Evidence map›Paper›PMID 34209826›Full record

ArticleSensors (Basel, Switzerland)2021

Design of a Kitchen-Monitoring and Decision-Making System to Support AAL Applications.

Nikola Žarić, Milutin Radonjić, Nikola Pavlićević, Sanja Paunović Žarić

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
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  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Nikola ŽarićFaculty of Electrical Engineering, University of Montenegro, 81000 Podgorica, Montenegro.
Milutin RadonjićFaculty of Electrical Engineering, University of Montenegro, 81000 Podgorica, Montenegro.ORCID 0000-0002-9670-2431
Nikola PavlićevićTechnical Support Office, ZTE Corporation, 81000 Podgorica, Montenegro.
Sanja Paunović ŽarićFaculty of Architecture, University of Montenegro, 81000 Podgorica, Montenegro.ORCID 0000-0001-7925-4262

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Numerous researchers are working on Ambient Assisted Living systems to enable more comfortable and safer living for senior people in their homes. Due to modern lifestyles and an aging population, this has become a very important issue. According to the available literature, it is obvious that the kitchen is one of the most important and most dangerous rooms in the home. However, there is still evident lack of monitoring systems suitable for specific kitchen activities. In this paper, we propose a monitoring system capable of identifying activities related to the cooking process, and a decision-making system capable of identifying some unwanted and possibly critical conditions. The proposed systems are designed to satisfy the requirements of the modern Ambient Assisted Living systems dedicated to older adults. The proposed monitoring system consists of ultrasound, temperature, and humidity sensors. The acquired results from these sensors are the inputs for the decision-making system, which generate warnings or alarms intended for the senior users and/or formal or informal caregivers. This system is designed to improve home safety related to kitchen activities, as well as to provide information about the lifestyle and daily activities of senior users. Experimental validation of the proposed system confirms its functionality and accurate design approach.

Indexed as

Ambient IntelligenceAssisted Living FacilitiesActivities of Daily LivingAgedAgingCaregiversHumansMonitoring, Physiologicambient assisted livingcooking process monitoringdecision-making systemtemperature and humidityultrasound sensor

Identifiers

PMID34209826
PMCPMC8272132

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.