A review of motion capture systems for upper limb motion in throwing events: Inertial measurement unit

Nowadays, the need of motion capture of an athlete's movement be among the most significance studies in sport performance analysis. The motion capture involves the use of sensing technology to track and store the movement. Thus, this review was done to present the studies on motion capture of the upper limbs movement in throwing events of the track and field sport. The databases were collected throughout the electronic media such as the Google Scholar, ScienceDirect, and Scopus. From literature, it was found that IMUs technology is not widely used in motion capture for upper limbs movement in throwing events. However, this device has a huge benefit to improvise the athlete's performances as well as their skills and techniques.

[1]  Wolfram Burgard,et al.  A Wireless Micro Inertial Measurement Unit (IMU) , 2013, IEEE Transactions on Instrumentation and Measurement.

[2]  Hua Li,et al.  Acquiring the Distance Data with Inertial Measurement Unit in a Wearable Device for the Training of Hammer Throwers , 2018, 2018 14th International Conference on Computational Intelligence and Security (CIS).

[3]  John Kelley,et al.  A camera calibration method for a hammer throw analysis tool , 2014 .

[4]  Chen Feng,et al.  Upper limb motion tracking with the integration of IMU and Kinect , 2015, Neurocomputing.

[5]  Vesna Babić,et al.  Influence of kinematic parameters on result efficiency in javelin throw. , 2013, Collegium antropologicum.

[6]  Lawrence Wai-Choong Wong,et al.  Ubiquitous Human Upper-Limb Motion Estimation using Wearable Sensors , 2011, IEEE Transactions on Information Technology in Biomedicine.

[7]  Basilio Pueo,et al.  Application of motion capture technology for sport performance analysis , 2017 .

[8]  A K Ghosh,et al.  Pre-Asiad '82 injuries in elite Indian athletes. , 1985, British journal of sports medicine.

[9]  Luis Marqués Molías,et al.  Pre-service Physical Education Teachers’ self-management ability: a training experience in 3D simulation environments , 2016 .

[10]  Carmen C. Y. Poon,et al.  Editorial Note on Biomedical and Health Informatics , 2011, IEEE Trans. Inf. Technol. Biomed..

[11]  Andrew D. Wiles,et al.  Accuracy assessment protocols for elektromagnetic tracking systems , 2003, CARS.

[12]  Hua Li,et al.  Obtaining Vital Distances Using Wearable Inertial Measurement Unit for Real-Time, Biomechanical Feedback Training in Hammer-Throw , 2018, Applied Sciences.

[13]  Steve Leigh,et al.  Individualized optimal release angles in discus throwing. , 2010, Journal of biomechanics.

[14]  Biswajit Acharyya,et al.  A Study of Kinematic Release Parameters of Male and Female Shot Putters , 2017 .

[15]  Daniel Dinu,et al.  Preliminary study of Accuracy and reliability of high-speed human-motion tracking using miniature inertial sensors , 2012 .

[16]  Carlo Alberto Avizzano,et al.  A novel 7 degrees of freedom model for upper limb kinematic reconstruction based on wearable sensors , 2013, 2013 IEEE 11th International Symposium on Intelligent Systems and Informatics (SISY).

[17]  Almir Atiković,et al.  How Kinematics Influences Shot Put Results in Track and Field of International Level Athletes (a Case Study) , 2018 .

[18]  Wilko Schaa.  Biomechanical Analysis of the Shot Put at the 2009 IAAF World Championships in Athletics , 2010 .

[19]  Tao Liu,et al.  Gait Analysis Using Wearable Sensors , 2012, Sensors.

[20]  Sara M. Brice,et al.  Use of inertial measurement units for measuring torso and pelvis orientation, and shoulder–pelvis separation angle in the discus throw , 2018 .

[21]  Christopher Verplaetse,et al.  Inertial Proprioceptive Devices: Self-Motion-Sensing Toys and Tools , 1996, IBM Syst. J..

[22]  Andrzej Wit,et al.  Transfer of mechanical energy during the shot put , 2016, Journal of human kinetics.

[23]  Ling Shao,et al.  Recent advances and trends in visual tracking: A review , 2011, Neurocomputing.