BriefGPT.xyz
Dec, 2023
使用机器学习从佩戴在手腕上的加速度计数据标注儿童的睡眠状态
Annotating sleep states in children from wrist-worn accelerometer data using Machine Learning
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Ashwin Ram, Sundar Sripada V. S., Shuvam Keshari, Zizhe Jiang
TL;DR
通过使用支持向量机、提升算法、集成方法、LSTMs和基于区域的卷积神经网络等不同的机器学习技术对加速度计数据进行建模，我们旨在自动、准确、可扩展地对睡眠日志进行标注，以评估和比较这些方法的预测能力和模型性能。
Abstract
sleep detection
and
annotation
are crucial for researchers to understand sleep patterns, especially in children. With modern wrist-worn watches comprising built-in accelerometers, sleep logs can be collected. How
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