Study on pressure sensors arrangement problem of human sitting posture recognition intelligent terminal

DU Yingkui; YAO Junhao; WANG Xinhe; LIU Hongan; LI Ruoxi; YUAN Zhonghu

doi:10.13873/J.1000-9787(2020)07-0054-04

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Study on pressure sensors arrangement problem of human sitting posture recognition intelligent terminal

更新时间：2025-09-11

- Study on pressure sensors arrangement problem of human sitting posture recognition intelligent terminal
- Vol. 39, Issue 7, Pages: 54-57(2020)
- 作者机构：
  
  1. 沈阳大学信息工程学院
  2. 沈阳市第四人民医院
- 作者简介：
- 基金信息：
- DOI：10.13873/J.1000-9787(2020)07-0054-04
  CLC： TP181;TP212
- Published：2020
- 稿件说明：
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[1]杜英魁,姚俊豪,王馨鹤,刘洪安,李若溪,原忠虎.人体坐姿识别智能终端的压力传感器排布问题研究[J].传感器与微系统,2020,39(07):54-57.

DU Yingkui, YAO Junhao, WANG Xinhe, et al. Study on pressure sensors arrangement problem of human sitting posture recognition intelligent terminal[J]. 2020, 39(7): 54-57.
[1]杜英魁,姚俊豪,王馨鹤,刘洪安,李若溪,原忠虎.人体坐姿识别智能终端的压力传感器排布问题研究[J].传感器与微系统,2020,39(07):54-57. DOI： 10.13873/J.1000-9787(2020)07-0054-04.

DU Yingkui, YAO Junhao, WANG Xinhe, et al. Study on pressure sensors arrangement problem of human sitting posture recognition intelligent terminal[J]. 2020, 39(7): 54-57. DOI： 10.13873/J.1000-9787(2020)07-0054-04.

摘要

在基于电阻式薄膜压力传感器的人体坐姿识别研究中

传感器排布方式是一个影响识别准确率和硬件成本的基础性问题。提出了一种基于时间序列欧氏距离相似性度量的传感器排布选择算法

定义了不同坐姿下的归一化压力时间序列数据

根据不同传感器之间时间序列数据欧氏距离相似度的差异显著性

对每个感应区域的压力传感器进行排布选择优化。利用随机森林和叠层支持向量机（SVM）分类模型进行了十折交叉对比实验

实验结果表明:该方法可减少25%的传感器数量并提升人体坐姿识别准确率

验证了所提方法的有效性。

Abstract

In human sitting position recognition research based on resistive thin film pressure sensor

the arrangement of pressure sensors is a key problem

which affects the recognition accuracy and hardware cost. A sensor arrangement and selection algorithm is proposed based on Euclidean distance similarity measurement of time series. The normalized pressure time series data of different postures is defined. In the cross-contrast experiments

the random forest and stack support vector machine are utilized. Expenmental results show that 25 percent sensors are reduced but the accuracy of recognition is improved. The effectiveness of the algorithm is validated.

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references

基于电阻式薄膜压力传感器组的人体坐姿感知终端 [J]. 杜英魁,姚俊豪,刘鑫,何丽霞,任苹,原忠虎. 传感器与微系统 . 2020(01)

云误差修正与复合滤波的空气质量监测系统设计 [J]. 原忠虎,李沐,杜英魁,关屏,赵丽娟,刘枢. 单片机与嵌入式系统应用 . 2019(12)

AnomalyDetect:一种基于欧式距离的在线异常检测算法 [J]. 霍文君,王伟,李文. 中国科学技术大学学报 . 2019(07)

面向海岛环境的海雾能见度监测系统应用研究 [J]. 张超,金光,江先亮. 传感技术学报 . 2018(08)

时间序列数据挖掘的相似性度量综述 [J]. 陈海燕,刘晨晖,孙博. 控制与决策 . 2017(01)

人体坐姿上肢不同拉力负荷时足底的压力分布 [J]. 杨建鑫,马超,赵自强,谈诚,张春林. 中国组织工程研究与临床康复 . 2011(02)

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