Publikationen
Ubiquitous Multi-Occupant Detection in Smart Environments
| Autor | Fährmann, Daniel; Boutros, Fadi; Kubon, Philipp; Kirchbuchner, Florian; Kuijper, Arjan; Damer, Naser |
|---|---|
| Datum | 2024 |
| Art | Journal Article |
| Abstrakt | Recent advancements in ubiquitous computing have emphasized the need for privacy-preserving occupancy detection in smart environments to enhance security. This work presents a novel occupancy detection solution utilizing privacy-aware sensing technologies. The solution analyzes time-series data to detect not only occupancy as a binary problem, but also determines whether one or multiple individuals are present in an indoor environment. On three real-world datasets, our models outperformed various state-of-the-art algorithms, achieving F1-scores up to 94.91% in single-occupancy detection and a macro F1-score of 91.55% in multi-occupancy detection. This makes our approach a promising solution for improving security in smart environments. |
| ISSN | 0941-0643 |
| Projekt | Secure Urban Infrastructures |
| Url | https://publica.fraunhofer.de/handle/publica/457332 |
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