Advances in real-world gait analysis using wearable sensors: framework for algorithm personalisation

Gait parameters (locomotion bout, speed, cadence, variability) obtained during long-term recording through wearable sensors are presented for a large cohort to highlight the importance of real-world (RW) gait analysis. A new framework for optimizing gait algorithms in RW situations for each individual is proposed through a recursive learning model.