آمار

تعداد نشریات31
تعداد شماره‌ها440
تعداد مقالات3,905
تعداد مشاهده مقاله6,551,035
تعداد دریافت فایل اصل مقاله4,370,209
Takizadeh, Khaled, Bagherzadeh, Fazlollah, Sheikh, Mahmoud, Houminiyan Sharif Abadi, Davoud, Veisi, Hadi. (1402). The Application of Artificial Neural Network and Wearable Inertial Sensor in Kicking Skill Assessment.. سامانه مدیریت نشریات علمی, 8(1), 34-45. doi: 10.22098/jast.2024.2978
Khaled Takizadeh; Fazlollah Bagherzadeh; Mahmoud Sheikh; Davoud Houminiyan Sharif Abadi; Hadi Veisi. "The Application of Artificial Neural Network and Wearable Inertial Sensor in Kicking Skill Assessment.". سامانه مدیریت نشریات علمی, 8, 1, 1402, 34-45. doi: 10.22098/jast.2024.2978
Takizadeh, Khaled, Bagherzadeh, Fazlollah, Sheikh, Mahmoud, Houminiyan Sharif Abadi, Davoud, Veisi, Hadi. (1402). 'The Application of Artificial Neural Network and Wearable Inertial Sensor in Kicking Skill Assessment.', سامانه مدیریت نشریات علمی, 8(1), pp. 34-45. doi: 10.22098/jast.2024.2978
Takizadeh, Khaled, Bagherzadeh, Fazlollah, Sheikh, Mahmoud, Houminiyan Sharif Abadi, Davoud, Veisi, Hadi. The Application of Artificial Neural Network and Wearable Inertial Sensor in Kicking Skill Assessment.. سامانه مدیریت نشریات علمی, 1402; 8(1): 34-45. doi: 10.22098/jast.2024.2978

The Application of Artificial Neural Network and Wearable Inertial Sensor in Kicking Skill Assessment.

