Preliminary Design of Smart Glove with the Ability to Vibration Measuring System in Shooters

Document Type : Sport Technology News

Authors

1 Department of Sports Biomechanics, Faculty of Educational Sciences and Psychology, University of Mohaghegh Ardabili, Ardabil, Iran.

2 Department of Physical Education and Sport Sciences, Faculty of Educational Science and Psychology, University of Mohaghegh Ardabili, Ardabil, Iran.

Abstract

The purpose of this exploratory study was to Preliminary Design of Smart Glove with the Ability to Vibration Measuring System in Shooters. In this Smart glove, four sensors with the ability to vibration measuring are placed on the proximal band of the index finger, middle finger, wrist and deltoid, respectively. In this exploration were used vibration sensor model SW-18010P with dimensions of 14x14 mm. Furthermore, the device has the ability to save data on a Micro SD card. The device software is written with the programming language C. Lithium Polymer batteries (LiPo Battery) is a small sized, little weight and rechargeable battery. The data recorded in each time period were saved and transferred to the researcher's mobile via Bluetooth. Bluetooth is a wireless technology standard for exchanging data over specific distances. This Bluetooth module can achieve serial wireless data transmission between microcontroller with the mobile or computer system the glove. It's a small DC motor. The primary function of the vibration motor is to inform the users of receiving the signal by vibrating. Vibrating motors represents dots in braille system. Upon receiving a character, the pattern of vibrating represents the character in braille system. The commutation points are arranged in alternating polarity pairs, so as the rotor moves; the coils are constantly reversing polarity as they pass over commutation points. In this way, the motor continually rotates, and at a speed that is proportional to the applied voltage. It seems that coaches and athletes can be useful by discovering information about shooters' hand tremors during shooting and providing a suitable training program to improve the shooting quality of athletes.

Keywords

Main Subjects

References

  1. Lo Presti D, Romano C, Massaroni C, D’Abbraccio J, Massari L, Caponero MA, et al. Cardio-respiratory monitoring in archery using a smart textile based on flexible fiber Bragg grating sensors. Sensors. 2019;19(16):3581.
  2. Simsek D, Cerrah A, Ertan H, Soylu A. A comparison of the ground reaction forces of archers with different levels of expertise during the arrow shooting. Science & sports. 2019;34(2):e137-e45.
  3. Sarro KJ, Viana TDC, De Barros RML. Relationship between bow stability and postural control in recurve archery. European journal of sport science. 2021;21(4):515-20.
  4. Tan SL, Koh KT, Kokkonen M. The perception of elite athletes’ guided self-reflection and performance in archery. Reflective Practice. 2016;17(2):207-20.
  5. Kim D-K. The effects of the upright body type exercise program on body balance and record of archers. 2018;28(1):9-18.
  6. Ball K, Best R, Wrigley T. Body sway, aim point fluctuation and performance in rifle shooters: inter-and intra-individual analysis. Journal of sports sciences. 2003;21(7):559-66.
  7. Mononen K, Konttinen N, Viitasalo J, Era P. Relationships between postural balance, rifle stability and shooting accuracy among novice rifle shooters. Scandinavian journal of medicine & science in sports. 2007;17(2):180-5.
  8. Hrysomallis C. Balance ability and athletic performance. Sports medicine. 2011;41:221-32.
  9. Karmali F, Goodworth AD, Valko Y, Leeder T, Peterka RJ, Merfeld DM. The role of vestibular cues in postural sway. Journal of neurophysiology. 2021;125(2):672-86.
  10. Chiba R, Takakusaki K, Ota J, Yozu A, Haga N. Human upright posture control models based on multisensory inputs; in fast and slow dynamics. Neuroscience research. 2016;104:96-104.
  11. Croix G, Chollet D, Thouvarecq R. Effect of expertise level on the perceptual characteristics of gymnasts. The Journal of Strength & Conditioning Research. 2010;24(6):1458-63.
  12. Ihalainen S, Kuitunen S, Mononen K, Linnamo V. Determinants of elite‐level air rifle shooting performance. Scandinavian journal of medicine & science in sports. 2016;26(3):266-74.
  13. Paillard T, Noé F. Effect of expertise and visual contribution on postural control in soccer. Scandinavian journal of medicine & science in sports. 2006;16(5):345-8.
  14. Lamont HS, Cramer JT, Bemben DA, Shehab RL, Anderson MA, Bemben MG. Effects of a 6-week periodized squat training with or without whole-body vibration upon short-term adaptations in squat strength and body composition. The Journal of Strength & Conditioning Research. 2011;25(7):1839-48.
  15. Wilcock IM, Whatman C, Harris N, Keogh JW. Vibration training: could it enhance the strength, power, or speed of athletes? The Journal of Strength & Conditioning Research. 2009;23(2):593-603.
  16. Pluhar E, McCracken C, Griffith KL, Christino MA, Sugimoto D, Meehan III WP. Team sport athletes may be less likely to suffer anxiety or depression than individual sport athletes. Journal of sports science & medicine. 2019;18(3):490.
  17. Naranjo-Hernández D, Roa LM, Reina-Tosina J, Barbarov-Rostan G, Galdámez-Cruz O. Smart device for the determination of heart rate variability in real time. Journal of Sensors. 2017;2017.
  18. Zhao Y, You Y. Design and data analysis of wearable sports posture measurement system based on Internet of Things. Alexandria Engineering Journal. 2021;60(1):691-701.
  19. Tang W-T, Zhang W-Y, Huang C-C, Young M-S, Hwang I-S. Postural tremor and control of the upper limb in air pistol shooters. Journal of sports sciences. 2008;26(14):1579-87.
  20. Hossein S, Zahra H, Seyed RAH. Comparative analysis of competitive state anxiety among team sport and individual sport athletes in Iran. Физическое воспитание студентов. 2016(5):57-61.
  21. Guembe IP, Lopez-Iturri P, Astrain JJ, Aguirre E, Azpilicueta L, Celaya-Echarri M, et al. Basketball player on-body biophysical and environmental parameter monitoring based on wireless sensor network integration. IEEE Access. 2021;9:27051-66.
  22. Kaaresoja T, Linjama J, editors. Perception of short tactile pulses generated by a vibration motor in a mobile phone. First joint eurohaptics conference and symposium on haptic interfaces for virtual environment and teleoperator systems World haptics conference; 2005: IEEE.
  23. Tomor N, Shah MM. Comparison of competitive state anxiety among senior boys and senior girls Archery players in India. International journal of physical education, sports and health. 2015;1:43-5.
  24. Horvath E, Kovacs MT, Toth D, Toth L. A study of the relationship between anxiety, cognitive emotion regulation and heart rate variability in athletes. Journal of physical education and sport. 2022;22(2):528-34.
  25. Qiu Y, Zhu X, Lu J. Fitness monitoring system based on internet of things and big data analysis. IEEE Access. 2021;9:8054-68.
  26. Snyder C, Martínez A, Jahnel R, Roe J, Stöggl T. Connected skiing: Motion quality quantification in alpine skiing. Sensors. 2021;21(11):3779.
  27. Erdoğan M, Sağıroğlu İ, Şenduran F, Ada M, Ateş O. An investigation of the relationship between hand grip strength and shooting performance of elite shooters. İÜ Spor Bilimleri Dergisi. 2016;6(3):1303-414.

 

Journal of Advanced Sport Technology
Volume 9, Issue 4
December 2025
Pages 17-24

Files

History

  • Receive Date: 01 February 2024
  • Revise Date: 14 August 2024
  • Accept Date: 21 January 2025

Share

How to cite

Statistics