Next Article in Journal
Improving Lane Detection Performance for Autonomous Vehicle Integrating Camera with Dual Light Sensors
Next Article in Special Issue
Gender Neutralisation for Unbiased Speech Synthesising
Previous Article in Journal
An Improved Phase Deviation Discriminator for Carrier Synchronization of APSK Signal in Satellite-to-Ground Communication Systems
Previous Article in Special Issue
Advanced Fusion-Based Speech Emotion Recognition System Using a Dual-Attention Mechanism with Conv-Caps and Bi-GRU Features
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Electronics
Volume 11
Issue 9
10.3390/electronics11091473
Review Report
electronics-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
Article
Peer-Review Record

Machine Learning Models and Videos of Facial Regions for Estimating Heart Rate: A Review on Patents, Datasets, and Literature

Electronics 2022, 11(9), 1473; https://doi.org/10.3390/electronics11091473
by Tiago Palma Pagano 1,†, Victor Rocha Santos 1,†, Yasmin da Silva Bonfim 2,†, José Vinícius Dantas Paranhos 3,†, Lucas Lemos Ortega 4,†, Paulo Henrique Miranda Sá 4,†, Lian Filipe Santana Nascimento 5,†, Ingrid Winkler 6,† and Erick Giovani Sperandio Nascimento 6,*,†
Reviewer 1: Anonymous
Reviewer 3: Anonymous
Electronics 2022, 11(9), 1473; https://doi.org/10.3390/electronics11091473
Submission received: 28 March 2022 / Revised: 20 April 2022 / Accepted: 24 April 2022 / Published: 4 May 2022
(This article belongs to the Special Issue Human Emotion Recognition)

Round 1

Reviewer 1 Report

Dear Authors, 

It was very interesting work for me and I enjoyed reading it. I have no doubts that the work is valuable - it has scientific and educational value. 

Machine learning models are very actual please describe better this method for the readers in the section introduction.

 

Author Response

Dear Reviewer,

Thanks for your contributions. Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

Manuscript ID: 1677372

Manuscript title: Machine learning models and videos of facial regions for estimating heart rate: a Review on Patents, Datasets, and Literature

 

Dear editor/authors,

 

This is a well-designed and well-written paper reviewing patents and current evidence on facial analysis estimating heart rate. This paper has considerable potential to contribute to the relevant literature. Nevertheless, some points should be reviewed to strengthen the scientific merit and quality of the study.

1- Overall risk of bias of the publications included, should be briefly mentioned.

2- The time frame (years between…) of the searched publications and datasets should be given.

3- Future directions and recommendations should be given in more detail since this field of science has substantial potential to take effect in clinical practice.

4- Specific limitations inherent to the method should be presented.

Author Response

Dear Reviewer,

Thanks for your contributions. Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 3 Report

This is a review paper on facial regions recognition and it is linked with the heart rate. It is valuable in several aspects - not only with the critical review of the related works but also with the provided links to data sets.

The introduction needs a change - to make a smooth motivation and not only to give primarily definitions of key concepts.

Could any graphs be shown for the use cases?

 

 

Author Response

Dear Reviewer,

Thanks for your contributions. Please see the attachment.

Author Response File: Author Response.pdf

Round 2

Reviewer 3 Report

Thank you for improving the manuscript. The paper can be published now.

Back to TopTop