Human Motion Regeneration in 2-Dimension as Stick Figure Animation with Accelerometers

This paper explores the opportunity of using tri-axial wireless accelerometers for supervised monitoring of sports movements. A motion analysis system for the upper extremities of lawn bowlers in particular is developed. Accelerometers are placed on parts of human body such as the chest to represent the shoulder movements, the back to capture the trunk motion, back of the hand, the wrist and one above the elbow, to capture arm movements. These sensors placement are carefully designed in order to avoid restricting bowler-s movements. Data is acquired from these sensors in soft-real time using virtual instrumentation; the acquired data is then conditioned and converted into required parameters for motion regeneration. A user interface was also created to facilitate in the acquisition of data, and broadcasting of commands to the wireless accelerometers. All motion regeneration in this paper deals with the motion of the human body segment in the X and Y direction, looking into the motion of the anterior/ posterior and lateral directions respectively.




References:
[1] A.A. Bakar, S.M.N.A Senanayake, R. Ganason, B.D. Wilson, "Pattern
Recognition in Gait Analysis", The Impact of Technology on Sports II,
Taylor & Francis, 2007
[2] Merryn J Mathie, Adelle C F Coster, Nigel H Lovell and Branko G
Celler, "Accelerometry: providing an integrated, practical method for
long-term, ambulatory monitoring of human movement", 2004 Physiol.
Meas. 25 R1-R20 doi:10.1088/0967-3334/25/2/R01.
[3] A. A. Gopalai and S.M.N.A Senanayake, "Real Time Instrumented
System for Gait Analysis" Computer, Communication and Control
Technologies (CCCT), Orlando, Florida, 2007.
[4] A. A. Bakar & S.M.N.A. Senanayake, "Intelligent System for Soccer
Gait Pattern Recognition" ", The Impact of Technology on Sports II,
Taylor & Francis, 2007
[5] S.M.N.A Senanayake, A.W.W. Yuen, B.D. Wilson, " Accelerometry in
Motion Analysis" ", The Impact of Technology on Sports II, Taylor &
Francis, 2007
[6] Abu Bakar, B. Amalus, "Real Time Soccer Gait Recognition Using
Wireless Sensors and Vision System - Thesis Report", Monash
University, Sunway Campus 2005.
[7] Chong, Vincent "Pattern Classification of a Soccer player-s action using
wireless sensors - Thesis Report", Monash University, Sunway Campus,
2004.
[8] Bachmann, E.R., Xiaoping Yun, Brumfield, A. "Limitations of Attitude
Estimation Algorithms for Inertial/Magnetic Sensor Modules", IEEE
Robotics & Automation Magazine, September 2007
[9] Rod. Judson, "Bio-Mechanics of the Lawn Bowl Delivery Movement"
June 2002.
[10] Joel A. Delisa, "Gait Analysis in the Science of Rehabilitation" DIANE
Publishing.
[11] MicroStrain "Agile-Link 900MHz Data Communication Protocol,
Version 4.0"
[12] Susan J. Hall, "Basic Biomechanics", Mcgraw Hill, 2003
[13] Steven C. Chapra, Raymond P. Canale "Numerical Methods for
Engineers" Mcgraw Hill, 2006