CHI 2016

MyPart: Personal, Portable, Accurate Airborne Particle Counting

Rundong Tian, Christine Dierk, Christopher Myers, and Eric Paulos

Image-empty-state.png

Abstract:

In 2012, air pollution in both cities and rural areas was estimated to have caused 3.7 million premature deaths. The primary pollutant was small airborne particulate matter of 10 microns or less in diameter which led to the development of cardiovascular and respiratory diseases. In response, we developed MyPart, the first personal, portable, accurate, open source air particle sensor. We demonstrate how MyPart offers substantial enhancements over most existing air particle sensors by simultaneously improving accessibility, flexibility, portability, and accuracy. We describe the evolution and implementation of the sensor design, demonstrate its performance across everyday urban environments versus a calibrated instrument, and conduct a preliminary user study to report on the overall user experience of MyPart. We also present a novel mobile visualization interface and a series of simple form factor adaptations of our design.

Since publishing this research at CHI 2016, we have further iterated on the mechanical and electrical design of the sensor. In addition, we have documented detailed build instructions for the sensor itself, as well as a test chamber for running various automated experiments.

Links:

Video:

HEL Authors:

Image-empty-state.png

Eric Paulos

Image-empty-state.png

Chris Myers

Image-empty-state.png

Christine Dierk

Image-empty-state.png

Rundong (Kevin) Tian