A Smart Terrain Identification Technique Based on Electromyography, Ground Reaction Force, and Machine Learning for Lower Limb Rehabilitation
Round 1
Reviewer 1 Report
Overall, this is an interesting project to classify the angles of the floor with four sets of monitoring devices. This reviewer has some minor concerns.
1: Figure 5 is misleading because the normalized amplitudes in EMG are not in the same scale (a,b,c).
2: Was the angle of 5.2 degrees similar to the previous studies? If not, mention the background why this angle was determined.
3: As mentioned in the last para in section 3, walking in the elderly is significantly different from that in the young individuals, as in this study. Expand the discussion on potential differences of the results in the elderly.
4: In 2.1, the subjects were allowed to walk with their comfortable speed. Was there any difference of the data according to the walking speed? If the speed was not recorded, just discussion based on the previous papers would be fine.
Author Response
Please see the attachment.
Author Response File: 
Author Response.docx
Reviewer 2 Report
The abstract is correct. The introduction state the purpose of the paper. Article is interesting and valuable. The literature review is correct. The figures have proper aesthetics. The editorial preparation of article is poor. You should elongate the paragraph conclusions.
1.You sholud add some text below figure 2.
2.You should add some text between figure 4 and table 2.
3.You sholud improve quality of the equetions.
3. I think you should eliminate the company name (MathWorks, United States) from the text.
Author Response
Please see the attachment.
Author Response File: Author Response.docx
