Indoor Localization for Optimized Ambient Assisted Living Services
Abstract
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.
Authors
- Miroslav Mitev
- Albena Mihovska
- Vladimir Poulkov
- Milica Pejanovic-Djurisic
Venue
Wireless Telecommunications Symposium (WTS), 2017.