According to the
human body activity distinguishing device and method, through an intelligent insole
system integrating an inertial sensor and a
plantar pressure sensor and in combination with a multi-scale time window
analysis method,
gait data of a user are accurately collected and processed, daily activity
modes such as walking, running and going upstairs and downstairs and changes of the
modes are recognized, and the
human body activity distinguishing effect is achieved. And real-time health feedback and
rehabilitation support are provided. The intelligent insole
system comprises an upper computer
system, sensor integrated insole hardware and a module communicating with a user terminal and a
cloud server. According to the system, multi-
modal data is collected through an inertial sensor and a
plantar pressure sensor,
data processing is achieved in combination with data fusion and a multi-
scale sliding time window method, finally, a
random forest classifier is used for classifying activity
modes, and the functions of health monitoring, posture improvement suggestion,
falling risk assessment and the like are achieved. The
exercise performance of the user is improved, and personalized health management is provided.