Research on Data Fusion Technology of Body Posture Detection Based on Kalman Filter

Xian Wei Wang; Fu Cheng Cao

doi:10.4028/www.scientific.net/AMM.668-669.1003

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 668-669Research on Data Fusion Technology of Body Posture...

Research on Data Fusion Technology of Body Posture Detection Based on Kalman Filter

Abstract:

This paper discusses the body posture detection problem using low cost Micro-Electro-Mechanical System (MEMS) inertial sensors, for which a complementary sensor fusion solution is proposed. Considering the impact from the noise and bias drifts, through Kalman filter to complete the multi-sensor information fusion, achieved an accurate attitude determination. The experimental results show that, after using Kalman filtering algorithm to fuse acceleration sensor and signal gyroscope, it can effectively eliminate the accumulative error and significantly better dynamic characteristics of attitude angle measurement, Improving the reliability and accuracy of body posture estimation.

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Periodical:

Applied Mechanics and Materials (Volumes 668-669)

Pages:

1003-1006

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.668-669.1003

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Online since:

October 2014

Authors:

Xian Wei Wang*, Fu Cheng Cao

Keywords:

Accelerometer, Body Posture Detection, Gyroscope, Kalman Filter, Sensor Fusion

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References

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