Ecological Validation of Machine Learning Models for Spatiotemporal Gait Analysis in Free-Living Environments Using Instrumented Insoles

Duong, T. T. H., Uher, D., Montes, J., & Zanotto, D. (2022). Ecological Validation of Machine Learning Models for Spatiotemporal Gait Analysis in Free-Living Environments Using Instrumented Insoles. IEEE Robotics and Automation Letters, 7(4), 10834–10841. https://doi.org/10.1109/lra.2022.3188895
Authors:
Ton T. H. Duong
David Uher
Jacqueline Montes
Damiano Zanotto
Affiliated Authors:
David Uher
Jacqueline Montes
Columbia Affiliation:
Author Keywords:
wearable technology
ambulatory gait analysis
machine learning inference models
instrumented footwear
elink
Publication Type:
Article
Unique ID:
10.1109/LRA.2022.3188895
DOI:
10.1109/LRA.2022.3188895
Journal:
IEEE Robotics and Automation Letters
Publication Date:
Data Source:
Scopus
Source Link:
View Scopus Record
View Web of Science Record

Record Created: