Quantifying Tremor Activities in Parkinson's Disease Using Motion Sensors

Overview

I developed a low-cost device to measure tremors, which are small, involuntary movements often seen in conditions like Parkinson’s disease. I was inspired to do this after seeing how difficult it can be to track these symptoms without expensive medical equipment. Using a small microcontroller with built-in motion sensors, I explored a system that can detect movement, measure how fast it occurs, and show how strong it is. I tested the device by keeping it still, shaking it at different speeds, and wearing it on my wrist to simulate real-life use. The results showed that the device could clearly detect changes in movement and identify patterns. This project matters because it shows that simple and affordable technology can help us better understand tremors, which could lead to more accessible ways to monitor and support people with neurological conditions.

Awards (1)

• Selected for CWSF 2026

Competition history

• CWSF 2026 Disease & Illness

Related projects

Closest projects by meaning, across every fair and year in the corpus.