SleepSensei:一个自动睡眠质量监视器和睡眠持续时间估计器

Amrith Krishna, Madhumita Mallick, Bivas Mitra
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引用次数: 7

摘要

SleepSensei是一款自动睡眠质量监测器,可以估计用户的睡眠时间。它本质上建立了一个个性化的模型,用于确定给定用户的适当睡眠时间。在我们的模型中,借助多个相互连接的设备,我们将与用户周围环境相关的特征和与用户睡眠时运动相关的特征结合起来。我们在我们的系统中使用回归模型来计算用户的“睡眠份额”,并报告在7个用户上测试的MSE低至0.0041,使用超过一周的数据。我们还根据模型开发了一个基于“睡眠配额”概念的智能闹钟。根据所进行的调查,该警报的平均精度为0.87。我们还提出了深入的特征分析,以进一步了解个体睡眠行为。
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SleepSensei: An Automated Sleep Quality Monitor and Sleep Duration Estimator
SleepSensei is an automated sleep quality monitor and estimates the sleep duration for a user. It essentially builds a personalized model for determining the apt sleep duration for a given user. In our model, with the help of multiple inter-connected devices, we combine features related to user surroundings and those related to user movements during sleep. We use regression models in our system to calculate "sleep share" of a user, and report an MSE as low as 0.0041 when tested on 7 users, with more than a week's data. We also develop a smart alarm based on the notion of "sleep quota" from the model. The alarm has an average precision of 0.87 from the survey conducted. We also present an in-depth feature analysis to give further insights of individual sleep behavior.
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