Literature DB >> 24110834

An experimental protocol for the definition of upper limb anatomical frames on children using magneto-inertial sensors.

L Ricci, D Formica, E Tamilia, F Taffoni, L Sparaci, O Capirci, E Guglielmelli.   

Abstract

Motion capture based on magneto-inertial sensors is a technology enabling data collection in unstructured environments, allowing "out of the lab" motion analysis. This technology is a good candidate for motion analysis of children thanks to the reduced weight and size as well as the use of wireless communication that has improved its wearability and reduced its obtrusivity. A key issue in the application of such technology for motion analysis is its calibration, i.e. a process that allows mapping orientation information from each sensor to a physiological reference frame. To date, even if there are several calibration procedures available for adults, no specific calibration procedures have been developed for children. This work addresses this specific issue presenting a calibration procedure for motion capture of thorax and upper limbs on healthy children. Reported results suggest comparable performance with similar studies on adults and emphasize some critical issues, opening the way to further improvements.

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Year:  2013        PMID: 24110834     DOI: 10.1109/EMBC.2013.6610647

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  4 in total

Review 1.  A review of computational approaches for evaluation of rehabilitation exercises.

Authors:  Yalin Liao; Aleksandar Vakanski; Min Xian; David Paul; Russell Baker
Journal:  Comput Biol Med       Date:  2020-03-04       Impact factor: 4.589

2.  A new calibration methodology for thorax and upper limbs motion capture in children using magneto and inertial sensors.

Authors:  Luca Ricci; Domenico Formica; Laura Sparaci; Francesca Romana Lasorsa; Fabrizio Taffoni; Eleonora Tamilia; Eugenio Guglielmelli
Journal:  Sensors (Basel)       Date:  2014-01-09       Impact factor: 3.576

Review 3.  Measurement of Upper Limb Range of Motion Using Wearable Sensors: A Systematic Review.

Authors:  Corrin P Walmsley; Sîan A Williams; Tiffany Grisbrook; Catherine Elliott; Christine Imms; Amity Campbell
Journal:  Sports Med Open       Date:  2018-11-29

4.  Classification-based Segmentation for Rehabilitation Exercise Monitoring.

Authors:  Jonathan Feng-Shun Lin; Vladimir Joukov; Dana Kulić
Journal:  J Rehabil Assist Technol Eng       Date:  2018-03-09
  4 in total

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