Smart baby monitor to help prevent SIDS
To monitor user safety, a sensor cluster collects and graphs data of obstacles in the blind spot, wheelchair speed, and degrees of tilt.
A smart and assistive IoT and Machine Learning-Based Device for people who have mild cognitive and motor impairments.
We developed an accurate, cheap test to measure IAIP concentration in the blood and used the data to predict mortality rates of sepsis.
This is a device which can monitor running track via a GPS module and store data to a SD card. And then parse the data later from a app.
Integrating the Microsoft Band’s heart rate sensor with a Particle Photon so you can visualize your heart rate with an RGB LED.
Our project aims to see whether there is a correlation between the intensity of particulate matter in air and people moving around.