Towards Estimation of Three-Dimensional Knee Rotations

April L. McPherson, Christopher L. Felton, Rena Hale, Barry K. Gilbert, Nathan D. Schilaty, Timothy E. Hewett, David R. Holmes, Clifton R. Haider

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Real-time detection of aberrant knee movements in a competition setting may help reduce the incidence of anterior cruciate ligament knee injuries. We present a hardware design to permit real-time monitoring of knee movement. The proposed device has multiple magnetometer and inertia measurement units, which when combined provide orientation estimates via an extended complementary filter. Knee position is estimated from the sensor orientations and verified against a reference laboratory 3D motion capture system. The proposed method lacks accuracy to resolve quantifiable rotations compared to the reference system; however, the proposed method is useful for free-living, qualitative determination of knee rotations.

Original languageEnglish (US)
Title of host publicationConference Record - 53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019
EditorsMichael B. Matthews
PublisherIEEE Computer Society
Number of pages5
ISBN (Electronic)9781728143002
StatePublished - Nov 2019
Event53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019 - Pacific Grove, United States
Duration: Nov 3 2019Nov 6 2019

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)1058-6393


Conference53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019
Country/TerritoryUnited States
CityPacific Grove


  • Anterior cruciate ligament injury
  • human performance
  • wearable sensors

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications


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