Indoor Localization Techniques Within a Home Monitoring Platform
Iuliana Marin, Maria-Iuliana Bocicor, Arthur-Jozsef Molnar

TL;DR
This paper presents various Bluetooth-based indoor localization techniques for real-time monitoring of older adults, evaluating their accuracy in different home environments within a cost-effective, configurable system.
Contribution
It introduces a set of server-side algorithms for indoor localization using Bluetooth signal strength, evaluated in real home settings with different building characteristics.
Findings
Localization accuracy improved with proposed algorithms
Kalman filtering and neural networks outperform heuristics
Techniques are effective across different building types
Abstract
This paper details a number of indoor localization techniques developed for real-time monitoring of older adults. These were developed within the framework of the i-Light research project that was funded by the European Union. The project targeted the development and initial evaluation of a configurable and cost-effective cyber-physical system for monitoring the safety of older adults who are living in their own homes. Localization hardware consists of a number of custom-developed devices that replace existing luminaires. In addition to lighting capabilities, they measure the strength of a Bluetooth Low Energy signal emitted by a wearable device on the user. Readings are recorded in real time and sent to a software server for analysis. We present a comparative evaluation of the accuracy achieved by several server-side algorithms, including Kalman filtering, a look-back heuristic as well…
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