Car-Sense: Vehicle Occupant Legacy Hazard Detection Method Based on DFWS
Round 1
Reviewer 1 Report
The present work deals with the validation of a Car-Sense, a lightweight integrated in-vehicle occupant sensing method based on ESP32-WiFi. The authors succeeded in demonstrating the robustness of the method even if future analysis is required using a more complex vehicle environment.
· The results presented in the section ‘Experimentation and Evaluation‘ need to be rewritten in a scientific and rigorous way. The parameters are defined ‘higher’, ‘smaller’, ‘the overall effect is better’ but no numerical results are shown (see page 11, 12, 13).
· The conclusion needs to be improved and should summarize the main scientific results achieved.
Author Response
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Author Response File: 
Author Response.docx
Reviewer 2 Report
1. The Figures's quality need to be improved, E.g., the character mark of indexs in all figures 2, 3, 6. Figure 12 are poor and hard to read. Figure 11, 13 with Chinese index.
2. What the comparisons of the advatages with the others existent works?
3. The major wonder of the proposed techniques is complicate, is it needed?
Author Response
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Author Response File: Author Response.docx
Reviewer 3 Report
dear Authors,
Overall, the manuscript is well-written and its impact is clear. I suggest some points to consider to improve your work:
1) The introduction could be expanded to include some applications of IoT in safety and field applications where optical sensors, microcontrollers, and wearable devices are used. There are commercial examples of sensors and IoT that are used in industry to detect personnel in line of interference in different environments such as in mining, construction, etc. One reference on this topic is https://doi.org/10.1002/aisy.202100099
2) Some details of the electronic components in the ESP32 development board could be added.
3) Please write full names of acronymns used in abstracts so readers can understand, such as CSI.
4) Fig 2 could be improved. At present, it is difficult to understand what is going on in this figure. The figure caption could be expanded. Table 1 caption needs to be re-written and some items in the table (Nodes) could be explained. The caption for Fig 4 could be elaborated as well.
5) One point that needs clarification is that infants will not move in the car. So how can the system detect this infant as the signal interference will not be there? Also, how is temperature information used in combination with the status of persons? Are there temperature sensors in-built in the ESP32?
Author Response
Please see the attachment.
Author Response File: Author Response.docx
Round 2
Reviewer 1 Report
Thank you very much for taking into considerations my suggestions.
Reviewer 2 Report
No
