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A system for activity recognition using multi-sensor fusion.

Lei Gao1, Alan K Bourke, John Nelson

  • 1Department of Electronic and Computer Engineering, Faculty of Science and Engineering, University of Limerick, Ireland. lei.gao@ul.ie

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|January 19, 2012
PubMed
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This study introduces a multi-sensor fusion system for activity recognition, achieving high accuracy by addressing calibration drift and sensor orientation changes. The system demonstrates robust performance in recognizing daily living activities.

Failed At:

2026-06-19T13:36:51.709002+00:00

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