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ISTE Sleep Analytics

Sleep Project 2017

Overview

  • The primary objective of the project is to monitor the correlation of sleep quality and environmental factors (Sleep Hygiene) via data collected from air quality, light, temperature and humidity sensors.
  • This forms an Internet of Things sensor network hosted on a Raspberry Pi server. By analyzing the data thus obtained, meaningful results are hoped to be derived. Sleep Block Diagram.png

Results

Sleep Quality Measurements : Range from 68-77 (Purple - Yellow)

  • Morning & Night Measurements Data_all
  • Morning Measurements Data_50_above
  • Night Measurements Data_50_above
  • Sleep Quality vs. Air Quality S
  • Sleep Quality based on: Steps VS Minutes StepsvMinutes