Human activity detection based on the iBeacon technology

• Autorzy: Lewandowski M. , Orczyk T. , Płaczek B.
• Języki publikacji: EN

Abstrakty

EN

Paper presents a new method of patient activity monitoring, by using modern ADL (Activities of Daily Living) techniques. Proposed method utilizes energy efficient Bluetooth iBeacon BLE (Bluetooth Low Energy) modules, developed by Apple. Main advantage of this technology is the ability to detect neighboring devices, which belong to the same device family. Proposed method is based on observing changes of received signal strength indicator (RSSI) in the time domain. The RSSI analysis is performed in order to asses a human activity. Such observation may be particularly useful for monitoring consciousness of elder people, where reaction time of emergency rescuers and appropriate rescue operations may save the human lives.

Słowa kluczowe

EN

classification; embedded system; iBeacon

PL

klasyfikacja; systemy wbudowane; iBeacon

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2016
• Tom: Vol. 25
• Strony: 38--45
• Opis fizyczny: Bibliogr. 13 poz., rys., wykr.

Twórcy

autor

Lewandowski M.

• University of Silesia in Katowice, Poland

autor

Orczyk T.

• University of Silesia in Katowice, Poland

autor

Płaczek B.

• University of Silesia in Katowice, Poland

Bibliografia

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Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).