Light-Weight, Self-Powered Sensor Based on Triboelectric Nanogenerator for Big Data Analytics in Sports
Round 1
Reviewer 1 Report
In this manuscript, the authors report a lightweight triboelectric self-powered sensor for big data analytics in table tennis training. The self-powered sensor is capable of harvesting the energy for the hit of the ping-pong ball and outputting electric signals. The collected output signals can be used to detect the hitting position and velocity, which is significant to assist athletes in training. This work is interesting and well-organized. I recommend this article should be accepted by the journal of Electronics after minor revisions as follows.
1. The authors call that the weight of the self-powered sensor is ~0.4 g. The size of this sensor also needs to be provided.
2. In Figure 4a, the authors show the relationship between the hitting velocity and voltage. How is the speed of table tennis controlled?
3. There is a typo in the legend of Figure 4 to be modified (page 7, line 205). The “integratin” should be changed to “integrating”.
Author Response
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Reviewer 2 Report
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Author Response
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