- Tytuł:
- Human activity detection based on the iBeacon technology
- Autorzy:
-
Lewandowski, M.
Orczyk, T.
Płaczek, B. - Powiązania:
- https://bibliotekanauki.pl/articles/333122.pdf
- Data publikacji:
- 2016
- Wydawca:
- Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
- Tematy:
-
classification
embedded systems
iBeacon
klasyfikacja
systemy wbudowane - Opis:
- 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.
- Źródło:
-
Journal of Medical Informatics & Technologies; 2016, 25; 38-45
1642-6037 - Pojawia się w:
- Journal of Medical Informatics & Technologies
- Dostawca treści:
- Biblioteka Nauki
Artykuł