Evidence map›Paper›PMID 26007717›Full record

ReviewSensors (Basel, Switzerland)2015

The Elderly's Independent Living in Smart Homes: A Characterization of Activities and Sensing Infrastructure Survey to Facilitate Services Development.

Qin Ni, Ana Belén García Hernando, Iván Pau de la Cruz

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 3 pooled it
–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

46 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Delivering Digital Healthcare for Elderly: A Holistic Framework for the Adoption of Ambient Assisted Living.International journal of environmental research and public health · 2022
    Pooled it
  3. Pooled it
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  13. Global Research Trends on Smart Homes for Older Adults: Bibliometric and Scientometric Analyses.International journal of environmental research and public health · 2022
    Article
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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

3 authors.

Qin NiDepartamento de Ingeniería Telemática y Electrónica, Universidad Politécnica de Madrid, Carretera de Valencia km. 7, Madrid 28031, Spain. qin.ni@alumnos.upm.es.
Ana Belén García HernandoDepartamento de Ingeniería Telemática y Electrónica, Universidad Politécnica de Madrid, Carretera de Valencia km. 7, Madrid 28031, Spain. anabelen.garcia@upm.es.
Iván Pau de la CruzDepartamento de Ingeniería Telemática y Electrónica, Universidad Politécnica de Madrid, Carretera de Valencia km. 7, Madrid 28031, Spain. ivan.pau@upm.es.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human activity detection within smart homes is one of the basis of unobtrusive wellness monitoring of a rapidly aging population in developed countries. Most works in this area use the concept of "activity" as the building block with which to construct applications such as healthcare monitoring or ambient assisted living. The process of identifying a specific activity encompasses the selection of the appropriate set of sensors, the correct preprocessing of their provided raw data and the learning/reasoning using this information. If the selection of the sensors and the data processing methods are wrongly performed, the whole activity detection process may fail, leading to the consequent failure of the whole application. Related to this, the main contributions of this review are the following: first, we propose a classification of the main activities considered in smart home scenarios which are targeted to older people's independent living, as well as their characterization and formalized context representation; second, we perform a classification of sensors and data processing methods that are suitable for the detection of the aforementioned activities. Our aim is to help researchers and developers in these lower-level technical aspects that are nevertheless fundamental for the success of the complete application.

Indexed as

activity characterizationactivity monitoringdata processinge-health services developmentindependent livingsensorssmart home

Identifiers

PMID26007717
PMCPMC4481963

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.