Punch Trackers: Correct Recognition Depends on Punch Type and Training Experience
Status PubMed-not-MEDLINE Language English Country Switzerland Media electronic
Document type Journal Article
PubMed
33922857
PubMed Central
PMC8123076
DOI
10.3390/s21092968
PII: s21092968
Knihovny.cz E-resources
- Keywords
- accelerometer, boxing, kickbox, mixed martial arts, validity,
- Publication type
- Journal Article MeSH
To determine the ability of different punch trackers (PT) (Corner (CPT), Everlast (EPT), and Hykso (HPT)) to recognize specific punch types (lead and rear straight punches, lead and rear hooks, and lead and rear uppercuts) thrown by trained (TR, n = 10) and untrained punchers (UNTR, n = 11), subjects performed different punch combinations, and PT data were compared to data from video recordings to determine how well each PT recognized the punches that were actually thrown. Descriptive statistics and multilevel modelling were used to analyze the data. The CPT, EPT and HPT detected punches more accurately in TR than UNTR, evidenced by a lower percentage error in TR (p = 0.007). The CPT, EPT, and HPT detected straight punches better than uppercuts and hooks, with a lower percentage error for straight punches (p < 0.001). The recognition of punches with CPT and HPT depended on punch order, with earlier punches in a sequence recognized better. The same may or may not have occurred with EPT, but EPT does not allow for data to be exported, meaning the order of individual punches could not be analyzed. The CPT and HPT both seem to be viable options for tracking punch count and punch type in TR and UNTR.
Department of Methodology and Statistics Maastricht University 6211 LK Maastricht The Netherlands
Faculty of Physical Education and Sport Charles University 16252 Prague Czech Republic
See more in PubMed
Kravitz L., Greene L., Burkett Z., Wongsathikun J. Cardiovascular Response to Punching Tempo. J. Strength Cond. Res. 2003;17:104–108. doi: 10.1519/00124278-200302000-00017. PubMed DOI
Cheema BS., Davies TB., Stewart M., Papalia S., Atlantis E. The feasibility and effectiveness of high-intensity boxing training versus moderate-intensity brisk walking in adults with abdominal obesity: A pilot study. BMC Sports Sci. Med. Rehabil. 2015;7:3. doi: 10.1186/2052-1847-7-3. PubMed DOI PMC
Buchheit M., Laursen P.B. High-intensity interval training, solutions to the programming puzzle: Part i: Cardiopulmonary emphasis. Sports Med. 2013;43:313–338. doi: 10.1007/s40279-013-0029-x. PubMed DOI
Milanović Z., Sporiš G., Weston M. Effectiveness of high-intensity interval training (hit) and continuous endurance training for VO2max improvements: A systematic review and meta-analysis of controlled trials. Sports Med. 2015;45:1469–1481. doi: 10.1007/s40279-015-0365-0. PubMed DOI
Laursen P., Buchheit M. Science and Application of High-Intensity Interval Training. 1st ed. Human Kinetics; Champaign, IL, USA: 2019. pp. 227–246.
Shepherd J.B., Thiel D.V., Espinosa H.G. Evaluating the use of inertial-magnetic sensors to assess fatigue in boxing during intensive training. IEEE Sens. Lett. 2017;1:1–4. doi: 10.1109/LSENS.2017.2689919. DOI
Worsey M.T.O., Espinosa H.G., Shepherd J.B., Thiel D.V. An evaluation of wearable inertial sensor configuration and supervised machine learning models for automatic punch classification in boxing. IoT. 2020;1:360–381. doi: 10.3390/iot1020021. DOI
Ishac K., Eager D. Evaluating martial arts punching kinematics using a vision and inertial sensing system. Sensors. 2021;21:1948. doi: 10.3390/s21061948. PubMed DOI PMC
Gatt I.T., Allen T., Wheat J. Accuracy and repeatability of wrist joint angles in boxing using an electromagnetic tracking system. Sports Eng. 2020;23:2. doi: 10.1007/s12283-019-0313-6. DOI
Worsey M., Espinosa H., Shepherd J., Thiel D. Inertial sensors for performance analysis in combat sports: A systematic review. Sports. 2019;7:28. doi: 10.3390/sports7010028. PubMed DOI PMC
Randell A.D., Cronin J.B., Keogh J.W.L., Gill N.D., Pedersen M.C. Effect of instantaneous performance feedback during 6 weeks of velocity-based resistance training on sport-specific performance tests. J. Strength Cond. Res. 2011;25:87–93. doi: 10.1519/JSC.0b013e3181fee634. PubMed DOI
Weakley J.J.S., Wilson K.M., Till K., Read D.B., Darall-Jones J., Roe G.A.B., Phibbs P.J., Jones B. Visual feedback attenuates mean concentric barbell velocity loss and improves motivation, competitiveness, and perceived workload in male adolescent athletes. J. Strength Cond. Res. 2019;33:2420–2425. doi: 10.1519/JSC.0000000000002133. PubMed DOI
Weakley J.J.S., Till K., Sampson J.A., Banyard H.G., Leduc C., Wilson K., Roe G., Jones B. The effects of augmented feedback on sprint, jump, and strength adaptations in rugby union players after a 4-week training program. IJSPP. 2019;14:1205–1211. doi: 10.1123/ijspp.2018-0523. PubMed DOI
Rupp M.A., Michaelis J.R., McConnell D.S., Smither J.A. The impact of technological trust and self-determined motivation on intentions to use wearable fitness technology. Proc. Hum. Factors Ergon. Soc. Annu. Meet. 2016;60:1434–1438. doi: 10.1177/1541931213601329. DOI
Aroganam G., Manivannan N., Harrison D. Review on wearable technology sensors used in consumer sport applications. Sensors. 2019;19:1983. doi: 10.3390/s19091983. PubMed DOI PMC
Piorkowski B.A., Lees A., Barton G.J. Single maximal versus combination punch kinematics. Sports Biomech. 2011;10:1–11. doi: 10.1080/14763141.2010.547590. PubMed DOI
Di Bacco V.E., Taherzadeh M., Birot O., Gage W.H. The effects of single versus multiple training sessions on the motor learning of two Krav Maga strike techniques, in women. PeerJ. 2020;8:e8525. doi: 10.7717/peerj.8525. PubMed DOI PMC
Validity of Commercially Available Punch Trackers