| Autor: |
MEBRIM, C. A., UBADIKE, O. C., AIBINU, A. M., ALEGBELEYE, I. I., ONUMANYI, A. J. |
| Předmět: |
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| Zdroj: |
i-Manager's Journal on Digital Signal Processing; Apr-Jun2019, Vol. 7 Issue 2, p1-9, 9p |
| Abstrakt: |
Fall related injuries have become the leading cause of death and hospitalization of the elderly. Most death happen when the fall of a senior citizen is found beyond the critical stage, while they live in isolation. The main approach of this work is expected to aid the senior citizens take care of the Activities of the Daily Living (ADL), thus increasing independence even in old age. The use of accelerometer was found to be suitable for effective fall detection owing to its numerous advantages. Senior citizen movement pattern is acquired at a pre-determined rate. The acquired data is preprocessed before the application of static threshold and Time delay. The threshold value is used to detect elderly fall and this is then transmitted to the care-giver via telemonitoring system. In event of a fall, the Global System for Mobile Communication (GSM) Module (incorporated in the system) sends a Short Message Service (SMS) to remote mobile phone seeking for immediate attention from the care giver. For seamless communication, the Arduino Uno was used to aid interaction between these modules. Accuracy near 100 percent was achieved with simple static threshold and time delay in this system. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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