A System for Objectively Measuring Behavior and the Environment to Support Large-scale Studies on Childhood Obesity

Advances in IoT technologies combined with new algorithms have enabled the collection and processing of high-rate multi-source data streams that quantify human behavior in a fine-grained level and can lead to deeper insights on individual behaviors as well as on the interplay between behaviors and t...

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Veröffentlicht in:	IEEE journal of biomedical and health informatics 2025-01, p.1-13
Hauptverfasser:	Papapanagiotou, Vasileios, Sarafis, Ioannis, Alagialoglou, Leonidas, Gkolemis, Vasileios, Diou, Christos, Delopoulos, Anastasios
Format:	Artikel
Sprache:	eng
Schlagworte:	Behavior Monitoring Behavioral Studies Big Data Bioinformatics Health Informatics Machine Learning Monitoring Obesity Pediatrics Prevention and mitigation Public Health Public healthcare Real-World Data Sensor systems Systems architecture Wearable Health Monitoring Wearable Health Monitoring Systems
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