| Autor: |
Goldwin Ivan, Gunadhi Albert, Lestariningsih Diana, Pranjoto Hartono, Angka Peter Rhatodirdjo, Agustine Lanny |
| Jazyk: |
English<br />French |
| Rok vydání: |
2024 |
| Předmět: |
|
| Zdroj: |
E3S Web of Conferences, Vol 475, p 02014 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2267-1242 |
| DOI: |
10.1051/e3sconf/202447502014 |
| Popis: |
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%. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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