Implementation and Experimental Results of a Quaternion-Based Kalman Filter for Human Body Motion Tracking

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dc.contributor.authorYun, Xiaoping
dc.contributor.authorAparicio, Conrado
dc.contributor.authorBachmann, Eric R.
dc.contributor.authorMcGhee, Robert B.
dc.contributor.corporateNaval Postgraduate School (U.S.)
dc.date.accessioned2020-01-07T02:25:31Z
dc.date.available2020-01-07T02:25:31Z
dc.date.issued2005-04
dc.descriptionThe article of record as published may be found at https://doi.org/10.1109/ROBOT.2005.1570138en_US
dc.description.abstractA human body motion tracking system based on use of the MARG (Magnetic, Angular Rate, and Gravity) sensors has been under development at the Naval Postgraduate School and Miami University. The design of a quaternion- based Kalman filter for processing the MARG sensor data was described in [1]. This paper presents the real-time implementation and testing results of the quaternion-based Kalman filter. Experimental results validate the Kalman filter design, and show the feasibility of the MARG sensors for real- time human body motion tracking.en_US
dc.format.extent6 p.en_US
dc.identifier.citationYun, Xiaoping, et al. "Implementation and experimental results of a quaternion-based Kalman filter for human body motion tracking." Proceedings of the 2005 IEEE International Conference on Robotics and Automation. IEEE, 2005.
dc.identifier.urihttps://hdl.handle.net/10945/63774
dc.publisherIEEEen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.subject.authorQuaternion-based Kalman filteren_US
dc.subject.authorhuman body motion trackingen_US
dc.subject.authorMARG sensorsen_US
dc.subject.authorinertial/magnetic sensors.en_US
dc.titleImplementation and Experimental Results of a Quaternion-Based Kalman Filter for Human Body Motion Trackingen_US
dc.typeArticleen_US
dspace.entity.typePublication
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