[ 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.

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

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

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