Journal of Advanced Sport Technology
دوره 8، شماره 1 - شماره پیاپی 16، خرداد 2024، صفحه 34-45    اصل مقاله (541.8 K)
نوع مقاله: Original research papers
شناسه دیجیتال (DOI): 10.22098/jast.2024.2978
نویسندگان
Khaled Takizadeh1؛ Fazlollah Bagherzadeh* 2؛ Mahmoud Sheikh2؛ Davoud Houminiyan Sharif Abadi3؛ Hadi Veisi4
1Department of Motor Behavior, Faculty of Physical Education and Sport Sciences, University of Tehran, Tehran, Iran
2Department of Motor Behavior, Faculty of Physical Education and Sport Sciences, University of Tehran, Tehran, Iran.
3Department of Motor Behavior, Faculty of Physical Education and Sport Sciences, University of Tehran, Tehran, Iran
4Department of Interdisciplinary Technology /Network Science and Technology, Faculty of New Sciences and Technologies, University of Tehran, Tehran, Iran.
چکیده
The trade-off between speed and accuracy in process-oriented tests of fundamental motor skills development has always been a challenge in motor development screening plans. Thus, this study was designed to evaluate the feasibility of using wearable inertial sensors (IMUs) based on artificial intelligence algorithms to assess kicking skill. Thirteen children aged 4 to 10 years (age = 8±1.37) (boys = 58%) participated in this study. The subjects were asked to do at least ten repetitions of the kicking skill according to the TGMD-3. Trials were captured with video recording and three wearable inertial sensors installed on the ankles and lower back. K-Nearest Neighbor artificial intelligence algorithms automatically classified the linear acceleration and angular velocity signals. The intraclass correlation coefficient (ICC) was calculated between expert scores and the artificial intelligence algorithm. All tests were done at a 95% confidence interval. The classification accuracy of the KNN algorithm (k=7) for kicking was 95%, ICC =0.90 (CI=0.86-0.95). The scoring time was reduced from 5 minutes per trial (in an expert-oriented way) to less than 30 seconds (using artificial intelligence). As a result, this method was a reliable and practical way to assess the fundamental motor skills. Also, by maintaining relative accuracy, it was possible to reduce test time for research, clinical, sports, and educational purposes.
کلیدواژه‌ها
TGMD3؛ Wearable Inertial Measurement Unit؛ Artificial Intelligence؛ Motor Development؛ Automatic Assessment
مراجع
  1. Cattuzzo MT, dos Santos Henrique R, Ré AHN, de Oliveira IS, Melo BM, de Sousa Moura M, et al. Motor competence and health related physical fitness in youth: A systematic review. Journal of science and medicine in sport. 2016;19(2):123-9.
  2. Engel AC, Broderick CR, van Doorn N, Hardy LL, Parmenter BJ. Exploring the relationship between fundamental motor skill interventions and physical activity levels in children: A systematic review and meta-analysis. Sports Medicine. 2018;48:1845-57.
  3. Lopes L, Silva Mota JAP, Moreira C, Abreu S, Agostinis Sobrinho C, Oliveira-Santos J, et al. Longitudinal associations between motor competence and different physical activity intensities: LabMed physical activity study. Journal of sports sciences. 2019;37(3):285-90.
  4. Barnett LM, Van Beurden E, Morgan PJ, Brooks LO, Beard JR. Childhood motor skill proficiency as a predictor of adolescent physical activity. Journal of adolescent health. 2009;44(3):252-9.
  5. Lloyd M, Saunders TJ, Bremer E, Tremblay MS. Long-term importance of fundamental motor skills: A 20-year follow-up study. Adapted physical activity quarterly. 2014;31(1):67-78.
  6. Mostafavi R, Ziaee V, Akbari H, Haji-Hosseini S. The effects of spark physical education program on fundamental motor skills in 4-6 year-old children. Iranian journal of pediatrics. 2013;23(2):216.
  7. Logan SW, Ross SM, Chee K, Stodden DF, Robinson LE. Fundamental motor skills: A systematic review of terminology. Journal of sports sciences. 2018;36(7):781-96.
  8. Bardid F, Vannozzi G, Logan SW, Hardy LL, Barnett LM. A hitchhiker’s guide to assessing young people’s motor competence: Deciding what method to use. Journal of science and medicine in sport. 2019;22(3):311-8.
  9. Barnett LM, Minto C, Lander N, Hardy LL. Interrater reliability assessment using the Test of Gross Motor Development-2. Journal of Science and Medicine in Sport. 2014;17(6):667-70.
  10. Barnett L, van Beurden E, Morgan PJ, Lincoln D, Zask A, Beard J. Interrater objectivity for field-based fundamental motor skill assessment. Research Quarterly for Exercise and Sport. 2009;80(2):363-8.
  11. Klavina A, Ostrovska K, Campa M. Fundamental movement skill and physical fitness measures in children with disabilities. European Journal of Adapted Physical Activity. 2017;10(1).
  12. Hartman E, Houwen S, Scherder E, Visscher C. On the relationship between motor performance and executive functioning in children with intellectual disabilities. Journal of Intellectual Disability Research. 2010;54(5):468-77.
  13. Ketcheson L, Hauck J, Ulrich D. The effects of an early motor skill intervention on motor skills, levels of physical activity, and socialization in young children with autism spectrum disorder: A pilot study. Autism. 2017;21(4):481-92.
  14. Dadgar H, Rad JA, Soleymani Z, Khorammi A, McCleery J, Maroufizadeh S. The relationship between motor, imitation, and early social communication skills in children with autism. Iranian journal of psychiatry. 2017;12(4):236.
  15. Mache MA, Todd TA. Gross motor skills are related to postural stability and age in children with autism spectrum disorder. Research in Autism Spectrum Disorders. 2016;23:179-87.
  16. Breslin CM, Robinson LE, Rudisill ME. The effect of picture task cards on performance of the test of gross motor development by preschool-aged children: a preliminary study. Early Child Development and Care. 2013;183(2):200-6.
  17. Wagner MO, Haibach PS, Lieberman LJ. Gross motor skill performance in children with and without visual impairments—Research to practice. Research in developmental disabilities. 2013;34(10):3246-52.
  18. Haibach-Beach PS. Determinants of gross motor skill performance in children with visual impairments. 2014.
