Publications by authors named "David Bienvenido-Huertas"

Article Synopsis
  • Automatic detection of activities in indoor spaces, particularly bathrooms, is crucial for health surveillance as user behavior can indicate certain health issues.
  • This study aims to classify bathroom activities automatically using a new method that leverages environmental data and machine learning, while ensuring user privacy.
  • The innovative approach utilizes a pre-trained convolutional network to analyze environmental parameters, achieving about 80% accuracy in detecting key activities, making monitoring efficient and cost-effective.
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The Covid-19 pandemic has certainly changed behaviour patterns in many aspects of life, such as the management of solid wastes inside residential spaces. The goal of this research work is to study an ozone generator device as a disinfection and sterilization tool for these wastes in dwellings themselves, thus re-establishing the selective collection to take them back to the recycling chain. In addition, an approach to the risk verification is made.

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The COVID-19 pandemic has triggered serious economic crises in many countries. In Spain, millions of individuals have been ordered to remain at home and many are unemployed. The increased use of electrical appliances and low incomes make energy poverty highly likely.

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The application of adaptive comfort models is among the determinant factors to reduce greenhouse gas emissions in the building sector. This research studies the region of Andalusia (south of Spain). A cluster analysis is applied to 786 Andalusian municipalities, and 4 groups are established according to the potential of adaptive strategies.

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In southern European countries, summer temperatures could contribute to a high cooling energy consumption. Family units with fewer economic resources living in social dwellings could suffer from fuel poverty if they want to use air conditioning systems. Otherwise, they could face discomfort hours because of a natural ventilation without clear control criteria.

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One of the main modes of transmission and propagation of COVID-19 (SARS-CoV-2) is the direct contact with respiratory droplets transmitted among individuals at a certain distance. There are indoor spaces, such as dwellings, in which the transmission risk is high. This research aims to record and analyze risk close contacts in this scope, experimentally assessing the effectiveness of using electronic proximity warning sound devices or systems.

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