A Wireless Sensors Based Feedback System for Human Body Movement Practices

Tracking human body movements is a fundamental and complex problem. Recent times, body worn wireless sensors based systems are becoming effective tools to solve such complex problems. In this paper, we present a wireless sensor network based feedback system to assist training human body movements. We have designed an experimental system using Sun SPOT sensors to capture the movement and then analyze them to offer meaningful feedback to both the trainer and trainees. We conducted a limited number of experiments for some basic movements and the preliminary results are encouraging. The proposed wireless sensors based feedback system is simple, generic, efficient, cost effective, and user friendly. Therefore, it has the practical appeal.

[1]  Balakrishnan Ramadoss,et al.  Modeling and Annotating the Expressive Semantics of Dance Videos , 2010, ArXiv.

[2]  Chris Dwyer,et al.  Encoded multichromophore response for simultaneous label-free detection. , 2010, Small.

[3]  Hiroshi Tanaka,et al.  Equipment Operation by Motion Recognition with Wearable Wireless Acceleration Sensor , 2009, 2009 Third International Conference on Next Generation Mobile Applications, Services and Technologies.

[4]  Jörg Raisch,et al.  Control of FES-assisted gait training after stroke using inertial sensors , 2006 .

[5]  Teruaki Ito Walking Motion Analysis Using 3D Acceleration Sensors , 2008, 2008 Second UKSIM European Symposium on Computer Modeling and Simulation.

[6]  Joseph A. Paradiso,et al.  Sensemble: A Wireless, Compact, Multi-User Sensor System for Interactive Dance , 2006, NIME.

[7]  Rhonda Ryman,et al.  Applications of Computers to Dance , 2005, IEEE Computer Graphics and Applications.

[8]  Dariu Gavrila,et al.  The Visual Analysis of Human Movement: A Survey , 1999, Comput. Vis. Image Underst..

[9]  Bliss G. Carkhuff,et al.  Future Trends in Miniaturization for Wireless Applications , 2004 .

[10]  Payman Moallem,et al.  Feature Based Dense Stereo Matching using Dynamic Programming and Color , 2008 .

[11]  Tsutomu Terada,et al.  A Motion Recognition Method for a Wearable Dancing Musical Instrument , 2009, 2009 International Symposium on Wearable Computers.

[12]  Huosheng Hu,et al.  Human motion tracking for rehabilitation - A survey , 2008, Biomed. Signal Process. Control..

[13]  Tieniu Tan,et al.  Recent developments in human motion analysis , 2003, Pattern Recognit..

[14]  Huosheng Hu,et al.  Inertial sensors for motion detection of human upper limbs , 2007 .