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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.

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