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Time-series averaging using constrained dynamic time warping with tolerance

Marion Morel 1, 2, 3, * Catherine Achard 4 Richard Kulpa 2, 3 Séverine Dubuisson 4, 5
* Corresponding author
1 AGATHE - Assistance aux Gestes et Applications THErapeutiques
ISIR - Institut des Systèmes Intelligents et de Robotique, INSERM - Institut National de la Santé et de la Recherche Médicale : U1150
2 M2S - Laboratoire Mouvement Sport Santé
3 MIMETIC - Analysis-Synthesis Approach for Virtual Human Simulation
UR2 - Université de Rennes 2, Inria Rennes – Bretagne Atlantique , IRISA-D6 - MEDIA ET INTERACTIONS
4 ISIR - Institut des Systèmes Intelligents et de Robotique
5 LIS - Laboratoire d'Informatique et Systèmes
Keywords : Constrained DTW Barycenter Averaging Time-series Classification Dynamic Time Warping Local constraints Time-series averaging
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CNRS | ENS-CACHAN | UNIV-RENNES1 | BIOSIT | UNIV-RENNES2 | UNIV-BREST | UR2-HB | M2S | INRIA | IRISA | UR1-UFR-ISTIC | UNIV-RENNES | CENTRALESUPELEC | SORBONNE-UNIVERSITE | LIS-LAB | UNIV-TLN | UNIV-AMU | ISIR | SU-SCIENCES | INSA-RENNES | SU-TI | ENS-PARIS-SACLAY

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Marion Morel, Catherine Achard, Richard Kulpa, Séverine Dubuisson. Time-series averaging using constrained dynamic time warping with tolerance. Pattern Recognition, Elsevier, 2018, 74, pp.77-89. ⟨10.1016/j.patcog.2017.08.015⟩. ⟨hal-01630288⟩

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