EVA: EVAluating at-home rehabilitation exercises using augmented reality and low-cost sensors

Author:

Escalona Felix,Martinez-Martin Ester,Cruz Edmanuel,Cazorla Miguel,Gomez-Donoso FranciscoORCID

Funder

Ministerio de Economía, Industria y Competitividad, Gobierno de España

Instituto para la Formación y Aprovechamiento de Recursos Humanos

Conselleria d’Educació, Investigació, Cultura i Esport

Ministerio de Educación, Cultura y Deporte

Publisher

Springer Science and Business Media LLC

Subject

Computer Graphics and Computer-Aided Design,Human-Computer Interaction,Software

Reference39 articles.

1. Al-Issa H, Regenbrecht H, Hale L (2013) Augmented reality applications in rehabilitation to improve physical outcomes. Phys Ther Rev 17(1):16–28. https://doi.org/10.1179/1743288X11Y.0000000051

2. Aung YM, Al-Jumaily A, Anam K (2014) A novel upper limb rehabilitation system with self-driven virtual arm illusion. In: 36th Annual international conference of the IEEE engineering in medicine and biology society, pp 3614–3617, Chicago, IL, USA

3. Aung YM, Al-Jumaily A (2014) Augmented reality-based rehabio system for shoulder rehabilitation. Int J Mechatron Autom 4(1):52–62

4. Bangor A, Kortum P, Miller J (2009) Determining what individual SUS scores mean: adding an adjective rating scale. J Usability Stud 4(3):114–123

5. Barcala L, Grecco LAC, Colella F, Lucareli PRG, Salgado ASI, Oliveira CS (2013) Visual biofeedback balance training using wii fit after stroke: a randomized controlled trial. J Phys Ther Sci 25(8):1027–1032. https://doi.org/10.1589/jpts.25.1027

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