2D Human Motion Regeneration with Stick Figure Animation Using 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.
[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.
[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.
@article{"International Journal of Engineering, Mathematical and Physical Sciences:60986", author = "Alpha Agape Gopalai and S. M. N. Arosha Senanayake", title = "2D Human Motion Regeneration with Stick Figure Animation Using Accelerometers", 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.", volume = "2", number = "3", pages = "194-6", }