Cyber-physical system for assisted living and home monitoring

Bocicor, Maria Iuliana; Cuesta–Frau, David; Draghici, Ionut-Catalin; Goga, Nicolae; Molnar, Arthur-Jozsef; Perez, Raul Valor; Vasilățeanu, Andrei

doi:10.1109/iccp.2017.8117052

Cited by 7 publications

(6 citation statements)

References 16 publications

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“…For example, in the case of an abnormal high temperature, an increased temperature should also be read from close-by sensors. Currently, the hardware provides the following data for analysis [5]:…”

Section: Discussionmentioning

confidence: 99%

“…This section presents the general overview of the platform, while details about its hardware and software components are provided in Sections 4 and 5. The i-Light system [5] has two main components:…”

Section: Platform Overviewmentioning

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%

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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: Discussionmentioning

confidence: 99%

Section: Platform Overviewmentioning

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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“…This section provides a concise description of the i-Light cyber-physical system. The innovative aspects of the platform hardware and software are further detailed in our previous work (Bocicor et al, 2017;Marin et al, 2018;Marin et al, 2019).…”

Section: Real-time Indoor Localisation With Intelligent Luminairesmentioning

confidence: 99%

Intelligent Luminaire based Real-time Indoor Positioning for Assisted Living

Marin¹,

Bocicor²,

Molnar³

2020

Proceedings of the 15th International Conference on Evaluation of Novel Approaches to Software Engineering

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This paper presents an experimental evaluation on the accuracy of indoor localisation. The research was carried out as part of a European Union project targeting the creation of ICT solutions for older adult care. Current expectation is that advances in technology will supplement the human workforce required for older adult care, improve their quality of life and decrease healthcare expenditure. The proposed approach is implemented in the form of a configurable cyber-physical system that enables indoor localization and monitoring of older adults living at home or in residential buildings. Hardware consists of custom developed luminaires with sensing, communication and processing capabilities. They replace the existing lighting infrastructure, do not look out of place and are cost effective. The luminaires record the strength of a Bluetooth signal emitted by a wearable device equipped by the monitored user. The system's software server uses trilateration to calculate the person's location based on known luminaire placement and recorded signal strengths. However, multipath fading caused by the presence of walls, furniture and other objects introduces localisation errors. Our previous experiments showed that room-level accuracy can be achieved using software-based filtering for a stationary subject. Our current objective is to assess system accuracy in the context of a moving subject, and ascertain whether room-level localization is feasible in real time.

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“…The most important innovative aspects as well as platform architecture and main components were already detailed in previous work [4,25,26]. As such, this paper is focused on presenting and evaluating the implemented localization algorithms.…”

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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Cyber-physical system for assisted living and home monitoring

Cited by 7 publications

References 16 publications

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

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

Intelligent Luminaire based Real-time Indoor Positioning for Assisted Living

Indoor Localization Techniques Within a Home Monitoring Platform

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