A wireless sensor system for a biofeedback training of hammer throwers

Hammer-throw has a long-standing history in track and field, but unlike some other sports events, men’s hammer throw has not seen a new world record since 1986. One of the possible reasons for this stagnation could be the lack of real-time biomechanical feedback training. In this study, we proposed to establish scientifically described training targets and routes, which in turn required tools that could measure and quantify characteristics of an effective hammer-throw. Towards this goal, we have developed a real-time biomechanical feedback device—a wireless sensor system—to help the training of hammer-throw. The system includes two sensors—an infrared proximity sensor for tracing the hip vertical movement and a load cell for recording the wire tension during a hammer-throw. The system uses XBees for data transmission and an Arduino processor for data processing and system control. The results revealed that the wire tension measurement could supply sufficient key features for coaches to analyze hammer-throw and give real-time feedback for improving training efficiency.

[1]  Ang Chen,et al.  Goals, Interests, and Learning in Physical Education , 2004 .

[2]  Rajeev Piyare,et al.  Performance Analysis of XBee ZB Module Based Wireless Sensor Networks , 2013 .

[3]  Bingjun Wan,et al.  Biomechanical modeling as a practical tool for predicting injury risk related to repetitive muscle lengthening during learning and training of human complex motor skills , 2016, SpringerPlus.

[4]  Hasmah Mansor,et al.  Body temperature measurement for remote health monitoring system , 2013, 2013 IEEE International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA).

[5]  Timothy D. Lee,et al.  Motor Control and Learning: A Behavioral Emphasis , 1982 .

[6]  Clare E. Milner,et al.  Real-Time Kinematic, Temporospatial, and Kinetic Biofeedback During Gait Retraining in Patients: A Systematic Review , 2010, Physical Therapy.

[7]  Bingjun Wan,et al.  The relevance of body positioning and its training effect on badminton smash , 2017, Journal of sports sciences.

[8]  Bilal Erman Bilgin,et al.  Performance evaluations of ZigBee in different smart grid environments , 2012, Comput. Networks.

[9]  Gongbing Shan,et al.  Bicycle kick in soccer: is the virtuosity systematically entrainable? , 2015 .

[10]  Gongbing Shan,et al.  HOW CAN DYNAMIC RIGID-BODY MODELING BE HELPFUL IN MOTOR LEARNING? - DIAGNOSING PERFORMANCE USING DYNAMIC MODELING , 2004 .

[11]  Gongbing Shan,et al.  HOW CAN DYNAMIC RIGID-BODY MODELING BE HELPFUL IN MOTOR LEARNING ? – LEARNING PERFORMANCE THROUGH DYNAMIC MODELING , 2005 .

[12]  Gongbing Shan,et al.  Full-body kinematic characteristics of the maximal instep soccer kick by male soccer players and parameters related to kick quality. , 2005, Sports biomechanics.

[13]  HeBingsheng,et al.  Sensor Placement and Measurement of Wind for Water Quality Studies in Urban Reservoirs , 2015 .

[14]  Liqiong Tang,et al.  Wireless network for health monitoring: heart rate and temperature sensor , 2011, 2011 Fifth International Conference on Sensing Technology.

[15]  E. R. Allred,et al.  Language Reference , 1997 .

[16]  Gongbing Shan,et al.  KAKO DINAMIČKO MODELIRANJE TIJELA KRUTIM SEGMENTIMA MOŽE POMOĆI U MOTORIČKOM UČENJU? - DIJAGNOSTIKA POKRETA POMOĆU DINAMIČKOG MODELIRANJA , 2004 .

[17]  Aiguo Song,et al.  A GPS-enabled wireless sensor network for monitoring radioactive materials , 2009 .

[18]  Gongbing Shan,et al.  Informing music teaching and learning using movement analysis technology , 2008 .

[19]  Kamin Whitehouse,et al.  Smart Blueprints: How Simple Sensors Can Collaboratively Map Out Their Own Locations in the Home , 2014, TOSN.

[20]  Mihai T. Lazarescu,et al.  Design of a WSN Platform for Long-Term Environmental Monitoring for IoT Applications , 2013, IEEE Journal on Emerging and Selected Topics in Circuits and Systems.

[21]  Manijeh Keshtgari,et al.  A Wireless Sensor Network Solution for Precision Agriculture Based on ZigBee Technology , 2012 .

[22]  Gongbing Shan,et al.  Anthropometrical data and coefficients of regression related to gender and race. , 2003, Applied ergonomics.

[23]  Bingsheng He,et al.  Optimal sensor placement and measurement of wind for water quality studies in urban reservoirs , 2015, IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks.

[24]  Gongbing Shan,et al.  Unraveling mysteries of personal performance style; biomechanics of left-hand position changes (shifting) in violin performance , 2015, PeerJ.