A Mobile Low-Cost Motion Capture System Based on Accelerometers

Low-cost accelerometers can be employed to create a motion-capture solution for below US$ 100. It may be used in mobile settings employing a portable digital recording device to capture the analog data of 15 degrees of freedom. The solution is integrated with standard 3D animation software. We introduce methods to extract and tweak kinematical as well as timing data from these acceleration sensors, which are attached to an actor's limbs. These methods take care of the fact that the measured acceleration data alone can neither provide complete nor accurate information to satisfactorily reconstruct the captured motion. Particular emphasis is placed on the ease of use, in particular concerning the calibration of the system.

[1]  Thomas B. Moeslund,et al.  A Survey of Computer Vision-Based Human Motion Capture , 2001, Comput. Vis. Image Underst..

[2]  Aurelio Cappozzo,et al.  Is it feasible to reconstruct body segment 3-D position and orientation using accelerometric data? , 2003, IEEE Transactions on Biomedical Engineering.

[3]  Peter H Veltink,et al.  Accelerometer and rate gyroscope measurement of kinematics: an inexpensive alternative to optical motion analysis systems. , 2002, Journal of biomechanics.

[4]  P.H. Veltink,et al.  Inclination measurement of human movement using a 3-D accelerometer with autocalibration , 2004, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[5]  Sílvio César Lizana Terra,et al.  Performance timing for keyframe animation , 2004, SCA '04.

[6]  Zhaoying Zhou,et al.  A real-time articulated human motion tracking using tri-axis inertial/magnetic sensors package. , 2004, IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

[7]  G. Hansson,et al.  Validity and reliability of triaxial accelerometers for inclinometry in posture analysis , 2001, Medical and Biological Engineering and Computing.

[8]  Jessica K. Hodgins,et al.  Interactive control of avatars animated with human motion data , 2002, SIGGRAPH.

[9]  Angelo M. Sabatini,et al.  Quaternion-based strap-down integration method for applications of inertial sensing to gait analysis , 2006, Medical and Biological Engineering and Computing.

[10]  Lance Williams,et al.  Motion signal processing , 1995, SIGGRAPH.

[11]  Jessica K. Hodgins,et al.  Performance animation from low-dimensional control signals , 2005, SIGGRAPH 2005.

[12]  Gregory F. Welch Hybrid Self-Tracker: An Inertial/Optical Hybrid Three-Dimensional Tracking System , 1995 .

[13]  Peter H. Veltink,et al.  Measuring orientation of human body segments using miniature gyroscopes and accelerometers , 2005, Medical and Biological Engineering and Computing.

[14]  Xiaoming Hu,et al.  Drift-free attitude estimation for accelerated rigid bodies , 2004, Autom..