Development of a wireless sensor network for use as an automated system for monitoring swimming starts

A wireless sensor network has been developed and used to monitor the important performance parameters pertaining to a swimmer’s start. The variables identified as important include time to back foot leaving the block, time to hip entry into the water, time to first kick, time to first stroke, number and rate of the underwater kick and stroke count and rate. These parameters were specified by the users (coaches, biomechanists and swimmers) of the system. The measurements were validated against the vision analysis system currently used during in-water training with the national swimming team. From the results, it can be suggested that the wireless sensor network can be used as an automated system for monitoring performance parameters considered of importance to the user during the swimming start.

[1]  Guang-Zhong Yang,et al.  Swimming Stroke Kinematic Analysis with BSN , 2010, 2010 International Conference on Body Sensor Networks.

[2]  Paul Conway,et al.  Development of a real time system for monitoring of swimming performance , 2010 .

[3]  Leszek A. Maciaszek,et al.  Requirements analysis and system design: developing information systems with UML , 2001 .

[4]  Andrew A. West,et al.  Kalman filter design for application to an INS analysing swimmer performance , 2010, 2010 18th European Signal Processing Conference.

[5]  Bruce Mason,et al.  SWIM START PERFORMANCES AT THE SYDNEY 2000 OLYMPIC GAMES , 2001 .

[6]  Brendan Burkett,et al.  Validity and reliability of kick count and rate in freestyle using inertial sensor technology , 2009, Journal of sports sciences.

[7]  L Seifert,et al.  Comparison of Grab Start between Elite and Trained Swimmers , 2010, International journal of sports medicine.

[8]  Tanya Le Sage.  A wireless sensor system for monitoring the motion of swimmers , 2012 .

[9]  Helio Roesler,et al.  KINEMATICAL ANALYSIS OF THE SWIMMING START: BLOCK, FLIGHT AND UNDERWATER PHASES , 2007 .

[10]  Barry D. Wilson.  Development in video technology for coaching , 2008 .

[11]  Paul Conway,et al.  The effect of start block configuration and swimmer kinematics on starting performance in elite swimmers using the Omega OSB11 block , 2011 .

[12]  L Seifert,et al.  Kinematical profiling of the front crawl start. , 2010, International journal of sports medicine.

[13]  Philippe Hellard,et al.  High-level swimmers' kinetic efficiency during the underwater phase of a grab start. , 2010, Journal of applied biomechanics.

[14]  Sian Slawson.  A novel monitoring system for the training of elite swimmers , 2010 .

[15]  T. Le Sage,et al.  Embedded programming and real-time signal processing of swimming strokes , 2011 .

[16]  Elias M. Stein,et al.  Fourier Analysis: An Introduction , 2003 .

[17]  H. Thode.  Testing For Normality , 2002 .

[18]  Rajat Mittal,et al.  A comparison of the kinematics of the dolphin kick in humans and cetaceans. , 2009, Human Movement Science.

[19]  Rebecca Mellifont,et al.  The influence of swimming start components for selected olympic and paralympic swimmers. , 2010, Journal of applied biomechanics.

[20]  Biomechanical Influence of Start Technique Preference for Elite Track Starters in Front Crawl , 2014 .

[22]  Andrew A. West,et al.  A Multi-sensor System for Monitoring the Performance of Elite Swimmers , 2010, ICETE.