Quantifying the Spatial Position Representation of Gait Through Sensor Fusion-Reference-Cited by-同舟云学术

Quantifying the Spatial Position Representation of Gait Through Sensor Fusion

Published:2017-10-21 Issue: Volume: Page:105-110
ISSN:2194-8402
Container-title:Smart Sensors, Measurement and Instrumentation
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Author:

LeMoyne Robert,Mastroianni Timothy

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-10-5684-0_8

Reference22 articles.

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3. Yun X, Aparicio C, Bachmann ER, McGhee RB (2005) Implementation and experimental results of a quaternion-based Kalman filter for human body motion tracking. In: IEEE International Conference on Robotics and Automation (ICRA), pp 317–322

4. Valenti RG, Dryanovski I, Xiao J (2015) Keeping a good attitude: A quaternion-based orientation filter for IMUs and MARGs. Sensors 15(8):19302–19330

5. Kalman RE (1960) A new approach to linear filtering and prediction problems. J Basic Eng 82(1):35–45

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