Snowball Lab is part of the Department of Computer Science at Purdue University. We create novel sensing technologies, signal processing and machine learning methods, low-power systems, and embedded intelligence to address important real-world problems. Our work spans applications in wearable computing, health, and human-computer interaction. We are particularly interested in building systems that are practical for everyday life, scalable beyond research prototypes, and robust for long-term deployment in real-world settings.
Research Themes
Wearable Computing
Transforming everyday accessories into intelligent wearable systems that enable new applications that were previously challenging or impossible.
Mobile Health
Enabling passive, accessible health monitoring in daily life that can capture transient health conditions to support onset detection and early intervention.
Low-Power Intelligence
Pushing the boundaries of low-power systems and embedded machine learning to enable ubiquitous intelligence while remaining unobtrusive.
Learn more about the team on the Members page and see our work on the Research page.
News
| May 29, 2026 | We are excited to organize the Health-Centric Wearable Devices workshop at UbiComp/ISWC 2026 in Shanghai, China! |
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| May 19, 2026 | Check out our new Multi-site PPG dataset paper, featuring more than 300 hours of in-the-wild data collected from emerging wearables, including earrings, rings, watches, and necklaces. |
| Apr 03, 2026 | Snowball Lab website officially launches! |
| Feb 01, 2026 | We are excited to organize the “Everyday Wearables for Personalized Health and Well-Being” Workshop at CHI 2026, join us there! |
