摘要
由一名新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-详细介绍了人工智能ce的数据。根据News Rx编辑在意大利帕尔马的新闻报道，研究表明：“本文基于微电子机械系统(MEMS)加速度计和物联网(IoT)嵌入式系统板，致力于检测床上人的睡眠常规和睡眠模式监测。”这项研究的资助者包括大学和研究部，该项目是由Pnc的Fra Mework“DareDigital终身预防项目”资助的。新闻记者从帕尔马大学的研究中获得了一句话：“这项工作通过远程向医生或家庭成员提供睡眠信息、患者评估和老年人护理。收集了大约21.6万条加速数据。”针对人工智能(AI)应用程序，将6种著名的机器学习(ML)算法分别在工作站进行了精确率、召回率、F1分和准确率的测试，并将4种最优算法编程到物联网板中进行实时状态分类。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on artificial intelligen ce have been presented. According to news reporting out of Parma, Italy, by News Rx editors, research stated, "This paper works on detecting a person in bed for sleep routine and sleep pattern monitoring based on the Micro-Electro-Mechanical Systems (MEMS) accelerometer and Internet of Things (IoT) embedded system board ." Funders for this research include Ministry of University And Research in The Fra mework of Pnc "daredigital Lifelong Prevention Project". The news reporters obtained a quote from the research from University of Parma: "This work provides sleep information, patient assessment, and elderly care for patients who live alone via tele-distance to doctors or family members. About 21 6,000 pieces of acceleration data were collected, including three classes: no pe rson in bed, a static laying position, and a moving state for Artificial Intelli gence (AI) application. Six well-known Machine-Learning (ML) algorithms were eva luated with precision, recall, F1- score, and accuracy in the workstation before implementing in the STM32-microcontroller for real-time state classification. Th e four best algorithms were selected to be programmed into the IoT board and app lied for real-time testing."
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