ENSEMBLE APPROACHES TO PARAMETRIC DECISION FUSION FOR BIMODAL EMOTION RECOGNITION

Jonghwa Kim, Florian Lingenfelser

Abstract

In this paper, we present a novel multi-ensemble technique for decision fusion of bimodal information. Exploiting the dichotomic property of 2D emotion model, various ensembles are built from given bimodal dataset containing multichannel physiological measures and speech. Through synergistic combination of the ensembles we investigated parametric schemes of decision-level fusion. Up to 18% of improved recognition accuracies are achieved compared to the results from unimodal classification.

References

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Paper Citation


in Harvard Style

Kim J. and Lingenfelser F. (2010). ENSEMBLE APPROACHES TO PARAMETRIC DECISION FUSION FOR BIMODAL EMOTION RECOGNITION . In Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2010) ISBN 978-989-674-018-4, pages 460-463. DOI: 10.5220/0002753204600463


in Bibtex Style

@conference{biosignals10,
author={Jonghwa Kim and Florian Lingenfelser},
title={ENSEMBLE APPROACHES TO PARAMETRIC DECISION FUSION FOR BIMODAL EMOTION RECOGNITION},
booktitle={Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2010)},
year={2010},
pages={460-463},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002753204600463},
isbn={978-989-674-018-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2010)
TI - ENSEMBLE APPROACHES TO PARAMETRIC DECISION FUSION FOR BIMODAL EMOTION RECOGNITION
SN - 978-989-674-018-4
AU - Kim J.
AU - Lingenfelser F.
PY - 2010
SP - 460
EP - 463
DO - 10.5220/0002753204600463