智能床用户上床时间数据

以智能床上床时间为基础，可以在多个场景中应用：1）提高睡眠质量：准确记录上床时间可以帮助用户改善睡眠质量。根据记录的数据，用户可以分析自己的睡眠模式，发现是否存在睡眠障碍或睡眠质量不佳的问题。通过调整作息时间或采取其他措施，用户可以有针对性地改善睡眠质量，提高睡眠效果。2）数据分析和个性化建议：准确记录上床时间可以为用户提供数据分析和个性化建议。通过智能床的记录，用户可以了解自己的睡眠习惯、睡眠质量等相关数据。基于这些数据，厂商可以提供个性化的建议，如调整作息时间、改善睡眠环境等，帮助用户提升睡眠质量和生活品质。利用智能床的睡眠传感器，以5分钟做时间窗口，收集用户当晚体动、夜间在床信号强度数据。其中，夜间在床信号强度：0表示用户离床，非0表示用户在床；夜间体动共有5级，0表示未发生体动，1-4表示用户体动的强弱等级，数值越大越强。以在床信号强度数据为依据，从数据开始时间寻找离床转在床的跳变点,即0值转向非0值，取跳变点前后各20分钟数据，如果跳变点后20分钟体动和减去跳变点前20分钟体动和大于20，即在床后体动比在床前体动多，且跳变点后20分钟在床信号强度值非0的占比大于0.8，那么就认为该跳变点为上床时间点，如果遍历过程中存在多个上床点，那么取第一个作为用户的上床时间。

Based on the bedtime detected by smart beds, this dataset can be applied in multiple scenarios:
1. Improving sleep quality: Accurately recording bedtime can help users enhance their sleep quality. With the recorded data, users can analyze their own sleep patterns, identify potential sleep disorders or poor sleep quality issues. By adjusting their sleep schedules or taking other targeted measures, users can purposefully improve sleep quality and sleep outcomes.
2. Data analysis and personalized recommendations: Accurate bedtime recording can provide users with data analysis and personalized suggestions. Through the records from smart beds, users can obtain relevant data such as their sleep habits and sleep quality. Based on these data, manufacturers can provide personalized advice, such as adjusting sleep schedules, improving sleep environments, etc., to help users enhance their sleep quality and overall quality of life.

Using the sleep sensors of smart beds with a 5-minute time window, data on the user's body movements and nighttime in-bed signal strength for that night are collected. Specifically, the nighttime in-bed signal strength: 0 indicates the user is out of bed, while non-zero values indicate the user is in bed; there are 5 levels of nighttime body movements, where 0 means no body movement occurs, and 1-4 represent the intensity level of the user's body movements, with higher values indicating stronger movements.

Based on the in-bed signal strength data, we search for the transition point from out of bed to in bed starting from the start time of the dataset, i.e., the point where the signal value changes from 0 to non-zero. We extract the 20-minute data before and after this transition point. If the sum of body movements in the 20 minutes after the transition point minus the sum of body movements in the 20 minutes before the transition point is greater than 20 (meaning more body movements occur after entering the bed than before), and the proportion of non-zero in-bed signal strength values in the 20 minutes after the transition point is greater than 0.8, then this transition point is identified as the bedtime point. If multiple such bedtime points are found during the traversal process, the first one is taken as the user's official bedtime.

搜集汇总

数据集介绍

特点

该数据集名为“智能床用户上床时间数据”，由浙江麒盛数据服务有限公司和麒盛科技股份有限公司申请登记，属于信息传输、软件和信息技术服务业。数据集包含1001条记录，每日更新，主要字段包括用户ID、夜间体动、夜间在床信号强度和上床时间。数据通过智能床的睡眠传感器收集，用于分析用户睡眠模式，提供个性化建议以改善睡眠质量。