Indoor Localization for Optimized Ambient Assisted Living Services

Miroslav Mitev, Albena Dimitrova Mihovska, Vladimir Poulkov, Milica Pejanovic-Djurisic

Research output: Contribution to conferenceConference abstract for conferenceResearchpeer-review


Indoor localization is very critical for the provision of Ambient Assisted Living (AAL) services, such as e-Health, smart home, etc. The success of deploying a real-time localization system depends on selecting the right performance characteristics. Bluetooth Low Energy (BLE) is a technology, which has the properties to be used for such an application. The usage of BLE can ensure long life of usage, low initial and maintenance cost and due to the current widespread use of the technology, the algorithms can be easily commercialized. This paper proposes an optimized fall detection algorithm that is based on the use of 2D trilateration for enhanced accuracy of the fall position. The indoor localization method with BLE, uses pre-defined Mean Absolute Error (MAE) and Kalman filtering of the received signal strength. Further, we show a practical case of using the received signal strength indicator (RSSI) as an only input for a fall detection system and to evaluate the algorithm in terms of accuracy.
Original languageEnglish
Publication date26 Apr 2017
Publication statusPublished - 26 Apr 2017
EventWireless Telecommunications Symposium - Holiday Inn, Chicago, United States
Duration: 26 Apr 201728 Apr 2017


ConferenceWireless Telecommunications Symposium
LocationHoliday Inn
Country/TerritoryUnited States

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