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|a Zakaria, Nor Aini
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|a Rashid, Nur Amalina
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|a Asa'ari, Muhammad Amir
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|a Development of fall risk detector for elderly
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|b Universitas Ahmad Dahlan,
|c 2018-08.
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|z Get fulltext
|u http://eprints.utm.my/id/eprint/84509/1/NorAiniZakaria2018_DevelopmentofFallRiskDetectorforElderly.pdf
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|a In Malaysia, falls has become the most common injuries for elderly. Therefore, a wearable fall detector device is created to decrease the risk of serious injury among elderly. The device consists of an accelerometer (ADXL345) as a sensor, an Arduino Nano as a microcontroller, and a Global System for Mobile Communications (GSM) as a notifier. A group of 15 young people participated in performing several sets of different falls and ADL (daily life activities) to determine the ability of the device. The result shows a good functioning performance by 92.6% sensitivity to detect fall and 89.3% specificity in discriminate fall from daily life activity.
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|a TK Electrical engineering. Electronics Nuclear engineering
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