Daily Locomotion Recognition and Prediction: A Kinematic Data-Based Machine Learning Approach

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...

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Bibliographic Details
Main Authors: Joana Figueiredo, Simao P. Carvalho, Diogo Goncalve, Juan C. Moreno, Cristina P. Santos
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Kinematic data
machine learning
motion intention recognition
motion transition prediction
Online Access:https://ieeexplore.ieee.org/document/8982003/

Internet

https://ieeexplore.ieee.org/document/8982003/

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