Evidence map›Paper›PMID 37447889›Full record

ReviewSensors (Basel, Switzerland)2023

Human Action Recognition in Smart Living Services and Applications: Context Awareness, Data Availability, Personalization, and Privacy.

Giovanni Diraco, Gabriele Rescio, Andrea Caroppo, Andrea Manni, Alessandro Leone

Abstract 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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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.

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
Andrea CaroppoNational Research Council of Italy, Institute for Microelectronics and Microsystems, 73100 Lecce, Italy.ORCID 0000-0003-0318-8347
Andrea ManniNational Research Council of Italy, Institute for Microelectronics and Microsystems, 73100 Lecce, Italy.ORCID 0000-0001-5716-5824
Alessandro LeoneNational Research Council of Italy, Institute for Microelectronics and Microsystems, 73100 Lecce, Italy.ORCID 0000-0002-8970-3313

Funding

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

Abstract

Smart living, an increasingly prominent concept, entails incorporating sophisticated technologies in homes and urban environments to elevate the quality of life for citizens. A critical success factor for smart living services and applications, from energy management to healthcare and transportation, is the efficacy of human action recognition (HAR). HAR, rooted in computer vision, seeks to identify human actions and activities using visual data and various sensor modalities. This paper extensively reviews the literature on HAR in smart living services and applications, amalgamating key contributions and challenges while providing insights into future research directions. The review delves into the essential aspects of smart living, the state of the art in HAR, and the potential societal implications of this technology. Moreover, the paper meticulously examines the primary application sectors in smart living that stand to gain from HAR, such as smart homes, smart healthcare, and smart cities. By underscoring the significance of the four dimensions of context awareness, data availability, personalization, and privacy in HAR, this paper offers a comprehensive resource for researchers and practitioners striving to advance smart living services and applications. The methodology for this literature review involved conducting targeted Scopus queries to ensure a comprehensive coverage of relevant publications in the field. Efforts have been made to thoroughly evaluate the existing literature, identify research gaps, and propose future research directions. The comparative advantages of this review lie in its comprehensive coverage of the dimensions essential for smart living services and applications, addressing the limitations of previous reviews and offering valuable insights for researchers and practitioners in the field.

Indexed as

PrivacyQuality of LifeDelivery of Health CareHuman ActivitiesHumansPattern Recognition, Automatedambient assisted livingapplicationscontext awarenessdata availabilitydeep learninghuman action recognitionmachine learningpersonalizationprivacyreviewsensing technologyservicessignal processingsmart citysmart communitysmart environmentsmart homesmart living

Identifiers

PMID37447889
PMCPMC10346639

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.