Adaptive Recalibration Algorithm for Removing Sensor Errors and Its Applications in Motion Tracking

Measurement data generated by sensors on mobile devices, such as smartphones, wearables, and smart controllers, are affected by integration and real-world usage errors that can collectively be modeled as bias, linear/quadratic drift, and random noise. Motion tracking based on sensors, such as accele...

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Veröffentlicht in:	IEEE sensors journal 2018-04, Vol.18 (7), p.2916-2924
Hauptverfasser:	Kannan, Ramasamy, Jain, Sajal
Format:	Artikel
Sprache:	eng
Schlagworte:	Accelerometers Adaptive algorithms Gyroscopes Magnetic sensors Magnetometers measurement errors motion detection sensor phenomena and characterization Tracking Training
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