |
| title_full_unstemmed | Fall detection and notification system to fast emergency management for the elderly |
| title_short | Fall detection and notification system to fast emergency management for the elderly |
| title_sort | fall detection and notification system to fast emergency management for the elderly |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/05/e3sconf_incasst2024_02014.pdf |
| work_keys_str_mv | AT goldwinivan falldetectionandnotificationsystemtofastemergencymanagementfortheelderly AT gunadhialbert falldetectionandnotificationsystemtofastemergencymanagementfortheelderly AT lestariningsihdiana falldetectionandnotificationsystemtofastemergencymanagementfortheelderly AT pranjotohartono falldetectionandnotificationsystemtofastemergencymanagementfortheelderly AT angkapeterrhatodirdjo falldetectionandnotificationsystemtofastemergencymanagementfortheelderly AT agustinelanny falldetectionandnotificationsystemtofastemergencymanagementfortheelderly |