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[ Ongoing Project ]

SleepTracker

Description

ESP8266, Arduino, and Raspberry Pi-based realtime motion tracking for collection of body movements during sleep. The goal of this project is collection of data from body-worn sensing units to:

  • create a large dataset of body movements during sleep for use by researchers
  • make a low-cost system for detection and classification of sleep stages

Architecture

I will implement this project via two different architectures:

  1. Based on Arduino nano (and LilyPad) + nRF24L01 radio modules for sensors, and also a Raspberry Pi + nRF24L01 radio on the receive side.

image

  1. Based on ESP8266 module which has on chip integrated WiFi through which we can share data over a TCP/IP network.

image

Location of sensors

  • Two wrists
  • Two ankles

Electronics

Sensors

  • 3-Axis Accelerometer (ADXL345) operated on ranges of +/-4g and +/-16g
  • SODIAL(R) Pulse Sensor

Collector Schematic

image

Dataset Attributes

Age, Gender, Weight, Height Timestamp, HR Right Wrist AccX-4g, AccY-4g, AccZ-4g, AccX-16g, AccY-16g, AccZ-16g Left Wrist AccX-4g, AccY-4g, AccZ-4g, AccX-16g, AccY-16g, AccZ-16g Right Ankle AccX-4g, AccY-4g, AccZ-4g, AccX-16g, AccY-16g, AccZ-16g Left Ankle AccX-4g, AccY-4g, AccZ-4g, AccX-16g, AccY-16g, AccZ-16g

Main Electronic Components

  • Arduino Nano
  • LilyPad Arduino
  • Raspberry Pi 3 Model B
  • Accelerometer (ADXL345)
  • SODIAL(R) Pulse Sensor Heart Rate Sensor Heart Beat PulseSensor for Arduino Raspberry
  • nRF24L01 Single Chip 2.4 GHz Radio Transceiver
  • WINGONEER XL4016E1 DC Voltage Regulator
  • 9V/1A AC/DC power adaptor
  • CJMCU Mini USB Power Module
  • MPU9250 SPI/I2C 9-Axis Gyro Accelerator Magnetometer Module
  • TinyRTC module based on DS1307 for clock + CR1225 battery