2D Human Motion Regeneration with Stick Figure Animation Using Accelerometers
Commenced in January 2007
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Edition: International
Paper Count: 33122
2D Human Motion Regeneration with Stick Figure Animation Using Accelerometers

Authors: Alpha Agape Gopalai, S. M. N. Arosha Senanayake

Abstract:

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.

Keywords: Motion Regeneration, Virtual Instrumentation, Wireless Accelerometers.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1078249

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References:


[1] 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.
[2] 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.
[3] Joel A. Delisa, "Gait Analysis in the Science of Rehabilitation" DIANE Publishing.
[4] Abu Bakar, B. Amalus, "Real Time Soccer Gait Recognition Using Wireless Sensors and Vision System - Thesis Report", Monash University, Sunway Campus 2005.
[5] Chong, Vincent "Pattern Classification of a Soccer player-s action using wireless sensors - Thesis Report", Monash University, Sunway Campus, 2004.
[6] MicroStrain "Agile-Link 900MHz Data Communication Protocol, Version 4.0"
[7] Rod. Judson, "Bio-Mechanics of the Lawn Bowl Delivery Movement" June 2002.
[8] Bachmann, E.R., Xiaoping Yun, Brumfield, A. "Limitations of Attitude Estimation Algorithms for Inertial/Magnetic Sensor Modules", IEEE Robotics & Automation Magazine, September 2007.