Feature selection to classify lameness using a smartphone-based inertial measurement unit

Satoshi Arita, Daisuke Nishiyama, Takaya Taniguchi, Daisuke Fukui, Manabu Yamanaka, Hiroshi Yamada

Open source

DOI: 10.1371/journal.pone.0258067
Published: 2021-09-30
Container: PLOS ONE
Publisher: Public Library of Science (PLoS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0258067,
  title = {Feature selection to classify lameness using a smartphone-based inertial measurement unit},
  author = {Satoshi Arita and Daisuke Nishiyama and Takaya Taniguchi and Daisuke Fukui and Manabu Yamanaka and Hiroshi Yamada},
  year = {2021},
  journal = {PLOS ONE},
  doi = {10.1371/journal.pone.0258067},
  url = {https://doi.org/10.1371/journal.pone.0258067}
}

RIS

TY  - JOUR
TI  - Feature selection to classify lameness using a smartphone-based inertial measurement unit
AU  - Satoshi Arita
AU  - Daisuke Nishiyama
AU  - Takaya Taniguchi
AU  - Daisuke Fukui
AU  - Manabu Yamanaka
AU  - Hiroshi Yamada
PY  - 2021
JO  - PLOS ONE
DO  - 10.1371/journal.pone.0258067
UR  - https://doi.org/10.1371/journal.pone.0258067
ER  -

APA

Arita, S., Nishiyama, D., Taniguchi, T., Fukui, D., Yamanaka, M., & Yamada, H. (2021). Feature selection to classify lameness using a smartphone-based inertial measurement unit. PLOS ONE. https://doi.org/10.1371/journal.pone.0258067

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crossref · retrieved 2026-11-07T00:06:12.798Z