Validation of a Bat Handle Sensor for Measuring Bat Velocity, Attack Angle, and Vertical Angle

Ethan Stewart, Megan Stewart, Sachini N. K. Kodithuwakku Arachchige, Alana Turner, Reuben F. Burch V, Adam Knight, Josh Johnson, Tyler Younger, Harish Chander

Abstract


Background: Bat velocity, attack angle, and vertical angle are common variables that coaches and players want to evaluate during their baseball or softball swing. Objective: The purpose of this study was to investigate and validate a baseball bat handle sensor against motion capture using recreational baseball and softball athletes for bat velocity, attack angle, and vertical angle. Methods: This single visit cross-sectional experimental design study utilized eighteen recreational baseball and softball players (ten males and eight females, age: 20.70 ± 1.69 years, height: 170.74 ± 5.69 cm, weight: 77.97 ± 12.30 kg) were recruited. Bat velocity, attack angle, and vertical angle from the bat handle sensor and 12-camera motion capture system were collected and compared using a two-tailed paired t-test. Results: Differences were statistically significant, showing that 95% of the time, the bat handle sensor overestimated the bat velocity by 1.92 to 2.77 m/s, underestimated the attack angle by -3.46 to -1.96º, and overestimated the vertical angle by 1.64 to 3.21º, compared to the motion capture system. Conclusion: The bat velocity and vertical angle were overestimated, while the attack angle was underestimated by the bat sensor. The information presented in this study can be viable information for coaches and players when utilizing the baseball bat handle sensor technology for training, practice, or in-game situations.

Keywords


Baseball, Softball, Hitting, Accuracy, Technology

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References


Aguinaldo, A. (2016). Baseball bat swing sensor validation. Center for Human Performance, 1-5.

Bailey, C. A., McInnis, T. C., & Batcher, J. J. (2016). Bat swing mechanical analysis with an inertial measurement unit: reliability and implications for athlete monitoring. Journal of Trainology, 5(2), 43-45. http://dx.doi.org/10.17338/trainology.5.2_43.

Brown, C., Holland, A., Delarosa, J., Doude, M., Reimann, W., Rath, T., & Piroli, A. (2020). Comprehension and Selective Visual Attention in Play-calling Signage in NCAA Division 1 Football: A Comprehensive Literature Review. International Journal of Kinesiology and Sports Science, 8(3), 1-13. http://dx.doi.org/10.7575/aiac.ijkss.v.2n.1p.1.

Burch, R. F. (2019). Technology Arms Race: A Story About Wearables, Athletics, and Trust. NEXUS: A Magazine by NSPARC at Mississippi State University, Spring, 2-7. Accessed via: https://www.nsparc.msstate.edu/wp-content/uploads/2019/04/NEXUS-SPRING-SCREEN-SPREAD.pdf.

Chander, H., Stewart, E., Saucier, D., Nguyen, P., Luczak, T., Ball, J. E., Turner, A. J., Kodithuwakku Arachchige, S. N. K., Carroll, W., Smith, B. K, Knight, A. C., & Prabhu, R. K. (2019). Closing the wearable gap—part III: use of stretch sensors in detecting ankle joint kinematics during unexpected and expected slip and trip perturbations. Electronics, 8(10), 1083. https://doi.org/10.3390/ijerph17103554.

Dowling, B., & Fleisig, G. S. (2016). Kinematic comparison of baseball batting off of a tee among various competition levels. Sports biomechanics, 15(3), 255-269. http://dx.doi.org/10.1080/14763141.2016.1159320.

Escamilla, R. F., Fleisig, G. S., DeRenne, C., Taylor, M. K., Moorman, C. T., Imamura, R., Barakatt, E., & Andrews, J. R. (2009a). A comparison of age level on baseball hitting kinematics. Journal of applied biomechanics, 25(3), 210-218. http://dx.doi.org/10.1123/jab.25.3.210.

Escamilla, R. F., Fleisig, G. S., DeRenne, C., Taylor, M. K., Moorman, C. T., Imamura, R., Barakatt, E., & Andrews, J. R. (2009b). Effects of bat grip on baseball hitting kinematics. Journal of applied biomechanics, 25(3), 203-209. http://dx.doi.org/10.1123/jab.25.3.203.

