Evidence map›Paper›PMID 35591057›Full record

ArticleSensors (Basel, Switzerland)2022

LEMON: A Lightweight Facial Emotion Recognition System for Assistive Robotics Based on Dilated Residual Convolutional Neural Networks.

Rami Reddy Devaram, Gloria Beraldo, Riccardo De Benedictis, Misael Mongiovì, Amedeo Cesta

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
3.2field-weighted citation impact, top 8% 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Contextual emotion detection in images using deep learning.Frontiers in artificial intelligence · 2024
    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 at 1 institution in 1 country.

Rami Reddy DevaramCNR-Italian National Research Council, Institute of Cognitive Sciences and Technologies, Via Gaifami 18, 95126 Catania, Italy.ORCID 0000-0002-9495-8521
Gloria BeraldoCNR-Italian National Research Council, Institute of Cognitive Sciences and Technologies, Via S. Martino della Battaglia 44, 00185 Rome, Italy.ORCID 0000-0001-8937-9739
Riccardo De BenedictisCNR-Italian National Research Council, Institute of Cognitive Sciences and Technologies, Via S. Martino della Battaglia 44, 00185 Rome, Italy.ORCID 0000-0003-2344-4088
Misael MongiovìCNR-Italian National Research Council, Institute of Cognitive Sciences and Technologies, Via Gaifami 18, 95126 Catania, Italy.ORCID 0000-0003-0528-5490
Amedeo CestaCNR-Italian National Research Council, Institute of Cognitive Sciences and Technologies, Via S. Martino della Battaglia 44, 00185 Rome, Italy.ORCID 0000-0002-0703-9122
National Research Council · IT

Funding

Ministry of Education, Universities and Research G.A. ARS01 01120
6 · The paper itself

Abstract

The development of a Social Intelligence System based on artificial intelligence is one of the cutting edge technologies in Assistive Robotics. Such systems need to create an empathic interaction with the users; therefore, it os required to include an Emotion Recognition (ER) framework which has to run, in near real-time, together with several other intelligent services. Most of the low-cost commercial robots, however, although more accessible by users and healthcare facilities, have to balance costs and effectiveness, resulting in under-performing hardware in terms of memory and processing unit. This aspect makes the design of the systems challenging, requiring a trade-off between the accuracy and the complexity of the adopted models. This paper proposes a compact and robust service for Assistive Robotics, called

Indexed as

CitrusFacial RecognitionRoboticsArtificial IntelligenceFacial ExpressionNeural Networks, Computerassistive roboticscomputer visiondeep convolutional neural networksemotion recognitionface recognition

Identifiers

PMID35591057
PMCPMC9104143
OpenAlexW4225115505

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.