AI RESEARCH
PoHAR: Understanding Hyperlocal Human Activities with Pollution Sensor Networks
arXiv CS.LG
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ArXi:2605.09434v1 Announce Type: cross Low-cost air quality sensors are becoming ubiquitous in our daily lives as public awareness of air pollution continues to grow, and people take measures to monitor and improve the air they breathe indoors. Besides the standard operation of these sensors, fluctuations in environmental parameters can be leveraged to understand human behavior and activities in indoor spaces. Unlike traditional audio-visual, Radio Frequency, and inertial sensors, air quality sensors are easily scalable to a household, are privacy-preserving, and economical.