VI-Net—View-Invariant Quality of Human Movement Assessment

Original language	English
Journal	Sensors
Volume	20
Issue number	18
DOIs	https://doi.org/10.3390/s20185258
Publication status	Published - 2020

Research Groups and Themes

• Digital Health
• SPHERE

Access to Document

• 10.3390/s20185258Licence: CC BY

• Full-text PDF (final published version)

  This is the final published version of the article (version of record). It first appeared online via MDPI at https://doi.org/10.3390/s20185258 . Please refer to any applicable terms of use of the publisher.

  Final published version, 6.26 MBLicence: CC BY

• https://www.mdpi.com/1424-8220/20/18/5258

Handle.net

• Persistent link

Projects

• 1 Finished

Projects per year

• SPHERE2

  Craddock, I. J. (Principal Investigator), Mirmehdi, M. (Co-Investigator), Piechocki, R. J. (Co-Investigator), Flach, P. A. (Co-Investigator), Oikonomou, G. (Co-Investigator), Burghardt, T. (Co-Investigator), Damen, D. (Co-Investigator), Santos-Rodriguez, R. (Co-Investigator), O'Kane, A. A. (Co-Investigator), McConville, R. (Co-Investigator), Masullo, A. (Co-Investigator) & Gooberman-Hill, R. (Co-Investigator)

  1/10/18 → 31/01/23

  Project: Research, Parent

  • Machine Learning 100%
  • Learning System 84%
  • Annotation 73%
  • Deep Learning Method 71%
  • Activity Recognition 48%

Student theses

• View-invariant human movement assessment

  Sardari, F. (Author), Mirmehdi, M. (Supervisor) & Paiement, A. T. M. (Supervisor), 21 Jun 2022

  Student thesis: Doctoral Thesis › Doctor of Philosophy (PhD)

  File

Datasets

• QMAR: Quality of Movement Assessment for Rehabilitation

  Sardari, F. (Creator), Hannuna, S. (Creator) & Mirmehdi, M. (Creator), University of Bristol, 12 Oct 2020

  DOI: 10.5523/bris.1y37kc9a8y47y2cen7j907bpm7, http://data.bris.ac.uk/data/dataset/1y37kc9a8y47y2cen7j907bpm7

  Dataset

Cite this

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Sardari, F., Paiement, A., Hannuna, S., & Mirmehdi, M. (2020). VI-Net—View-Invariant Quality of Human Movement Assessment. Sensors, 20(18). https://doi.org/10.3390/s20185258

Sardari, Faegheh ; Paiement, Adeline ; Hannuna, Sion et al. / VI-Net—View-Invariant Quality of Human Movement Assessment. In: Sensors. 2020 ; Vol. 20, No. 18.

@article{5c60c2cfa14747e583b3006996f50490,

title = "VI-Net—View-Invariant Quality of Human Movement Assessment",

author = "Faegheh Sardari and Adeline Paiement and Sion Hannuna and Majid Mirmehdi",

year = "2020",

doi = "10.3390/s20185258",

language = "English",

volume = "20",

journal = "Sensors",

issn = "1424-8220",

publisher = "MDPI AG",

number = "18",

}

Sardari, F, Paiement, A, Hannuna, S & Mirmehdi, M 2020, 'VI-Net—View-Invariant Quality of Human Movement Assessment', Sensors, vol. 20, no. 18. https://doi.org/10.3390/s20185258

VI-Net—View-Invariant Quality of Human Movement Assessment. / Sardari, Faegheh; Paiement, Adeline ; Hannuna, Sion et al.
In: Sensors, Vol. 20, No. 18, 2020.

Research output: Contribution to journal › Article (Academic Journal) › peer-review

TY - JOUR

T1 - VI-Net—View-Invariant Quality of Human Movement Assessment

AU - Sardari, Faegheh

AU - Paiement, Adeline

AU - Hannuna, Sion

AU - Mirmehdi, Majid

PY - 2020

Y1 - 2020

U2 - 10.3390/s20185258

DO - 10.3390/s20185258

M3 - Article (Academic Journal)

C2 - 32942561

SN - 1424-8220

VL - 20

JO - Sensors

JF - Sensors

IS - 18

ER -

Sardari F, Paiement A, Hannuna S, Mirmehdi M. VI-Net—View-Invariant Quality of Human Movement Assessment. Sensors. 2020;20(18). doi: 10.3390/s20185258