Journal of Sports Science and Medicine
Journal of Sports Science and Medicine
ISSN: 1303 - 2968   
Ios-APP Journal of Sports Science and Medicine
Androit-APP Journal of Sports Science and Medicine
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©Journal of Sports Science and Medicine ( 2015 ) 14 , 354 - 363

Research article
Estimation of Center of Mass Trajectory using Wearable Sensors during Golf Swing
Bijan Najafi1, , Jacqueline Lee-Eng1, James S. Wrobel2, Ruben Goebel3
Author Information
1 Interdisciplinary Consortium on Advanced Motion Performance (iCAMP), Department of Surgery, University of Arizona College of Medicine, Tucson, Arizona, USA
2 Metabolism, Endocrinology and Diabetes Division, University of Michigan, Medical School, Ann Arbor, MI, USA
3 Sport Science Program, Qatar University, Doha, Qatar

Bijan Najafi
✉ Interdisciplinary Consortium on Advanced Motion Performance (iCAMP), Department of Surgery, University of Arizona College of Medicine, Tucson, Arizona, USA
Email: najafi.bijan@gmail.com
Publish Date
Received: 14-08-2014
Accepted: 24-02-2015
Published (online): 01-06-2015
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ABSTRACT

This study suggests a wearable sensor technology to estimate center of mass (CoM) trajectory during a golf swing. Groups of 3, 4, and 18 participants were recruited, respectively, for the purpose of three validation studies. Study 1 examined the accuracy of the system to estimate a 3D body segment angle compared to a camera-based motion analyzer (Vicon®). Study 2 assessed the accuracy of three simplified CoM trajectory models. Finally, Study 3 assessed the accuracy of the proposed CoM model during multiple golf swings. A relatively high agreement was observed between wearable sensors and the reference (Vicon®) for angle measurement (r > 0.99, random error <1.2° (1.5%) for anterior-posterior; <0.9° (2%) for medial-lateral; and <3.6° (2.5%) for internal-external direction). The two-link model yielded a better agreement with the reference system compared to one-link model (r > 0.93 v. r = 0.52, respectively). On the same note, the proposed two-link model estimated CoM trajectory during golf swing with relatively good accuracy (r > 0.9, A-P random error <1cm (7.7%) and <2cm (10.4%) for M-L). The proposed system appears to accurately quantify the kinematics of CoM trajectory as a surrogate of dynamic postural control during an athlete’s movement and its portability, makes it feasible to fit the competitive environment without restricting surface type.

Key words: Wearable technology, golf swing, center of mass, dynamic postural control, balance, simplified biomechanical model of human body


           Key Points
  • This study demonstrates that wearable technology based on inertial sensors are accurate to estimate center of mass trajectory in complex athletic task (e.g., golf swing)
  • This study suggests that two-link model of human body provides optimum tradeoff between accuracy and minimum number of sensor module for estimation of center of mass trajectory in particular during fast movements.
  • Wearable technologies based on inertial sensors are viable option for assessing dynamic postural control in complex task outside of gait laboratory and constraints of cameras, surface, and base of support.
 
 
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