A Motion Capture System for Hand Movement Recognition

Graciela Rodríguez-Vega*, Dora Aydee Rodríguez-Vega, Xiomara Penelope Zaldívar-Colado, Ulises Zaldívar-Colado, Rafael Castillo-Ortega

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations


One of the most frequently-used body regions in daily activities is the upper limbs, and many of the work-related musculoskeletal disorders occur in this area, mainly the hands. We highlight the importance of studying hand movements executed at work, and how they affect workers’ health and productivity. Data were collected from a hand-motion capture system conformed by six inertial measurement units and six resistive force sensors from hand and fingers movements. Two common hand movements were analyzed using wrist flexion-extension with a small (−15° to 15°) and medium (<−15° and >15°) range of motion and flexion-extension movement with the hand pronated-supinated. Data were classified by traditional methods. A more complex movement involving a 3-finger spherical grip was also recorded. It was found that the lectures from the six inertial sensors and the six force resistive sensors showed a pattern that facilitates the recognition of basic and more complex movements (flexion-extension and spheric handgrip) through visual analysis of the plotted data, even at different ranges of motion.

Original languageEnglish
Title of host publicationProceedings of the 21st Congress of the International Ergonomics Association, IEA 2021
Subtitle of host publicationMethods and Approaches
EditorsNancy L. Black, W. Patrick Neumann, Ian Noy
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages8
ISBN (Print)9783030746131
StatePublished - 2022
Event21st Congress of the International Ergonomics Association, IEA 2021 - Virtual, Online
Duration: 13 Jun 202118 Jun 2021

Publication series

NameLecture Notes in Networks and Systems
Volume223 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389


Conference21st Congress of the International Ergonomics Association, IEA 2021
CityVirtual, Online

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.


  • Inertial measurement units
  • Resistive force sensors
  • Spherical grip
  • Wrist flexion-extension
  • Wrist pronation-supination


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