Design and Modeling of a Textile Pressure Sensor for Sitting Posture Classification
Design and Modeling of a Textile Pressure Sensor for Sitting Posture Classification
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DOI：
10.1109/jsen.2009.2037330
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发表时间：
2010-08-01
影响因子：
4.3
通讯作者：
Troester, Gerhard
中科院分区：
文献类型：
--
作者：
Meyer, Jan;Arnrich, Bert;Troester, Gerhard
设计了一种用于测量人体压力分布的织物压力传感器。用导电织物构建的电极被布置在可压缩间隔物的两侧，形成可变电容器。纺织品的使用使得不显眼、舒适、轻便和可清洗的传感器成为可能。采用Preisach模型对传感器垫片引起的迟滞进行建模，使测量误差平均从24%降低到5%，最大误差从50%以上降低到10%以下。由于建模，未针对低滞后特别优化的标准纺织品可用于设计传感器。该模型也可用于其他压力甚至应变传感器，以减少其滞后。建模提高了准确性的纺织传感器的商业，非纺织品的压力传感垫。此外，我们使用的传感器系统在椅子上的坐姿分类。用朴素贝叶斯分类器对9个受试者的数据进行分类，平均识别率达到82%。我们表明，纺织传感器执行类似的商业，非纺织品的压力传感垫，这种应用。
A textile pressure sensor has been designed for measuring pressure distribution on the human body. Electrodes built with conductive textiles are arranged on both sides of a compressible spacer, forming a variable capacitor. The use of textiles makes unobtrusive, comfortable, lightweight, and washable sensors possible. This simplifies the goal to integrate such sensors into clothing in the future, to be simple, and fast to mount just as getting dressed.Hysteresis induced by the spacer of the sensor has been modeled with the Preisach model to reduce the measurement error from 24% to 5% on average and the maximal error from above 50% to below 10%. Standard textiles that are not specially optimized for low hysteresis can be used for designing the sensor due to the modeling. The model may also be used for other pressure or even strain sensors to reduce their hysteresis. The modeling enhances the accuracy of the textile sensor to those of commercial, nontextile pressure sensing mats.Furthermore, we used the sensor system for the classification of sitting postures in a chair. The data of nine subjects have been classified with Naive Bayes classifier, achieving an average recognition rate of 82%. We show that the textile sensor performs similarly to a commercial, nontextile pressure sensing mat for this application.