A Quantitative Research to Decide the User Requirements for the i-Light System

Draghici, Ionut-Catalin; Mihailescu, Monica N.; Guta, Laurentiu; Vasilățeanu, Andrei; Drăgoi, George; Bocicor, Iuliana M.; Molnar, Arthur-Jozsef; Goga, Nicolae

doi:10.1109/cscs.2017.26

Cited by 3 publications

(3 citation statements)

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“…The Geolocation Component is responsible for indoor localisation of tracked persons or objects that have a Bluetooth emitter attached. A series of experiments have been performed to identify the best solution for indoor localisation [4,36,37,70,71]. Each of the luminaires captures Bluetooth signal strength from emitting devices together with their MAC address and timestamp.…”

Section: Geolocationmentioning

confidence: 99%

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i-Light—Intelligent Luminaire Based Platform for Home Monitoring and Assisted Living

et al. 2018

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We present i-Light, a cyber-physical platform that aims to help older adults to live safely within their own homes. The system is the result of an international research project funded by the European Union and is comprised of a custom developed wireless sensor network together with software services that provide continuous monitoring, reporting and real-time alerting capabilities. The principal innovation proposed within the project regards implementation of the hardware components in the form of intelligent luminaires with inbuilt sensing and communication capabilities. Custom luminaires provide indoor localisation and environment sensing, are cost-effective and are designed to replace the lighting infrastructure of the deployment location without prior mapping or fingerprinting. We evaluate the system within a home and show that it achieves localisation accuracy sufficient for room-level detection. We present the communication infrastructure, and detail how the software services can be configured and used for visualisation, reporting and real-time alerting.

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Section: Geolocationmentioning

confidence: 99%

“…This paper describes the first prototype of i-Light, a pervasive cyber-physical system targeted toward older adult supervision and home monitoring [4,5]. The system is being developed under the umbrella of European Union research funding.…”

Section: Introductionmentioning

confidence: 99%

i-Light—Intelligent Luminaire Based Platform for Home Monitoring and Assisted Living

et al. 2018

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“…These include communication via visible light [13], acoustic background fingerprinting [42] and user movements [41]. Given the project requirements detailed in [10], the selected approach was trilateration of the signal strength received from a Bluetooth Low Energy device by at least three intelligent luminaires. This has the advantage of not requiring additional wiring or unsightly devices.…”

Section: Introductionmentioning

confidence: 99%

Indoor Localization Techniques Within a Home Monitoring Platform

Marin¹,

Bocicor²,

Molnar³

2020

Communications in Computer and Information Science

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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 networkbased 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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