DIY-PressMat: A Smart Sensor Mat for Posture Detection Applicable for Bed-exit Intention Detection, Pressure Ulcer Prevention, and Sleep Apnea Mitigation
DIY-PressMat: A Smart Sensor Mat for Posture Detection Applicable for Bed-exit Intention Detection, Pressure Ulcer Prevention, and Sleep Apnea Mitigation
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DIY-PressMat：用于姿势检测的智能传感器垫，适用于离床意图检测、压疮预防和睡眠呼吸暂停缓解
DOI：
10.1145/3453892.3454001
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
G. Bieber
中科院分区：
文献类型：
--
作者：
Denys J. C. Matthies;Marian Haescher;Wencke Chodan;G. Bieber
在这项研究中，我们提出了一种概念验证的DIY床传感器垫，能够检测五种用户姿势，包括：仰卧位、俯卧位、侧卧位（左）、侧卧位（右）和坐位。我们的原型包含两种类型的传感器：压力块和电容传感。为了了解准确性，我们对 11 名参与者进行了一项研究，并开发了一个机器学习模型，显示对于未知用户的准确性为 85%。事实上，夜间姿势会持续到人一生的三分之一，因此姿势检测可能特别有趣。启用的应用场景包括压疮预防、离床意图检测、糖尿病检测和睡眠呼吸暂停缓解。
In this research, we present a proof-of-concept Do-It-Yourself (DIY) bed sensor mat that is capable to detect five user postures, including: Supine position, Prone position, Lateral position (left), Lateral position (right), and Sitting. Our prototype incorporates two types of sensors: Pressure Tiles and Capacitive Sensing. To gain an impression on the accuracy, we conducted a study with 11 participants and developed a machine learning model showing accuracy of 85% for an unknown user. In fact, nocturnal postures extend to a third of ones lifetime and therefore, a posture detection can be particularly interesting. Enabled application scenarios include pressure ulcer prevention, bed-exit intention detection, diabetes detection, and sleep apnea mitigation.
影响因子：
9.1
作者：
Malhotra, Atul;Loscalzo, Joseph
通讯作者：
Loscalzo, Joseph