Learning and Identification of human upper-limb muscle synergies in daily-life tasks with autoencoders

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Hu, T.; Kühn, J.; Matouq, J.; Haddadin, S.: Learning and Identification of human upper-limb muscle synergies in daily-life tasks with autoencoders. OTWorld Congress 2018, 6 S.

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/3679

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Abstract:
As a pilot study, we present 1)a database that includes 30 daily-life table-top tasks, which were selected within the SoftPro project, and 2)a novel autoencoder-based muscle synergy identification method, whose results indicate an association between synergy space dimensionality and task complexity.
License of this version: Es gilt deutsches Urheberrecht. Das Dokument darf zum eigenen Gebrauch kostenfrei genutzt, aber nicht im Internet bereitgestellt oder an Außenstehende weitergegeben werden.
Publication type: ConferenceObject
Publishing status: publishedVersion
Publication date: 2018-05-16
Keywords english: upper limb muscle synergies, autoencoders, machine learning
DDC: 620 | Ingenieurwissenschaften und Maschinenbau, 610 | Medizin, Gesundheit

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