Evidence map›Paper›PMID 29137174›Full record

ArticleSensors (Basel, Switzerland)2017

HDOMO: Smart Sensor Integration for an Active and Independent Longevity of the Elderly.

Emanuele Frontoni, Rama Pollini, Paola Russo, Primo Zingaretti, Graziano Cerri

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.3field-weighted citation impact, top 12% of its field
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

3 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

5 authors at 1 institution in 1 country.

Emanuele FrontoniDepartment of Information Engineering - Università Politecnica delle Marche, I-60131 Ancona, Italy. e.frontoni@univpm.it.ORCID 0000-0002-8893-9244
Rama PolliniDepartment of Information Engineering - Università Politecnica delle Marche, I-60131 Ancona, Italy. r.pollini@pm.univpm.it.
Paola RussoDepartment of Information Engineering - Università Politecnica delle Marche, I-60131 Ancona, Italy. p.russo@univpm.it.ORCID 0000-0002-9015-1464
Primo ZingarettiDepartment of Information Engineering - Università Politecnica delle Marche, I-60131 Ancona, Italy. p.zingaretti@univpm.it.ORCID 0000-0002-5709-2159
Graziano CerriDepartment of Information Engineering - Università Politecnica delle Marche, I-60131 Ancona, Italy. g.cerri@univpm.it.ORCID 0000-0003-3243-8069
Marche Polytechnic University · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this paper is to present the main results of HDOMO, an Ambient Assisted Living (AAL) project that involved 16 Small and Medium Enterprises (SMEs) and 2 research institutes. The objective of the project was to create an autonomous and automated domestic environment, primarily for elderly people and people with physical and motor disabilities. A known and familiar environment should help users in their daily activities and it should act as a virtual caregiver by calling, if necessary, relief efforts. Substantially, the aim of the project is to simplify the life of people in need of support, while keeping them autonomous in their private environment. From a technical point of view, the project provides the use of different Smart Objects (SOs), able to communicate among each other, in a cloud base infrastructure, and with the assisted users and their caregivers, in a perspective of interoperability and standardization of devices, usability and effectiveness of alarm systems. In the state of the art there are projects that achieve only a few of the elements listed. The HDOMO project aims to achieve all of them in one single project effectively. The experimental trials performed in a real scenario demonstrated the accuracy and efficiency of the system in extracting and processing data in real time to promptly acting, and in providing timely response to the needs of the user by integrating and confirming main alarms with different interoperable smart sensors. The article proposes a new technique to improve the accuracy of the system in detecting alarms using a multi-SO approach with information fusion between different devices, proving that this architecture can provide robust and reliable results on real environments.

Indexed as

Human ActivitiesAgedHumansAALambient intelligentelderlyintelligent systemsinteroperabilitysmart homesmart objects

Identifiers

PMID29137174
PMCPMC5713030
OpenAlexW2767480618

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.