电子科技 ›› 2021, Vol. 34 ›› Issue (4): 47-51.doi: 10.16180/j.cnki.issn1007-7820.2021.04.008

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基于压力传感器的人体坐姿识别测试研究

孙明扬,孟彩茹   

  1. 河北工程大学 机械与装备工程学院,河北 邯郸 056038
  • 收稿日期:2019-12-27 出版日期:2021-04-15 发布日期:2021-04-16
  • 作者简介:孙明扬(1993-),男,硕士研究生。研究方向:机器人技术。|孟彩茹(1980-),女,博士,副教授。研究方向:机器人技术。
  • 基金资助:
    河北省自然科学基金(D201742158)

Research on Human Sitting Posture Recognition Test Based on Pressure Sensor

SUN Mingyang,MENG Cairu   

  1. School of Mechanical and Equipment Engineering,Hebei University of Engineering,Handan 056038,China
  • Received:2019-12-27 Online:2021-04-15 Published:2021-04-16
  • Supported by:
    Natural Science Foundation of Hebei Province(D201742158)

摘要:

坐姿识别对坐姿监测具有重要的研究意义。目前坐姿识别准确率偏低、装置调试复杂、成本较高,针对这些问题文中介绍了一种基于压力传感器的坐姿识别方法。该方法根据不同坐姿人体上半身8处监测位置压力传感器压力值的差异,实现对不同坐姿的识别。由测试实验的结果可知,此法能对4种坐姿进行识别,且在身高相同的条件下,压力值大小与体重的大小成正相关。在4种坐姿中,胸椎和腰椎处的压力值明显偏高。文中结果证明此方法能较好地应用于坐姿监测设备,实现对坐姿的识别和监测。

关键词: Arduino 单片机, 压力传感器, 坐姿研究, 坐姿识别, 被动式监测, 测试实验, 非穿戴, 智能装置

Abstract:

Sit recognition is of great significance to sit monitoring. In view of the problems of low accuracy, complex debugged and high cost of the existing sitting recognition device, a method of sitting posture recognition based on pressure sensor is introduced in this study. The method realizes the recognition of different sitting postures according to the difference of the pressure values of the pressure sensors at 8 monitoring positions on the upper body of the human body under different sitting postures. The test results show that the proposed method can identify four sitting positions, and under the same height, the pressure value is positively related to the weight. In the four sitting positions, the pressure values of the thoracic and lumbar vertebrae are significantly higher. These obtained results indicate that this method can be applied to sit sitting posture monitoring equipment, to realize the recognition and monitoring of sitting posture.

Key words: Arduino single chip microcomputer, pressure sensor, sitting posture research, sitting posture recognition, passive monitoring, test experiment, non-wearable, intelligent device

中图分类号: 

  • TP24