基于睡眠传感器的睡眠得分数据

基于睡眠传感器采集的用户睡眠数据，将多个睡眠参数进行融合，得到用于评价用户睡眠质量的得分数据。1）用户可根据此数据，知晓当晚的睡眠优良情况。2）用户可以根据近期历史睡眠得分数据的变化趋势，调整自己的睡眠作息习惯。3）用户可通过此数据，得知自己睡眠计划的有效性，给予用户可度量的正向反馈。1、 将每项因子进行数据预处理，进行归一化操作；
2、 对预处理过的特征匹配权重参数；
3、 权重参数的选择根据线性回归模型训练得来，训练标签来源于用户对自身睡眠状态的真实评价；
4、 对每项因子进行加权求和，得到最后的睡眠得分。

This dataset is developed based on user sleep data collected by sleep sensors, integrating multiple sleep parameters to generate scored data for evaluating user sleep quality. 1) Users can use this data to learn the sleep quality of that night. 2) Users can adjust their sleep habits according to the changing trend of recent historical sleep score data. 3) Users can confirm the effectiveness of their own sleep plans and obtain measurable positive feedback through this data. 1. Perform data preprocessing on each factor, including normalization operation; 2. Match weight parameters to the preprocessed features; 3. The weight parameters are derived from training via a linear regression model, and the training labels come from users' real evaluations of their own sleep status; 4. Perform weighted summation on each factor to obtain the final sleep score.

搜集汇总

数据集介绍

特点

该数据集包含基于睡眠传感器采集的1001条用户睡眠数据，每日更新，用于评价用户睡眠质量。数据通过算法处理多个睡眠参数得出睡眠得分，帮助用户了解睡眠状况并调整作息习惯。