Collecting big behavioral data for measuring behavior against obesity
| Autor: | Papapanagiotou, Vasileios, Sarafis, Ioannis, Diou, Christos, Ioakimidis, Ioannis, Charmandari, Evangelia, Delopoulos, Anastasios |
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| Rok vydání: | 2020 |
| Předmět: | |
| Druh dokumentu: | Working Paper |
| DOI: | 10.1109/EMBC44109.2020.9175313 |
| Popis: | Obesity is currently affecting very large portions of the global population. Effective prevention and treatment starts at the early age and requires objective knowledge of population-level behavior on the region/neighborhood scale. To this end, we present a system for extracting and collecting behavioral information on the individual-level objectively and automatically. The behavioral information is related to physical activity, types of visited places, and transportation mode used between them. The system employs indicator-extraction algorithms from the literature which we evaluate on publicly available datasets. The system has been developed and integrated in the context of the EU-funded BigO project that aims at preventing obesity in young populations. Comment: Accepted version to be published in 2020, 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Montreal, Canada |
| Databáze: | arXiv |
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