Wake Me Up When It's All Over

Inspiration

Falling asleep while studying for materials science during midterm week

What it does

An algorithm uses FSR pressure, accelerometer, and EDA (electrodermal activity) sensor data to detect when the user falls asleep. It then selects how best to wake the user up, depending on the state of the user.

Challenges we ran into

Multi-threading to interface with sensors while running signal processing algorithms was painful.

What we learned

Multi-threading in C++, interfacing with FSR and EDA sensors and photo resistors, ergonomic considerations when designing wearables.

What's next for Wake Me Up When It's All Over

Improvement of the algorithm to better use ECG and accelerometry data will allow for a more sophisticated and accurate algorithm for determining when the user has fallen asleep

Built With

Submitted to

SpartaHack 2016

Created by

I worked on coding the algorithm to implement the EDA sensor. I also created the project website using HTML/CSS.

Nikhil Keswani
University of Waterloo; Mechatronics Engineering 2020.
I wrote algorithms for collecting packaged data via Bluetooth and for processing this data to determine when the user falls asleep. I implemented these algorithms concurrently.

Can Cui
Worked on the wiring and programming of multiple sensors, and setting up the domain.

Rohan Agarwal