Affordable Access

Validated Extraction of Gait Events from 3D Accelerometer Recordings

Publication Date
  • Accelerometers
  • Walking
  • Gait Events
  • Heel Strike
  • Toe-Off
  • 3D
  • Motion Analysis
  • Engineering
  • Computing & Technology :: Electrical & Electronics Engineering [C06]
  • Ingénierie
  • Informatique & Technologie :: Ingénierie électrique & électronique [C06]
  • Human Health Sciences :: Neurology [D14]
  • Sciences De La Santé Humaine :: Neurologie [D14]
  • Biology
  • Computer Science
  • Mathematics
  • Medicine


This work is part of a project that deals with the three-dimensional (3D) analysis of normal and pathological gaits based on a newly developed system for clinical applications, using low-cost wireless accelerometers and a signal processing algorithm. This system automatically extracts relevant gait events such as the heel strikes (HS) and the toe-offs (TO), which characterize the stance and the swing phases of walking. The performances of the low-cost accelerometer hardware and related algorithm have been compared to those obtained by a kinematic 3D analysis system and a force plate, used as gold standard methods. The HS and TO times obtained from the gait data of 7 healthy volunteers (147 trials) have been found to be (mean ± standard deviation) 0.42±7.92 ms and 3.11±10.08 ms later than those determined by the force plate, respectively. The experimental results demonstrate that the new hardware and associated algorithm constitute an effective low-cost gait analysis system, which could thus be used for the assessment of mobility in routine clinical practice.

There are no comments yet on this publication. Be the first to share your thoughts.