Evidence map›Paper›PMID 37300008›Full record

ReviewSensors (Basel, Switzerland)2023

Review on Human Action Recognition in Smart Living: Sensing Technology, Multimodality, Real-Time Processing, Interoperability, and Resource-Constrained Processing.

Giovanni Diraco, Gabriele Rescio, Pietro Siciliano, Alessandro Leone

Open access · goldAbstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
10.0field-weighted citation impact, top 1% 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

14 citing papers in PubMed, 83 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Giovanni DiracoNational Research Council of Italy, Institute for Microelectronics and Microsystems, 73100 Lecce, Italy.ORCID 0000-0002-9737-3721
Gabriele RescioNational Research Council of Italy, Institute for Microelectronics and Microsystems, 73100 Lecce, Italy.ORCID 0000-0003-3374-2433
Pietro SicilianoNational Research Council of Italy, Institute for Microelectronics and Microsystems, 73100 Lecce, Italy.ORCID 0000-0002-1312-4593
Alessandro LeoneNational Research Council of Italy, Institute for Microelectronics and Microsystems, 73100 Lecce, Italy.ORCID 0000-0002-8970-3313
National Research Council · IT

Funding

MUR-Italian Ministry for University and Research ARS01_00345
6 · The paper itself

Abstract

Smart living, a concept that has gained increasing attention in recent years, revolves around integrating advanced technologies in homes and cities to enhance the quality of life for citizens. Sensing and human action recognition are crucial aspects of this concept. Smart living applications span various domains, such as energy consumption, healthcare, transportation, and education, which greatly benefit from effective human action recognition. This field, originating from computer vision, seeks to recognize human actions and activities using not only visual data but also many other sensor modalities. This paper comprehensively reviews the literature on human action recognition in smart living environments, synthesizing the main contributions, challenges, and future research directions. This review selects five key domains, i.e., Sensing Technology, Multimodality, Real-time Processing, Interoperability, and Resource-Constrained Processing, as they encompass the critical aspects required for successfully deploying human action recognition in smart living. These domains highlight the essential role that sensing and human action recognition play in successfully developing and implementing smart living solutions. This paper serves as a valuable resource for researchers and practitioners seeking to further explore and advance the field of human action recognition in smart living.

Indexed as

Quality of LifeTime PerceptionDelivery of Health CareHuman ActivitiesHumansPattern Recognition, Automatedambient assisted livingdeep learninghuman action recognitioninteroperabilitymachine learningmultimodalityreal-time processingresource-constrained processingreviewsensing technologysignal processingsmart citysmart communitysmart environmentsmart homesmart living

Identifiers

PMID37300008
PMCPMC10255964
OpenAlexW4379232464

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.