Smart wearable devices.
We aim to collect sensor data and feed it to our app for analytics and deep learning and push data to cloud using computing networks.
Our sensor system consists of multiple IMU devices, proximity sensors and flex sensors devices
Each IMU device is an integrated sensor with Accelerometer, Gyroscope and Magnetometer so in total we are tracking 9 axis of motion; acceleration, angular motion and orientation
Connecting the device over I2C, at 400 kHz to communicate with sensors Use of i2C mux to enable multiple slave device on same bus without address clashing
We can have up to 1000 sensor values per sensor at this speed
Use of an AVR/ARM controller to process data and upload to cloud