Inclination Measurement of Human Movement Using a 3-D Accelerometer With Autocalibration


Luinge, Henk J. and Veltink, Peter H. (2004) Inclination Measurement of Human Movement Using a 3-D Accelerometer With Autocalibration. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 12 (1). pp. 112-121. ISSN 1534-4320

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Abstract:In the medical field, accelerometers are often used for measuring inclination of body segments and activity of daily living (ADL) because they are small and require little power. A drawback of using accelerometers is the poor quality of inclination estimate for movements with large accelerations. This paper describes the design and performance of a Kalman filter to estimate inclination from the signals of a triaxial accelerometer. This design is based on assumptions concerning the frequency content of the acceleration of the movement that is measured, the knowledge that the magnitude of the gravity is 1 g and taking into account a fluctuating sensor offset. It is shown that for measuring trunk and pelvis inclination during the functional three-dimensional activity of stacking crates, the inclination error that is made is approximately 2/spl deg/ root-mean square. This is nearly twice as accurate as compared to current methods based on low-pass filtering of accelerometer signals.
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Copyright:© 2004 IEEE
Electrical Engineering, Mathematics and Computer Science (EEMCS)
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