  19. Westendorp M, Hartman E, Houwen S, Smith J, Visscher C. The relationship between gross motor skills and academic achievement in children with learning disabilities. Research in developmental disabilities. 2011;32(6):2773-9.
  20. Westendorp M, Hartman E, Houwen S, Huijgen BC, Smith J, Visscher C. A longitudinal study on gross motor development in children with learning disorders. Research in developmental disabilities. 2014;35(2):357-63.
  21. Yu J, Sit CH, Burnett A, Capio CM, Ha AS, Huang WY. Effects of fundamental movement skills training on children with developmental coordination disorder. Adapted physical activity quarterly. 2016;33(2):134-55.
  22. Bisi M, Stagni R. Complexity of human gait pattern at different ages assessed using multiscale entropy: from development to decline. Gait and posture. 2016;47:37-42.
  23. Ricci M, Terribili M, Giannini F, Errico V, Pallotti A, Galasso C, et al. Wearable-based electronics to objectively support diagnosis of motor impairments in school-aged children. Journal of biomechanics. 2019;83:243-52.
  24. Godfrey A, Lara J, Munro C, Wiuff C, Chowdhury S, Del Din S, et al. Instrumented assessment of test battery for physical capability using an accelerometer: a feasibility study. Physiological measurement. 2015;36(5):N71.
  25. Camomilla V, Bergamini E, Fantozzi S, Vannozzi G. Trends supporting the in-field use of wearable inertial sensors for sport performance evaluation: A systematic review. Sensors. 2018;18(3):873.
  26. Bisi M, Stagni R. Evaluation of toddler different strategies during the first six-months of independent walking: A longitudinal study. Gait and posture. 2015;41(2):574-9.
  27. Masci I, Vannozzi G, Bergamini E, Pesce C, Getchell N, Cappozzo A. Assessing locomotor skills development in childhood using wearable inertial sensor devices: the running paradigm. Gait and posture. 2013;37(4):570-4.
  28. Masci I, Vannozzi G, Getchell N, Cappozzo A. Assessing hopping developmental level in childhood using wearable inertial sensor devices. Motor control. 2012;16(3):317-28.
  29. Grimpampi E, Masci I, Pesce C, Vannozzi G. Quantitative assessment of developmental levels in overarm throwing using wearable inertial sensing technology. Journal of sports sciences. 2016;34(18):1759-65.
  30. Wang J, Xu J, Shull PB. Vertical jump height estimation algorithm based on takeoff and landing identification via foot-worn inertial sensing. Journal of biomechanical engineering. 2018;140(3):034502.
  31. Bisi MC, Panebianco GP, Polman R, Stagni R. Objective assessment of movement competence in children using wearable sensors: An instrumented version of the TGMD-2 locomotor subtest. Gait and Posture. 2017;56:42-8.
  32. Hajihosseini S, Sheikh M, GHaiur Najafabadi M, Houminiyan Sharif Abadi D, Veisi H, Bagherzadeh F. Automated Assessment of Developmental Stage of Overhand Throwing Skill. Journal of Advanced Sport Technology. 2022;6(2):99-111.
  33. Hajihosseini S, Sheikh M, Ghaiur Najafabadi M, Houminiyan Sharif Abadi D, Veisi H. Wearable Measurement Unit for Objective Assessment of Catching and Underhand Throwing Development. Journal of Advanced Sport Technology. 2023;7(1):33-44.
  34. Sarmad Z, Bazargan A, Hejazi E. Research methods in behavioral sciences. Tehran: Agah Publication. 2004;1:132-7.
  35. Sharifi HP, Sharifi N. Research methods in behavioral sciences. Tehran: Sohan Publications. 2001.
  36. Barnett LM, Van Beurden E, Morgan PJ, Brooks LO, Beard JR. Gender differences in motor skill proficiency from childhood to adolescence: A longitudinal study. Research quarterly for exercise and sport. 2010;81(2):162-70.
  37. Ulrich DA. Introduction to the special section: Evaluation of the psychometric properties of the TGMD-3. Journal of Motor Learning and Development. 2017;5(1):1-4.
  38. Webster EK, Ulrich DA. Evaluation of the psychometric properties of the test of gross motor development—third edition. Journal of Motor Learning and Development. 2017;5(1):45-58.
  39. Mohammadi F, Bahram A, Khalaji H, Ghadiri F. The validity and reliability of test of gross motor development–3rd edition among 3-10 years old children in Ahvaz. Jundishapur Scientific Medical Journal. 2017;16(4):379-91.
  40. Griffiths A, Toovey R, Morgan PE, Spittle AJ. Psychometric properties of gross motor assessment tools for children: a systematic review. BMJ open. 2018;8(10):e021734.
  41. Gesell A. The first five years of life: Harper and Brothers Publishers; 1940.
  42. Haubenstricker J, Seefeldt V. Acquisition of motor skills during childhood. Physical activity and well-being. 1986;1986:41-92.
  43. Wickstrom RL. Developmental kinesiology: Maturation of basic motor patterns. Exercise and sport sciences reviews. 1975;3(1):163-92.
  44. Haywood KM, Getchell N. The synergetic, probabilistic pathways of typical motor development. Understanding Motor Behaviour in Developmental Coordination Disorder. 2019:11-27.
  45. Kellis E, Katis A. Biomechanical characteristics and determinants of instep soccer kick. Journal of sports science and medicine. 2007;6(2):154.
  46. Lees A, Asai T, Andersen TB, Nunome H, Sterzing T. The biomechanics of kicking in soccer: A review. Journal of sports sciences. 2010;28(8):805-17.
  47. Dörge HC, Andersen TB, Sørensen H, Simonsen EB. Biomechanical differences in soccer kicking with the preferred and the non-preferred leg. Journal of sports sciences. 2002;20(4):293-9.
  48. Barfield WR, Kirkendall DT, Yu B. Kinematic instep kicking differences between elite female and male soccer players. Journal of sports science and medicine. 2002;1(3):72.
  49. Molina SL, Bott TS, Stodden DF. Applications of the speed–accuracy trade-off and impulse-variability theory for teaching ballistic motor skills. Journal of Motor Behavior. 2019;51(6):690-7.
  50. Roberton MA. Longitudinal evidence for developmental stages in the forceful overarm throw. Journal of Human Movement Studies. 1978;4(2):167-75.
  51. Lander N, Nahavandi D, Toomey NG, Barnett LM, Mohamed S. Accuracy vs. Practicality of Inertial Measurement Unit Sensors to Evaluate Motor Competence in Children. Frontiers in Sports and Active Living. 2022;4:917340.
 

 

 

 

 

 

آمار
تعداد مشاهده مقاله: 409
تعداد دریافت فایل اصل مقاله: 296


سامانه مدیریت نشریات علمی. قدرت گرفته از سیناوب