Across-subject calibration of an instrumented glove to measure hand movement for clinical purposes

Verónica Gracia-Ibáñez*, Margarita Vergara, James H. Buffi, Wendy M. Murray, Joaquín L. Sancho-Bru

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

Motion capture of all degrees of freedom of the hand collected during performance of daily living activities remains challenging. Instrumented gloves are an attractive option because of their higher ease of use. However, subject-specific calibration of gloves is lengthy and has limitations for individuals with disabilities. Here, a calibration procedure is presented, consisting in the recording of just a simple hand position so as to allow capture of the kinematics of 16 hand joints during daily life activities even in case of severe injured hands. ‘across-subject gains’ were obtained by averaging the gains obtained from a detailed subject-specific calibration involving 44 registrations that was repeated three times on multiple days to 6 subjects. In additional 4 subjects, joint angles that resulted from applying the ‘across-subject calibration’ or the subject-specific calibration were compared. Global errors associated with the ‘across-subject calibration’ relative to the detailed, subject-specific protocol were small (bias: 0.49°; precision: 4.45°) and comparable to those that resulted from repeating the detailed protocol with the same subject on multiple days (0.36°; 3.50°). Furthermore, in one subject, performance of the ‘across-subject calibration’ was directly compared to another fast calibration method, expressed relative to a videogrammetric protocol as a gold-standard, yielding better results.

Original languageEnglish (US)
Pages (from-to)587-597
Number of pages11
JournalComputer Methods in Biomechanics and Biomedical Engineering
Volume20
Issue number6
DOIs
StatePublished - Apr 26 2017

Keywords

  • Instrumented glove
  • across-subject calibration
  • fast calibration
  • hand disabilities
  • hand movement

ASJC Scopus subject areas

  • Bioengineering
  • Biomedical Engineering
  • Human-Computer Interaction
  • Computer Science Applications

Fingerprint

Dive into the research topics of 'Across-subject calibration of an instrumented glove to measure hand movement for clinical purposes'. Together they form a unique fingerprint.

Cite this