Stewart, E., Stewart, M., Simpson, J., Knight, A., Chander, H., & Shapiro, R. (2020). Sequential order of swing phase initiation in baseball. Journal of Sports Analytics, 6(3), 199-204. http://dx.doi.org/10.3233/JSA-200394.

Raja Hussain, R. N. J., Kee, K. M., Mohd Razman, R., Ismail, S. I., Shari, M., Mohd Idris, N., Abdul Razak, R., & Mohamed Kassim, N. A. (2019). Reliability of Zepp baseball on batting velocity. Malaysian Journal of Sport Science and Recreation, 15(1), 21-29.

Inkster, B., Murphy, A., Bower, R., & Watsford, M. (2010). Differences in the kinematics of the baseball swing between hitters of varying skill. Journal of Science and Medicine in Sport, 12, e12-e13. http://dx.doi.org/10.1016/j.jsams.2009.10.027.

King, K., Hough, J., McGinnis, R., & Perkins, N. C. (2012). A new technology for resolving the dynamics of a swinging bat. Sports Engineering, 15(1), 41-52. http://dx.doi.org/10.1007/s12283-012-0084-9.

King, M. E., Miller, S., Reimann, W., Shalala, J., Piroli, A., Bichey, C., & Rath, T. (2021). Quantification of Information Transmission in Signal Play-calling for NCAA Division 1 College Football: A Comprehensive Literature Review. International Journal of Kinesiology and Sports Science, 9(1), 24-35. http://dx.doi.org/10.7575/aiac.ijkss.v.9n.1p.24.

Lawrence, I., & Lin, K. (1989). A concordance correlation coefficient to evaluate reproducibility. Biometrics, 255-268.

Li, R. T., Kling, S. R., Salata, M. J., Cupp, S. A., Sheehan, J., & Voos, J. E. (2016). Wearable performance devices in sports medicine. Sports health, 8(1), 74-78. http://dx.doi.org/10.1177/1941738115616917.

Lückemann, P., Haid, D. M., Brömel, P., Schwanitz, S., & Maiwald, C. (2018). Validation of an Inertial Sensor System for Swing Analysis in Golf. In Multidisciplinary Digital Publishing Institute Proceedings (Vol. 2, No. 6, p. 246). http://dx.doi.org/10.3390/proceedings2060246.

Luczak, T., Burch, R., Lewis, E., Chander, H., & Ball, J. (2020). State-of-the-art review of athletic wearable technology: What 113 strength and conditioning coaches and athletic trainers from the USA said about technology in sports. International Journal of Sports Science & Coaching, 15(1), 26-40. https://doi.org/10.1177/1747954119885244.

Luczak, T., Smith, B., Lamberth, J., Carruth, D., Crane, C., Hoppa, M., & Burgos, B. (2020). Perception of Comfort, Fit, and Jumping Performance of Elite NCAA Division 1 Student-athletes: The Effect of Basketball Shoe Design–Part II. International Journal of Kinesiology and Sports Science, 8(3), 45-57. http://dx.doi.org/10.7575/aiac.ijkss.v.8n.3p.45.

Luczak, T., Saucier, D., Burch V, R. F., Ball, J. E., Chander, H., Knight, A., ... & Iftekhar, T. (2018). Closing the wearable gap: Mobile systems for kinematic signal monitoring of the foot and ankle. Electronics, 7(7), 117. https://doi.org/10.3390/electronics7070117.

Lyu, B., & Smith, L. V. (2018). Evaluation of wireless bat swing speed sensors. Sports Engineering, 21(3), 229-234. http://dx.doi.org/10.1007/s12283-017-0224-3.

McBride, G. B. (2005). A proposal for strength-of-agreement criteria for Lin’s concordance correlation coefficient. NIWA client report: HAM2005-062, 62.

Steichen, T. J., & Cox, N. J. (2002). A note on the concordance correlation coefficient. The Stata Journal, 2(2), 183-189. http://dx.doi.org/10.1177/1536867X0200200206.




DOI: http://dx.doi.org/10.7575/aiac.ijkss.v.9n.2p.28

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