An Adaptive-Gain Complementary Filter for Real-Time Human Motion Tracking With MARG Sensors in Free-Living Environments

High-resolution, real-time data obtained by human motion tracking systems can be used for gait analysis, which helps better understanding the cause of many diseases for more effective treatments, such as rehabilitation for outpatients or recovery from lost motor functions after a stroke. In order to...

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Veröffentlicht in:	IEEE transactions on neural systems and rehabilitation engineering Jg. 21; H. 2; S. 254 - 264
Hauptverfasser:	Tian, Ya, Wei, Hongxing, Tan, Jindong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.03.2013 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Acceleration Actigraphy - instrumentation Adaptive-gain complementary filter Algorithms angular rate and gravity (MARG) sensors Computer Systems Distortion Earth Equipment Design Equipment Failure Analysis Estimation Feedback Gauss-Newton optimization algorithm (GNA) Gyroscopes Human motion human motion capture (MoCap) Humans magnetic Magnetic sensors Magnetometers Magnetometry - instrumentation Mathematical analysis Movement - physiology Orientation quaternion-based orientation Real time Rehabilitation Reproducibility of Results Sensitivity and Specificity Sensors Signal Processing, Computer-Assisted - instrumentation Studies Telemetry - instrumentation Vectors
ISSN:	1534-4320, 1558-0210, 1558-0210
Online-Zugang:	Volltext
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