柔性应变传感器在人体运动监测中的应用研究

Research on Application of flexible Strain Sensor in Human Motion Monitoring

随着科学技术的快速提高,人类更加重视自身健康。现在的科研人员研发了一种低成本、高可拉伸性、高灵敏度等特殊柔性的可拉伸的的应变传感器材料,进而对人体的健康状态进行实时监控。当今可穿戴的柔性应变传感器在人机交互系统、电子皮肤、人体运动行为监测等领域有了更为广阔的应用前景,这也成为当今智能材料的研究方向,其中,可拉伸性及灵敏度是柔性应变传感器材料的一个重要的性能评价指标,如何提高可拉伸性和灵敏度也是当今科研人员所面临的一个挑战。在实验时,我们一般是用聚氨酯海绵来模拟柔性应变传感器材料,通过电沉积方法来制备聚氨酯海绵柔性应变传感器,这种方式所制备的传感器成本低、方法简单,同时也提高了传感器的灵敏度,这样就便于对人体的手指弯曲活动监测和面部肌肉拉伸监测。除了对人体一些细小的部位进行监控以外,还对对人体的运动姿态进行实时的监控,因此提出了一种加速传感器和螺旋仪数据融合的人体运动的模式识别,主要是螺旋仪输出人体的运动信息,选择合适的算法对输出的信息进行修护和融合,这就有效的提高了姿态角度测量的准确度,也更有效的区分出日常的活动行为。

with the rapid development of social economy and technology,people pay more attention to their own health.Now researchers have developed a kind of special flexible strain sensor material with low cost,high extensibility and high sensitivity,which can monitor the health status of human body in real time.Nowadays,wearable flexible strain sensor has a broader application prospect in human-computer interaction system,electronic skin,human motion behavior monitoring and other fields,which has become the research direction of intelligent materials.Among them,the stretchability and sensitivity is an important performance evaluation index of flexible strain sensor materials.How to improve the stretchability and sensitivity is also a challenge facing researchers today.In the experiment,we usually use polyurethane sponge to simulate the flexible strain sensor material,and prepare polyurethane sponge flexible strain sensor by electrodeposition.The sensor prepared in this way has low cost and simple method,it also improves the sensitivity of the sensor,so it is convenient to monitor the finger bending activity of human body and facial muscle stretching.In addition to the monitoring of some small parts of the human body,the real-time monitoring of the human body’s motion attitude is also carried out.Therefore,a pattern recognition of human body motion based on the data fusion of acceleration sensor and spirometer is proposed.Mainly the spiral instrument outputs human body motion information,and choose a suitable algorithm to repair and integrate the output information,which effectively improves the accuracy of posture angle measurement and more effectively distinguishes daily activity behavior.