Application research on intelligent balance function evaluation system based on multimodal data
With the aging of the population,balance dysfunction has become a major problem affecting the quality of life and health of the elderly.In this study,an intelligent balance function assessment system based on multimodal data is proposed.With MPU6050 acceleration sensor and thin-film piezoresistive plantar pressure sensors worn on different parts of the body,the system can acquire and process lower limb signals during standing and dynamic walking in real-time,and provide five types of balance function assessment results,namely,left tilt,right tilt,balance stabilization,forward tilt and backward tilt.The system integrates data acquisition,processing,assessment and feedback functions,and the assessment results can finally be viewed in real-time through the user's interface to understand the status of one's own balance function and formulate appropriate interventions.The experimental results show that fall judgment parameter index of the system reaches 85.8%on average,and can provide individuals with precise assessment and intervention,identify balance problems and warn imbalance risk,which is of great theoretical significance and application value.
万方数据
维普
