Learning and Identification of human upper-limb muscle synergies in daily-life tasks with autoencoders
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Date
2018-05-16
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Hannover : Institutionelles Repositorium der Leibniz Universität Hannover
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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.
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