Indoor Localization Techniques Within a Home Monitoring Platform
- URL: http://arxiv.org/abs/2009.01654v1
- Date: Thu, 3 Sep 2020 13:40:13 GMT
- Title: Indoor Localization Techniques Within a Home Monitoring Platform
- Authors: Iuliana Marin and Maria-Iuliana Bocicor and Arthur-Jozsef Molnar
- Abstract summary: 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.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- 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 as a neural
network-based approach. It is known that approaches based on measuring signal
strength are sensitive to the placement of walls, construction materials used,
the presence of doors as well as existing furniture. As such, we evaluate the
proposed approaches in two separate locations having distinct building
characteristics. We show that the proposed techniques improve the accuracy of
localization. As the final step, we evaluate our results against comparable
existing approaches.
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