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Data for: "Random forest algorithms for recognizing daily life activities using plantar pressure information: A smart-shoe study"

Research datakeyboard_double_arrow_right Dataset 25 Sep 2020Publisher:Zenodo

Authors: Ren, Dian; Aubert-Kato, Nathanael; Anzai, Emi; Ohta, Yuji; Tripette, Julien;

doi: 10.5281/zenodo.4050389 , 10.5281/zenodo.4050390

Data for: "Random forest algorithms for recognizing daily life activities using plantar pressure information: A smart-shoe study"

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Abstract

Data and software related to the manuscript "Random forest algorithms for recognizing daily life activities using plantar pressure information: A smart-shoe study" (2020). ======== Typo in README_DataRep.txt: ' 2) "one_config" [...] Selected results requiring these data are shown in Fig. 13' (not 11).

Original repo url at github (software): https://github.com/dian-R/CodeForSmartShoesPeerJ.git Formerly: https://github.com/dian-R/Codeforreview.git

Related Organizations

Ochanomizu University
Japan
Nara Women's University
Japan

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Random forest algorithms for recognizing daily life activities using plantar pressure information: a smart-shoe study
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Data for: "Random forest algorithms for recognizing daily life activities using plantar pressure information: A smart-shoe study"

Data for: "Random forest algorithms for recognizing daily life activities using plantar pressure information: A smart-shoe study"

2 Research products, page 1 of 1

Random forest algorithms for recognizing daily life activities using plantar pressure information: a smart-shoe study

Identifying predictors for postoperative clinical outcome in lumbar spinal stenosis patients using smart-shoe technology