Abstract
An adaptive kalman filter for three dimensional attitude tracking is presented in this paper. Such filter can be used in the low cost system with only a triaxis accelerometer and a triaxis magnetometer where dynamic attitude tracking is needed. An adaptive kalman filter for three dimensional attitude tracking which dynamically updates the measurement variance according to the mode of acceleration is proposed. The proposed filter is implemented and evaluated on a homemade attitude tracking module. Experimental results show that this method can be used for low-cost real time human machine interface.
Original language | English |
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Title of host publication | ISVRI 2011 - IEEE International Symposium on Virtual Reality Innovations 2011, Proceedings |
Pages | 151-154 |
Number of pages | 4 |
DOIs | |
Publication status | Published - 2011 |
Event | IEEE International Symposium on Virtual Reality Innovations 2011, ISVRI 2011 - Singapore, Singapore Duration: 19 Mar 2011 → 20 Mar 2011 |
Publication series
Name | ISVRI 2011 - IEEE International Symposium on Virtual Reality Innovations 2011, Proceedings |
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Conference
Conference | IEEE International Symposium on Virtual Reality Innovations 2011, ISVRI 2011 |
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Country/Territory | Singapore |
City | Singapore |
Period | 19/03/11 → 20/03/11 |
Keywords
- Attitude Determination
- Human Machine Interface
- Kalman filter
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Hu, X., Li, Q., He, C., & Liu, Y. (2011). An adaptive kalman filter for three dimensional attitude tracking. In ISVRI 2011 - IEEE International Symposium on Virtual Reality Innovations 2011, Proceedings (pp. 151-154). Article 5759620 (ISVRI 2011 - IEEE International Symposium on Virtual Reality Innovations 2011, Proceedings). https://doi.org/10.1109/ISVRI.2011.5759620