Study on Elevator Recognition Techniques for Upper-Limb-Disabled Wheelchair Users

Round 1

Reviewer 1 Report

Authors have presented a "Study on Elevator Recognition Techniques for Upper Limb 2 Disabled Wheelchair Users" . the following points need to address

1. How the angular angle is improved?

2. Angular resolution is 0.9 degree as mentioned in the table ; how to make precise  value ? justify

3. What is uniqueness of this article? must be mentioned  after the literature survey.

4. What are limitations of this proposed work?

5. Can we improve distance range of sensor? justify 

check grammatical error and typos mistakes

Author Response

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Author Response File: Author Response.pdf

Reviewer 2 Report

This paper presented a solution of LiDAR sensor to prevent collisions. Some following problems need to be added for improving the content of this submission.

1. Although this submission proposed a solution of LiDAR sensor to prevent collisions, but it lacks theoretical analysis and the Proof of this solution. Please give some addtional contents ?
2. Some comparisons need to be given for highliting the contribution, such as between "Identify" in Fig.7 and Disturbance Observer in https://www.sciencedirect.com/science/article/abs/pii/S0019057822001495; https://ieeexplore.ieee.org/abstract/document/1372532

Some the connected words (Hence, Therefore, Moreover, etc) should be added to this article to obtain the clearance. 

Author Response

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Author Response File: Author Response.pdf

Reviewer 3 Report

This paper proposed a LiDAR sensor-based elevator recognition technique to prevent collisions caused by poor operation and cognitive decline of wheelchair users with upper limb disabilities. The comments are given as following :

1. What is sigma in eq. (3) ?

2. Elevator detection algorithm is too simple. The AI method is suggested to     be provided.

3. Some AI metrics indices should be described to show the performance of the proposed method.

4. Refs. (28) and (29) related this study have to be introduced compactly.

5. The comparisions of the results vs. computer vision method may be given.

Author Response

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Author Response File: Author Response.pdf

Round 2

Reviewer 3 Report

No more comments.

No.