Name
Abstract | ||
|---|---|---|
Robust, wide-area sensing of human environments has been a long-standing research goal. We present Sozu, a new low-cost sensing system that can detect a wide range of events wirelessly, through walls and without line of sight, at whole-building scale. To achieve this in a battery-free manner, Sozu tags convert energy from activities that they sense into RF broadcasts, acting like miniature self-powered radio stations. We describe the results from a series of iterative studies, culminating in a deployment study with 30 instrumented objects. Results show that Sozu is very accurate, with true positive event detection exceeding 99%, with almost no false positives. Beyond event detection, we show that Sozu can be extended to detect richer signals, such as the state, intensity, count, and rate of events.
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Year | DOI | Venue |
|---|---|---|
2019 | 10.1145/3332165.3347952 | Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology |
Keywords | Field | DocType |
activity sensing, battery-free, context-aware computing, internet-of-things, wireless sensing | Sensing system,Software deployment,Computer science,Internet of Things,Real-time computing,Human–computer interaction,False positive paradox | Conference |
ISBN | Citations | PageRank |
978-1-4503-6816-2 | 2 | 0.35 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yang Zhang | 1 | 189 | 43.34 |
| Yasha Iravantchi | 2 | 9 | 2.11 |
| Haojian Jin | 3 | 46 | 10.08 |
| Swarun Kumar | 4 | 393 | 35.36 |
| Chris Harrison | 5 | 2800 | 150.70 |