Multisensor Monitoring System to Establish Correlations Between Sleep Performance and Environment Data

• Autores: Celestino Gonçalves, Fábio Silva, Paulo Novais, Cesar Analide
• Localización: Intelligent environments 2019: Workshop Proceedings of the 15th International Conference on Intelligent Environments / coord. por Andrés Muñoz Ortega, Sofia Ouhbi, Wolfgang Minker, Loubna Echabbi, Miguel Navarro Cía, 2019, ISBN 9781614999836, págs. 26-35
• Idioma: inglés
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• Resumen

  • The importance of sleep in people's lives and concern about their quality have both been gaining an increasing relevance and awareness. Nowadays, the number of people who use mobile and wearable devices to monitor their sleep and day activity is quite revealing. But while some of those recent devices may even provide reliable measurements of some of the sleep parameters and sleep structure itself, they do not provide yet a justification for what has led to that situation and to those values. With the present study, we intend to verify and establish relationships between some environmental factors, such as temperature, humidity, luminosity, noise or air quality and between sleep performance and activity during the day. Several time series machine learning models were used to predict sleep stages and to estimate the level of day activity of a person.