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首页> 外文期刊>International Journal of Electrochemical Science >Human Motion Monitoring Based on Carbon Nanotube Flexible Strain Sensor
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Human Motion Monitoring Based on Carbon Nanotube Flexible Strain Sensor

机译：基于碳纳米管柔性应变传感器的人体运动监测

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摘要

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.
机译：针对传统方法的问题，如滞后，监测结果低精度，低运动识别率和敏感性差，提出了一种基于碳纳米管柔性应变传感器的人体运动监测方法。为了实现人体运动监控，首先，碳纳米管柔性应变传感器配置为获得其性能参数;其次，通过窗口处理方法收集人体运动加速数据，并执行预处理以滤除噪声数据;基于数据预处理结果建立了人体运动姿势的特征提取模型，用于提取人类运动姿势;最后，通过基于碳纳米管柔性应变传感器建立人体运动节点的位置模型，实现了人体运动的监测。实验结果表明，该方法具有高精度（高达90％），良好的识别率，最大灵敏度系数接近最佳值为1.0，表明实际应用值。

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