Human Motion Monitoring Based on Carbon Nanotube Flexible Strain Sensor

Abstract

Aiming at the problems of traditional methods such as hysteresis, low accuracy of monitoring results, low motion recognition rate and poor sensitivity, a human motion monitoring method based on carbon nanotube flexible strain sensors is proposed. To realize human motion monitoring, first, the carbon nanotube flexible strain sensor is configured to obtain its performance parameters; Secondly, the human body motion acceleration data is collected through the window processing method, and the preprocessing is performed to filter out the noise data; A feature extraction model of human motion posture is established based on the data preprocessing results, which is used to extract human motion posture; Finally, by establishing a position model of human body motion node based on the carbon nanotube flexible strain sensor, the monitoring of human body motion is realized. The experimental results show that the proposed method has high accuracy (up to 90%), excellent recognition rate, with the maximum sensitivity coefficient close to the optimal value of 1.0, indicating practical application value.