About: Recurrent Neural Networks with Weighting Loss for Early Prediction of Hand Movements

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type	http://eprints.org/ontology/ConferenceItemEPrint http://eprints.org/ontology/EPrint Article Academic Article
seeAlso	HTML Summary of #72665 Recurrent Neural Networks with Weighting Loss for Early Prediction of Hand Movements
sameAs	Recurrent Neural Networks with Weighting Loss for Early Prediction of Hand Movements
http://eprints.org/ontology/hasAccepted	Recurrent Neural Networks with Weighting Loss for Early Prediction of Hand Movements (PDF)
http://eprints.org/ontology/hasDocument	Recurrent Neural Networks with Weighting Loss for Early Prediction of Hand Movements (PDF) Recurrent Neural Networks with Weighting Loss for Early Prediction of Hand Movements (Other) Recurrent Neural Networks with Weighting Loss for Early Prediction of Hand Movements (Other) Recurrent Neural Networks with Weighting Loss for Early Prediction of Hand Movements (Other) Recurrent Neural Networks with Weighting Loss for Early Prediction of Hand Movements (Other) Recurrent Neural Networks with Weighting Loss for Early Prediction of Hand Movements (Other)
dc:hasVersion	Recurrent Neural Networks with Weighting Loss for Early Prediction of Hand Movements (PDF)
Title	Recurrent Neural Networks with Weighting Loss for Early Prediction of Hand Movements
described by	https://demo.openlinksw.com/about/id/entity/https/www.cs.kent.ac.uk/people/staff/akj22/materials/CO644/export_kar_RDFN3.n3
Date	2018-09-07
Creator	Fabrice Katzberg Marco Maass Alfred Mertins Radoslaw Mazur Philipp Koch Huy Phan
status	peer reviewed published
abstract	We propose in this work an approach for early prediction of hand movements using recurrent neural networks (RNNs) and a novel weighting loss. The proposed loss function leverages the outputs of an RNN at different time steps and weights their contributions to the final loss linearly over time steps. Additionally, a sample weighting scheme also constitutes a part of the weighting loss to deal with the scarcity of the samples where a change of hand movements takes place. The experiments conducted with the Ninapro database reveal that our proposed approach not only improves the performance in the early prediction task but also obtains state of the art results in classification of hand movements. These results are especially promising for the amputees.
Is Part Of	https://kar.kent.ac.uk/id/repository
list of authors	https://kar.kent.ac.uk/id/eprint/72665#authors
presented at	26th European Signal Processing Conference (Eusipco 2018)
is topic of	https://www.cs.kent.ac.uk/people/staff/akj22/materials/CO644/export_kar_RDFN3.n3
is primary topic of	HTML Summary of #72665 Recurrent Neural Networks with Weighting Loss for Early Prediction of Hand Movements

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