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iSleep: A Smartphone System for Unobtrusive Sleep Quality Monitoring

机译：isleep：一个用于不引人注目的睡眠质量监测的智能手机系统

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摘要

The quality of sleep is an important factor in maintaining a healthy life style. A great deal of work has been done for designing sleep monitoring systems. However, most of existing solutions bring invasion to users more or less due to the exploration of the accelerometer sensor inside the device. This article presents iSleep-a practical system to monitor people's sleep quality using off-the-shelf smartphone. iSleep uses the built-in microphone of the smartphone to detect the events that are closely related to sleep quality, and infers quantitative measures of sleep quality. iSleep adopts a lightweight decision-tree-based algorithm to classify various events. For two-user scenario, iSleep differentiates the events of two users either when two phones can collaborate with each other or when two phones cannot communicate with each other. The experimental results show that iSleep achieves consistently above 90% accuracy for event classification in a variety of different settings in one-user scenario and above 92% accuracy for distinguishing users in two-user scenario. By providing a fine-grained sleep profile that depicts details of sleep-related events, iSleep allows the user to track the sleep efficiency over time and relate irregular sleep patterns to possible causes.
机译：睡眠质量是保持健康生活方式的重要因素。为设计睡眠监测系统已经完成了大量工作。然而，由于设备内的加速度计传感器探索，现有的大部分解决方案将更多或更少地为用户带来入侵。本文提出了一种实用的系统，可以使用现成的智能手机监控人们的睡眠质量。 isleep使用智能手机的内置麦克风来检测与睡眠质量密切相关的事件，并且是睡眠质量的定量测量。 isleep采用轻量级决策树的算法来分类各种事件。对于双用户场景，isleep将两个手机彼此协作或两部手机无法互相通信时，为两个用户的事件区分开来。实验结果表明，Isleep在一个用户场景中的各种不同设置中的活动分类中始终如一地实现了90％的精度，以高于92％的精度，以区分用户在两个用户场景中。通过提供一种细粒度的睡眠简介，描绘了与睡眠相关事件的细节，isleep允许用户随时间跟踪睡眠效率并将不规则的睡眠模式与可能的原因相关联。

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