Titlebook: Ubiquitous Computing and Ambient Intelligence; 10th International C Carmelo R. García,Pino Caballero-Gil,Alexis Quesad Conference proceedin

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Activity Recognition Using Dynamic Instance Activationions of data incompleteness and inconsistency. To achieve this, the proposed methodology attempts to maximise the accuracy of the classification process in a way that does not compromise the overall computational effort..In this research, DIA was evaluated in the context of Human Activity Recognitio

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Impact of Medical History on Technology Adoption in Utah Population Databaseution for people with dementia. The adoption model was built using 24 categorised features. The .NN classification algorithm gave the best performance with 85.8 % accuracy. Whilst data from the UPDB is more readily available than that in our previous work, the results highlight the benefit of includ

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Improving the Quality of User Generated Data Sets for Activity Recognition scale, high quality, annotated data sets. In an effort to address this the Open Data Initiative (ODI) was conceived as a potential solution for the creation of shared resources for the collection and sharing of open data sets. As part of this process, an analysis was undertaken of datasets collecte

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Personalizing Physical Effort Estimation in Workplaces Using a Wearable Heart Rate Sensorto capture physiological values to obtain individual efforts for each worker due to physical activities. Heart rate based ergonomic methods provide results that show drudgery of a work activity for each person. In this paper, we show some experiments that highlight the importance when using custom m

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Have You Also Seen That? Collaborative Alert Assessment in Ad Hoc Participatory Sensingation about events and incidents in the city. However, easy contribution may result in the transmission of larges amount of data, some of them being duplicate or not relevant. We have proved that collaboratively filtering the information to be disseminated improves network efficiency while maintaini

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