Browse > Article
http://dx.doi.org/10.15207/JKCS.2020.11.2.271

A Study of Dynamic Motion Analysis Device for Free Weight Exercise  

Rahman, Mustafizur (Dept. of Biomedical Eng., Nambu University)
Park, Ju-hoon (Division. of Electrical Eng., Nambu University)
Kim, Ji-won (Dept. of Physical Therapy, Nambu University)
Jeong, Byeong-Ho (Division. of Electrical Eng., Nambu University)
Publication Information
Journal of the Korea Convergence Society / v.11, no.2, 2020 , pp. 271-279 More about this Journal
Abstract
Squats and lunges are important exercises for strengthening the trunk and lower body among various free weight exercises. It should be achieved safe and effective excise through establishing of theoretical basis for exercise posture and standard movement. Therefore, it's necessary to develop the exercise model in order to prepare the scientific countermeasures for the prevent injuries and error movement through optimal exercise movement. For this purpose, it is effective to use appropriate instruments for motion compensation according to the optical motion and error motion. In this paper, we develop a motion model analysis system based on dynamic motion through the four-point load cell for dynamic motion analysis. Proposed analytical method, the optimal and the error motion numerical data is obtained through the dynamic motion analysis. And we verified that dynamic movement is simplified to establish the motion modeling according to the classification motion and the numerical quantification data for analyzing.
Keywords
Exercise model; Filter; Freeweight; Lunge; Loadcell; Squat;
Citations & Related Records
Times Cited By KSCI : 9  (Citation Analysis)
연도 인용수 순위
1 M. F. A. Hassan, M. A. Zulkifley & A. Hussain. (2015). Hassan, M. F. A., Zulkifley, M. A., & Hussain, A. (2015). Squat exercise abnormality detection by analyzing joint angle for knee osteoarthritis rehabilitation, Journal Teknologi(Sciences & Engineering), 72(1), 1-6.
2 C. Chen, R. Jafari & N. Kehtarnavaz. (2015). A real-time human action recognition system using depth and inertial sensor fusion. IEEE Sensors Journal, 16(3), 773-781.   DOI
3 J. G. Webster. (2010). Medical Instrumentation application and design, 4th Edition. Hoboken. John Wiley & Sons.
4 R. Bartlett. (2007). Introduction to Sports Biomechanics, Analysing Human Movement Patterns, 2nd Edition. New York. Routledge.
5 R. Drillis, R. Contini & M. Bluestein. (1964). Body Segment Parameters. A Survey of Measurement Techniques, 8(1), 44-66.
6 J. Karki. (2002). Active Low-Pass Filter Design. Dallas : Texas Instruments.
7 B. G. Jung, J. W. Kim & B. H. Jeong. (2017). A Study of Structural Analysis Simulation for Squat Excise Foot Plate. Journal of The Korea Convergence Society, 8(9), 365-372. DOI : 10.15207/JKCS.2017.8.9.365   DOI
8 B. J. Schoenfeld. (2010). Squatting Kinematics and Kinetics and Their Application to Exercise Performance. J. of Strength and Conditioning Research, 24(12), 3497-3506.   DOI
9 B. H. Jeong, J. H. Park & J. W. Kim. (2018). A Study of the design method for Interactive squat exercise Instrument. Journal of the Korea Convergence Society, 9(2), 303-311. DOI : 10.15207/JKCS.2018.9.2.303   DOI
10 D. Whelan, M. O'Reilly, T. Ward, E. Delahunt & B. Caulfield. (2016, May). Evaluating Performance of the Lunge Exercise with Multiple and Individual Inertial Measurement Units. Pervasive Health. (pp. 17-19). cancun : EAI.
11 J. C. Walsh et al. (2007). Three-dimensional Motion Analysis of the Lumbar Spine During "Free Squat" Weight Lift Training. The American Journal of Sports Medicine, 35(6), 927-932.   DOI
12 M. Clark & S. Lucett. (2010). NASM essentials of corrective exercise training. Baltimore : Lippincott Williams & Wilkins.
13 A. Kian & M. Gohari. (2013). Designing and manufacturing a force plate specified for observing balance disabilities. European Journal of Experimental Biology, 3(4), 216-222.
14 S. H. Cho & S. Y. Lee. (2016). A Effect of the Squat Convergence Exercise Among Knee Joint Angle on Quadricpes Strength in the Patients With Patellofemoral Pain Syndrome. Journal of The Korea Convergence Society, 7(2), 43-52. DOI : 10.15207/JKCS.2016.7.2.043   DOI
15 S. G. Back. (2016). Effects of Using Convergence Circuit Weight Training on the Blood Lipids and Oxygen-carrying Factors in Middle-aged Women. Journal of The Korea Convergence Society, 7(6), 267-274. DOI : 10.15207/JKCS.2016.7.6.267   DOI
16 M. Rahman. (2019). A Study of Motion Analysis for Free Weight Exercise Using Foot Plate. Master's thesis. Nambu University, Gwangju.
17 J. Macek & J. Kleindienst. (2011, September). Exercise Support System for Elderly: Multi-sensor Physiological State Detection and Usability Testing. Human-Computer Interaction -INTERACT 2011. (pp. 81-88). Lisbon : Springer.
18 B. H. Jeong, J. H. Park & J. W. Kim. (2018). A Study of the design method for Interactive squat exercise Instrument. Journal of the Korea Convergence Society, 9(2), 303-311. DOI : 10.15207/JKCS.2018.9.2.303   DOI
19 L. Li, M. W. Olson & J. B. Winchester. (2008). A Proposed Method for Determining Peak Power in the Jump Squat Exercise. Journal of Strength & Conditioning Research, 22(2), 326-331.   DOI