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Peer-Review Record

Biometric Image-Analysis Techniques for Monitoring Chronic Neck Pain

Appl. Sci. 2024, 14(15), 6429; https://doi.org/10.3390/app14156429
by Wagner de Aguiar 1,*,†, José Celso Freire Junior 2, Guillaume Thomann 3,† and Gilberto Cuarelli 1
Reviewer 1:
Reviewer 3: Anonymous
Appl. Sci. 2024, 14(15), 6429; https://doi.org/10.3390/app14156429
Submission received: 23 May 2024 / Revised: 3 July 2024 / Accepted: 8 July 2024 / Published: 24 July 2024

Round 1

Reviewer 1 Report

Comments and Suggestions for Authors

Please see the attached file. 

Comments for author File: Comments.pdf

Comments on the Quality of English Language

Please see the attached file. 

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

Comments and Suggestions for Authors

 

  • The paper provides a noteworthy contribution in Biometric image analysis techniques for monitoring chronic neck pain. It is well written and the results are promising. There are some major concerns to be considered.

     

  • Please specify the actual camera-to-face distance. In line 151 a distance of 80 cm is mentioned while on line 79 it is 90 cm.
  • How do different camera qualities on laptops impact the accuracy of the system?
  • Are there any constraints in tracking in dim light or when the targets are patients with peculiar facial features?
  • Include a discussion on how this tool be integrated into existing physiotherapy workflows.

·        Provide more details on how the virtual graph paper (Figure 10) is calibrated to represent the same scale as the physical graph paper used in traditional CRT.

  • Consider comparing the accuracy and precision of your tool with traditional CRT methods.
  • Explain why, from various facial landmarks from MediaPipe, was the Nose Point chosen as the reference point?

 

 

Comments on the Quality of English Language

English proofreading is needed.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 3 Report

Comments and Suggestions for Authors

The authors developed a biometric image analysis technique for monitoring chronic neck pain. The manuscript must be modification before consideration for publication.

1. The introduction should be integrated to highlight the importance and novelty of each part. The previous works in this field should be discussed.

2. Some spelling mistakes should be revised. The English presentation should be improved, for example, “As far as the test itself is concerned, to capture data on the movements made 31 by the patient, he or she must wear a helmet equipped with a laser, which is directed 32 at a target (a piece of graph paper).” “This procedure requires precise equipment to be worn by the patient, customized installation in a dedicated area and, above all, a significant amount of post treatment time for the doctor to make his or her diagnosis.”

3. The permission for the re-used figure should be provided.

4. The conclusion is too simple, which should be re-written to summary the conclusion and importance of this work.

5. The cited references should be revised and updated.

Comments on the Quality of English Language

Some spelling mistakes should be revised. The English presentation should be improved, for example, “As far as the test itself is concerned, to capture data on the movements made 31 by the patient, he or she must wear a helmet equipped with a laser, which is directed 32 at a target (a piece of graph paper).” “This procedure requires precise equipment to be worn by the patient, customized installation in a dedicated area and, above all, a significant amount of post treatment time for the doctor to make his or her diagnosis.”

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Round 2

Reviewer 1 Report

Comments and Suggestions for Authors

This paper can be accepted. 

Reviewer 3 Report

Comments and Suggestions for Authors

The manuscript was improved after modification, but it should be submitted by using template word.

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