LAURA &amp;#x2014; LocAlization and Ubiquitous monitoRing of pAtients for health care support

Redondi, Alessandro E. C.; Tagliasacchi, Marco; Cesana, Matteo; Borsani, Luca; Tarrío, Paula; Salice, F.

doi:10.1109/pimrcw.2010.5670365

Cited by 31 publications

(21 citation statements)

References 14 publications

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“…LAURA [15,16] is a localization system designed for people tracking in indoor environments. It is based on a 2.4GHz WSN, with a specifically designed addressing protocol.…”

Section: The Indoor Rf Localization Subsystemmentioning

confidence: 99%

“…As briefly introduced, the LAURA system has several features making it an ideal candidate for our settings: it is a critical mission assistive system, easily deployable, wireless, battery powered and no configuration is needed, making it particularly suitable for home environment. However, in the setting presented by Redondi et al [15,16], it still lacks any method to provide dependability.…”

Section: The Indoor Rf Localization Subsystemmentioning

confidence: 99%

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Method, Design and Implementation of an Indoor Tracking System with Concurrent Fault Localization

Veronese¹,

Comai²,

Salice³

2015

ICST Transactions on Ubiquitous Environments

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Thanks to the diffusion of wearable devices there are several indoor tracking systems. Among them, RF-based have been deeply studied for their flexibility and limited costs. These systems can be employed as assistive tools only being dependable, identifying faults. We propose two methods to provide multiuser tracking with concurrent localization of natural hardware and human-made faults. The first method relies on independent measurement systems and on a model-based fault localization apparatus, checking for discrepancies in the subsystems behavior. The second provides an estimation of the fault probability for each device, based on the data collected at runtime. These methods aim to provide dependable tracking for fragile people (such as elderly or people with small impairments). We present examples of Indoor Human Tracking simulations in a large environment, and an implemented case-study. The collected data confirm the validity of both the approaches and highlight their diversity.

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“…LAURA [15,16] is a localization system designed for people tracking in indoor environments. It is based on a 2.4GHz WSN, with a specifically designed addressing protocol.…”

Section: The Indoor Rf Localization Subsystemmentioning

confidence: 99%

Section: The Indoor Rf Localization Subsystemmentioning

confidence: 99%

Method, Design and Implementation of an Indoor Tracking System with Concurrent Fault Localization

Veronese¹,

Comai²,

Salice³

2015

ICST Transactions on Ubiquitous Environments

Self Cite

View full text Add to dashboard Cite

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“…Several researchers such as Redondi et al (2010), Lim et al (2010) and Evennou et al (2006) introduced gradient descent to avoid wall crossing under known environment's map for improving wireless patient tracking via the help of WSN. Redondi et al (2010) and Evennou et al (2006) introduced PF based on Sampling Importance Resampling (SIR) to enhance the quality of tracking.…”

Section: Introductionmentioning

confidence: 99%

“…Redondi et al (2010) and Evennou et al (2006) introduced PF based on Sampling Importance Resampling (SIR) to enhance the quality of tracking. While Ly-Tu et al (2015) introduced the KLDresampling PF for wireless patient tracking by the given upper bound error with fixed probability so as to create a sample set near the high-likelihood region.…”

Section: Introductionmentioning

confidence: 99%

A Study on Particle Filter based on KLD-Resampling for Wireless Patient Tracking

Ly-Tu¹,

Le-Tien²,

Mai³

2017

Industrial Engineering and Management Systems

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In this paper, we consider a typical health care system via the help of Wireless Sensor Network (WSN) for wireless patient tracking. The wireless patient tracking module of this system performs localization out of samples of Received Signal Strength (RSS) variations and tracking through a Particle Filter (PF) for WSN assisted by multiple transmitpower information. We propose a modified PF, Kullback-Leibler Distance (KLD)-resampling PF, to ameliorate the effect of RSS variations by generating a sample set near the high-likelihood region for improving the wireless patient tracking. The key idea of this method is to approximate a discrete distribution with an upper bound error on the KLD for reducing both location error and the number of particles used. To determine this bound error, an optimal algorithm is proposed based on the maximum gap error between the proposal and Sampling Important Resampling (SIR) algorithms. By setting up these values, a number of simulations using the health care system's data sets which contains the real RSSI measurements to evaluate the location error in term of various power levels and density nodes for all methods. Finally, we point out the effect of different power levels vs. different density nodes for the wireless patient tracking.

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“…(7.2) Where S represents de sediments in svedbergs and r de distance from de center of cage. Figure 7.5 shows the depositions of a marine fish farm with 6 cages, each one with 15 meters of radius, that are placed in the positions (20,20), (60,20), (100,20), (60,30), (60,70) and (60,110) for δT=15. 1 7 13 19 25 31 37 43 49 55 61 67 73 79 85 91 97 103 109 115 121 …”

Section: Seabed Depositions Estimationmentioning

confidence: 99%

Deployment of Efficient Wireless Sensor Nodes for Monitoring in Rural, Indoor and Underwater Environments

Compte¹

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There are many works related to the design and development of sensor nodes which present several applications. Wireless sensor networks can facilitate and improve some aspects of our daily lives. It is easy to think that if this type of device is so beneficial to us and to our environment, its price should be relatively cheap. But we can see that this is not true. Why these devices are so expensive? Would it be possible to develop devices with the same capabilities and lower prices? How can I make my low-cost sensor nodes?This dissertation answers these questions and shows some of the many applications that sensor nodes may have. In this dissertation, we propose (and implement in some cases) the development of sensor nodes for environmental monitoring, from low-cost devices. For the implementation of a sensor node and network which joins all these nodes, it is important to know the environment where they will work. Throughout this dissertation, we present the research carried out for the development of sensors in three main application areas.In the first of these areas, we present multisensor devices developed for environmental monitoring. The application of wireless sensor networks to the environment requires a study of how signals are affected depending on the distance, vegetation, ambient humidity, etc. We focus our developments on the fire detection in rural areas and on the control of pests in vineyards where the early detection of these events generates high economic savings. We also propose the development of a sensor network which will help us to reduce and prevent wolves' attacks and theft in livestock. Finally, within this group, we present a network to detect material anomalies in building and a sensor network which allows us to monitor the elderly or disabled people who move along with a group on a tour or activity.The second group of applications is related to the monitoring of spaces in indoor environments. For this, we analyze the behavior of wireless signals in different scenarios. These results allowed us to extract a new method for designing wireless networks in indoor environments. Our method allows defining the best location of network devices and sensor nodes indoors saving 15% of the sensors needed.Finally, we present a study on underwater freshwater communications based on electromagnetic waves, where we analyze the dependency of underwater communications as a function of working frequency, temperature, data transfer rates and modulation.Related to underwater environment, we present two proposals. First one refers to the implementation of a sensor network for marine farms which allows us to reduce the amount of waste deposited on the seabed and reduce the percentage of wasted food. The second proposal is the development of two oceanographic sensors which allow us to control the amount of food and feces deposited in seabed and the water turbidity control in a very simple and inexpensive way. Sandra Sendra Compte ivAll these developments and proposals have been preceded by a comprehe...

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LAURA — LocAlization and Ubiquitous monitoRing of pAtients for health care support

Cited by 31 publications

References 14 publications

Method, Design and Implementation of an Indoor Tracking System with Concurrent Fault Localization

Method, Design and Implementation of an Indoor Tracking System with Concurrent Fault Localization

A Study on Particle Filter based on KLD-Resampling for Wireless Patient Tracking

Deployment of Efficient Wireless Sensor Nodes for Monitoring in Rural, Indoor and Underwater Environments

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