An Ambulatory System for Gait Monitoring Based on Wireless Sensorized Insoles

摘要: A new gait phase detection system for continuous monitoring based on wireless sensorized insoles is presented. The can be used in analysis mobile applications, and it designed real-time demarcation of phases. employs pressure sensors to assess the force exerted by each foot during walking. fuzzy rule-based inference algorithm implemented a smartphone detect phases sensor signals. Additionally, provide solution that insensitive perturbations caused non-walking activities, probabilistic classifier employed discriminate walking forward from other low-level such as turning, backwards, lateral walking, etc. combination these two algorithms constitutes first approach towards assessment system, means avoidance influences.