Daily locomotion recognition and prediction: A kinematic data-based machine learning approach
More versatile, user-independent tools for recognizing and predicting locomotion modes (LMs) and LM transitions (LMTs) in natural gaits are still needed. This study tackles these challenges by proposing an automatic, user-independent recognition and prediction tool using easily wearable kinematic mo...
Main Author: | |
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Other Authors: | , , , |
Format: | article |
Language: | eng |
Published: |
2020
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Subjects: | |
Online Access: | http://hdl.handle.net/1822/71242 |
Country: | Portugal |
Oai: | oai:repositorium.sdum.uminho.pt:1822/71242 |