Department of Electronic Engineering, National Taipei University of Technology, No. 1, Sec. 3, Zhongxiao East Road, Taipei, 10608, Taiwan, ROC.
Biomed Eng Online. 2018 Nov 6;17(Suppl 2):157. doi: 10.1186/s12938-018-0584-3.
Pressure sensors have been used for sleeping posture detection, which meet privacy requirements. Most of the existing techniques for sleeping posture recognition used force-sensitive resistor (FSR) sensors. However, lower limbs cannot be recognized accurately unless thousands of sensors are deployed on the bedsheet.
We designed a sleeping posture recognition scheme in which FSR sensors were deployed on the upper part of the bedsheet to record the pressure distribution of the upper body. In addition, an infrared array sensor was deployed to collect data for the lower body. Posture recognition was performed using a fuzzy c-means clustering algorithm. Six types of sleeping body posture were recognized from the combination of the upper and lower body postures.
The experimental results showed that the proposed method achieved an accuracy of above 88%. Moreover, the proposed scheme is cost-efficient and easy to deploy.
The proposed sleeping posture recognition system can be used for pressure ulcer prevention and sleep quality assessment. Compared to wearable sensors and cameras, FSR sensors and infrared array sensors are unobstructed and meet privacy requirements. Moreover, the proposed method provides a cost-effective solution for the recognition of sleeping posture.
压力传感器已被用于检测睡眠姿势，满足隐私要求。现有的大多数睡眠姿势识别技术都使用力敏电阻（FSR）传感器。然而，除非在床单上部署数千个传感器，否则无法准确识别下肢。
我们设计了一种睡眠姿势识别方案，在床单的上部部署 FSR 传感器以记录上半身的压力分布。此外，还部署了一个红外阵列传感器来收集下半身的数据。使用模糊 c-均值聚类算法进行姿势识别。通过上下身姿势的组合，识别出六种睡眠身体姿势。
实验结果表明，所提出的方法的准确率超过 88%。此外，所提出的方案具有成本效益且易于部署。
所提出的睡眠姿势识别系统可用于预防压疮和评估睡眠质量。与可穿戴传感器和摄像头相比，FSR 传感器和红外阵列传感器无阻碍且满足隐私要求。此外，所提出的方法为睡眠姿势识别提供了一种具有成本效益的解决方案。
