Skip navigation

Please use this identifier to cite or link to this item:
Title: Human Activity Detection Based on the iBeacon Technology
Authors: Lewandowski, Marcin
Orczyk, Tomasz
Płaczek, Bartłomiej
Keywords: język Fuzzy SQL; iBeacon
Issue Date: 2016
Citation: Journal of Medical Informatics & Technologies, Vol. 25 (2016), s. 38-45
Abstract: 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.
ISSN: 1642-6037
Appears in Collections:Artykuły (WNŚiT)

Files in This Item:
File Description SizeFormat 
Lewandowski_Human_activity_detection_on_the_iBeacon.pdf645,56 kBAdobe PDFView/Open
Show full item record

Uznanie autorstwa - użycie niekomercyjne, bez utworów zależnych 3.0 Polska Creative Commons License Creative Commons