Suit Mobility Data

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  Sensors (Potentiometers)

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  Data Acquisition

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  Model Arm

Inspiration

One of the problem statements listed required an algorithm that took readily available media (pictures and video) and determined the suit mobility. Our team determined that physical sensors would provide more actuate mobility data. As a team we decided to create a demonstration to display a simplified model and use sensors to determine the mobility of a 3D printed arm consisting of a shoulder and elbow joint.

What it does

A 3D printed model arm is set on a stand and the motion of the arm is recorded using an Arduino Mega. That motion data is then transferred to Google Firebase using a raspberry pi.

How we built it

The arm model was 3D printed using PLA plastic. Potentiometers were used to record the motion data on the two joints (shoulder and elbow). That data was logged using an Arduino Mega and transferred to Google Firebase using a raspberry pi. That data is then received on a laptop and plotted using Python.

Challenges we ran into

Both of us were new to visually displaying the suit motion in real time.

Accomplishments that we're proud of

The build of the model, the data acquisition, and the data transfer all work well.

What we learned

We were both new to transferring data between an Arduino and a Raspberry Pi.

What's next for Suit Mobility Data

For future work, we would like to attempt using accelerometers instead of potentiometers. We would also like to explore new ways of displaying the motion data visually.

Built With

• arduino
• firebase
• python
• raspberry-pi
• unity