Low cost inertial measurement unit for motion capture in biomedical applications

João Lourenço, Leonardo Martins, Rui Almeida, Claudia Quaresma, Pedro Vieira

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

Abstract

A low-cost inertial measurement unit has been developed for accurate motion capture, allowing real-time spatial position registration (linear and angular) of the user’s whole-body. For this, we implemented a dedicated circuit for 9 degrees of freedom motion sensors, composed of an accelerometer, gyroscope and a magnetometer. We also applied signal processing and data fusion algorithms to prevent the inherent drift of the position signal. This drift is known to exist during the sensor integration process and the implemented algorithms showed promising results. This system is meant to be used in two specific biomedical applications. The first one is linked to the development of a low-cost system for gait analysis of the whole-body, which can be used in home-based rehabilitation systems. The second application is related to the real-time analysis of working postures and the identification of ergonomic risk factors for musculoskeletal disorders.

Original languageEnglish
Title of host publicationTechnological Innovation for Cyber-Physical Systems - 7th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2016, Proceedings
PublisherSpringer New York LLC
Pages151-158
Number of pages8
Volume470
ISBN (Print)978-3-319-31164-7
DOIs
Publication statusPublished - 2016
Event7th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2016 - Costa de Caparica, Portugal
Duration: 11 Apr 201613 Apr 2016

Publication series

NameIFIP Advances in Information and Communication Technology
Volume470
ISSN (Print)18684238

Conference

Conference7th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2016
CountryPortugal
CityCosta de Caparica
Period11/04/1613/04/16

Keywords

  • Cyber-physical systems
  • Home rehabilitation
  • Motion capture
  • Sensor fusion
  • Work risk analysis

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