A machine learning approach to k-step look-ahead prediction of gait variables from acceleration data

Lai, Daniel T. H., Shilton, Alistair, Charry, Edgar, Begg, R. and Palaniswami, M. 2009, A machine learning approach to k-step look-ahead prediction of gait variables from acceleration data, in Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE, Piscataway, N.J., pp. 384-387, doi: 10.1109/IEMBS.2009.5334512.

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Title A machine learning approach to k-step look-ahead prediction of gait variables from acceleration data
Author(s) Lai, Daniel T. H.
Shilton, AlistairORCID iD for Shilton, Alistair orcid.org/0000-0002-0849-3271
Charry, Edgar
Begg, R.
Palaniswami, M.
Conference name Engineering in Medicine and Biology Society. International Conference (31st : 2009 : Minneapolis, Minnesota)
Conference location Minneapolis, Minnesota
Conference dates 2009/09/03 - 2009/09/06
Title of proceedings Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Publication date 2009
Start page 384
End page 387
Total pages 4
Publisher IEEE
Place of publication Piscataway, N.J.
ISBN 9781424432967
ISSN 1094-687X
1558-4615
Language eng
DOI 10.1109/IEMBS.2009.5334512
Indigenous content off
HERDC Research category E1.1 Full written paper - refereed
Copyright notice ©2009, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30125255

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