The integration of the foot pressure distribution system with wearable devices is mainly achieved through sensor technology, data integration, and intelligent analysis, specifically as follows:
Multi-sensor collaborative acquisition
Wearable devices (such as smart insoles) integrate foot pressure sensors and inertial measurement units (IMU) to synchronously collect pressure distribution, gait phase, and limb kinematic data in real time. For example, a pressure sensor matrix can quantify the force on each area of the foot, while the IMU captures three-dimensional posture and acceleration information.
Data fusion algorithms
Through self-developed algorithms (such as gait phase detection algorithms), pressure data is combined with kinematic data from the IMU to generate multi-dimensional analysis results. For example, the team at Lanzhou University developed smart insoles that use AI to fuse pressure and gait data, achieving accurate recognition of movement states.
Real-time monitoring and feedback
The fused data can be wirelessly transmitted to terminals (such as mobile phones or medical platforms) to provide real-time gait analysis, balance assessment, and health warnings. For example, diabetic patients can prevent foot ulcers through abnormal pressure point detection.
Personalized applications
The data supports customized solutions, such as 3D-printed corrective insoles (designed based on foot scanning and pressure distribution optimization), or dynamic balance adjustments in rehabilitation training.
Cross-domain expansion
By combining traditional Chinese medicine theory (such as acupoint stimulation) with modern health monitoring, applications can be further expanded to scenarios such as sleep improvement and fatigue relief.
This integration technology not only enhances precision in the medical and sports fields, but also provides innovative tools for daily health management.
