| Literature DB >> 34177114 |
Kouichi Nakamura1, Masaki Uchida1, Tomonori Sato1.
Abstract
[Purpose] To develop a quantitative motion analysis software specific to boxing (Fist Tactics Support) and to verify its effectiveness based on the percentage of hits that land on the participants. [Participants and Methods] A total of 24 male professional boxers were divided into two groups: those who used Fist Tactics Support to analyze fight videos and instituted training changes based on the results (Fist Tactics Support group, 12 participants) and those who did not (control group, 12 participants). The overall percentage of hits that landed on the participants in the fights was compared between the two groups and between pre- and post-intervention.Entities:
Keywords: Boxing; Development; Prevention of sports injuries
Year: 2021 PMID: 34177114 PMCID: PMC8219606 DOI: 10.1589/jpts.33.495
Source DB: PubMed Journal: J Phys Ther Sci ISSN: 0915-5287
Fig. 1.Analysis scene by FTS*.
*FTS is a software designed to quantitatively analyze athletic performance by importing match video into the software, setting analysis points according to the time axis, and inputting the type of attack, type of defense, part of the attack, and whether or not a hit was made.
Match interval and number of rounds
| Group | Match interval (months) | Number of rounds |
| FTS | 3.4 ± 0.6 | 5.2 ± 2.1 |
| Control | 3.6 ± 0.7 | 5.3 ± 1.8 |
FTS: Fist Tactics Support.
n=24, Mean ± Standard deviation.
Changes in the percentage of hits that landed with FTS use
| Group | Pre-intervention | Post-intervention |
| FTS | 35.8 ± 5.9 | 27.1 ± 4.6* |
| Control | 34.6 ± 7.2 | 35.6 ± 9.4 |
FTS: Fist Tactics Support.
Pre-intervention: before FTS use; Post-intervention: after FTS use.
n=24, units (%).
Mean ± Standard deviation *p<0.05.