Title :
Sourceless tracking of human posture using small inertial/magnetic sensors
Author :
Bachmann, Eric R. ; Yun, Xiaoping ; Mcghee, Robert B.
Author_Institution :
MOVES Inst., Naval Postgraduate Sch., Monterey, CA, USA
Abstract :
Human body posture can be tracked in real-time using small inexpensive inertial/magnetic sensor modules to measure the orientation of individual limb segments. To perform this task inertial/magnetic sensors generally contain: three orthogonally mounted angular rate sensors, three orthogonally mounted accelerometers, and three orthogonally mounted magnetometers. These sensors must be small and light enough to be securely attached to major limb segments and avoid user encumbrance. Sensor data must be processed by an efficient filtering algorithm that is able to produce accurate orientation estimates without singularities in all attitudes and does not require still periods to correct for drift. This paper discusses the design of a sourceless body tracking system with an emphasis on sensor and efficient filter design. Various methods for mitigating small transient orientation errors due to variability in the direction of the local magnetic field vector are also described.
Keywords :
error correction; filtering theory; gesture recognition; magnetic sensors; real-time systems; tracking; virtual reality; accelerometers; angular rate sensors; complementary filtering; human posture tracking; inertial sensors; limb segment orientation measurement; magnetic field vector; magnetic sensor; magnetometers; motion tracking; real-time tracking; sensor data; sourceless body tracking system; transient orientation error mitigation; user encumbrance; Accelerometers; Filters; Humans; Magnetic field measurement; Magnetic sensors; Magnetic separation; Magnetometers; Optical sensors; Sensor systems; Tracking;
Conference_Titel :
Computational Intelligence in Robotics and Automation, 2003. Proceedings. 2003 IEEE International Symposium on
Print_ISBN :
0-7803-7866-0
DOI :
10.1109/CIRA.2003.1222286