Trace2trace—A Feasibility Study on Neural Machine Translation Applied to Human Motion Trajectories

Trace2trace—A Feasibility Study on Neural Machine Translation Applied to Human Motion Trajectories

Neural machine translation is a prominent field in the computational linguistics domain. By leveraging the recent developments of deep learning, it gave birth to powerful algorithms for translating text from one language to another. This study aims to assess the feasibility of transferring the neura...

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Bibliographic Details
Main Authors:	Alessandro Crivellari, Euro Beinat
Format:	Article
Language:	English
Published:	MDPI AG 2020-06-01
Series:	Sensors
Subjects:	seq2seq encoder–decoder neural networks LSTM trajectories motion behavior
Online Access:	https://www.mdpi.com/1424-8220/20/12/3503

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