A gait cadence measurement method based on match filter and turns detection for human locomotion monitoring

Gait is a particular locomotion pattern of human body. Analysis of gait parameters may help identify posture-related problems in people with injuries or diseases. In this work, biokinetic gyroscopes with wireless data transmission capability were used to record the right ankle angular rates during walking. A match filter and turns detection algorithm were used to measure the gait cadence and its subphases. Results of the experiments on a group of 16 healthy subjects demonstrated that the proposed method can detect the temporal gait parameters with a high degree of precision and reliably identify important gait events.