This paper is in the following e-collection/theme issue:

Portable and Mobile Technologies for Rehabilitation (198)

Published on in Vol 2, No 1 (2015): Jan-Jun

Studying Upper-Limb Kinematics Using Inertial Sensors Embedded in Mobile Phones

Studying Upper-Limb Kinematics Using Inertial Sensors Embedded in Mobile Phones

Studying Upper-Limb Kinematics Using Inertial Sensors Embedded in Mobile Phones

Authors of this article:

Cristina Roldan-Jimenez1 Author Orcid Image ;   Antonio Cuesta-Vargas1, 2 Author Orcid Image ;   Paul Bennett2 Author Orcid Image
Article Authors Cited by (3) Tweetations (13) Metrics

Journals

  1. Carnevale A, Longo U, Schena E, Massaroni C, Lo Presti D, Berton A, Candela V, Denaro V. Wearable systems for shoulder kinematics assessment: a systematic review. BMC Musculoskeletal Disorders 2019;20(1) View
  2. Cuesta-Vargas A, Roldán-Jiménez C. Validity and reliability of arm abduction angle measured on smartphone: a cross-sectional study. BMC Musculoskeletal Disorders 2016;17(1) View

Conference Proceedings

  1. Rahman M, Kankanhalli A, Wadhwa B, Hua Y, Kei C, Hoon L, Jayakkumar S, Lin C. 2016 IEEE International Conference on Healthcare Informatics (ICHI). GEAR: A Mobile Game-Assisted Rehabilitation System View