[Recognition and classification of posture and gait patterns of rollator users by distance measurements-a comparison between clinical assessment and automatic classification].

Background: This article describes the development of an add-on module for wheeled walkers dedicated to sensor-based posture and gait pattern recognition with the goal to develop an everyday aid for fall prevention. The core contribution is a clinical study that compared single gait parameter assessments coming from medical staff to those obtained from an automatic classification algorithm, i. e.