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Impact Position Estimation for Baseball Batting with a Force-Irrelevant Vibration Feature
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Impact Position Estimation for Baseball Batting with a Force-Irrelevant Vibration Feature

Wei-Han Chen, Yang-Chih Feng, Ming-Chia Yeh, Hsi-Pin Ma, Chiang LiuCheng-Wen Wu
Sensors (Basel, Switzerland), 卷.22(4), 1553
17/02/2022
PMID: 35214454
Web of Science ID: WOS:000764427200001

摘要

Chemistry Chemistry, Analytical Engineering, Electrical & Electronic Instruments & Instrumentation Science & Technology Engineering Physical Sciences Technology
In this work we propose a novel method for impact position estimation during baseball batting, which is independent of impact intensity, i.e., force-irrelevant. In our experiments, we mount a piezoelectric vibration sensor on the knob of a wooden bat to record: (1) 3600 vibration signals (waveforms) from ball-bat impacts in the static experiment-30 impacts from each of 40 positions (distributed 1-40 cm from the end of the barrel) and 3 intensities (drop heights at 75, 100, and 125 cm, resp.), and (2) 45 vibration signals from actual battings by three baseball players in the dynamic experiment. The results show that the peak amplitude of the signal in the time domain, and the peaks of the first, second, and third eigenfrequencies (EFs) of the bat all increase with the impact intensity. However, the ratios of peaks at these three EFs (1st/2nd, 2nd/3rd, and 1st/3rd) hardly change with the impact intensity, and the observation is consistent for both the static and dynamic experiments across all impact positions. In conclusion, we have observed that the ratios of peaks at the first three EFs are a force-irrelevant feature, which can be used to estimate the impact position in baseball batting.

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https://doi.org/10.3390/s22041553檢視
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