FRANCISCO ASIS
FLOREZ REVUELTA
CATEDRATICO/A DE UNIVERSIDAD
Universidade da Beira Interior
Covilhã, PortugalPublicacións en colaboración con investigadores/as de Universidade da Beira Interior (25)
2021
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Recognition of activities of daily living based on a mobile data source framework
Studies in Computational Intelligence (Springer), pp. 321-335
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Towards detecting pneumonia progression in COVID-19 patients by monitoring sleep disturbance using data streams of non-invasive sensor networks
Sensors, Vol. 21, Núm. 9
2020
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A Review on the Artificial Intelligence Algorithms for the Recognition of Activities of Daily Living Using Sensors in Mobile Devices
Advances in Intelligent Systems and Computing (Springer), pp. 685-713
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A research on the classification and applicability of the mobile health applications
Journal of Personalized Medicine, Vol. 10, Núm. 1
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Activities of daily living and environment recognition using mobile devices: A comparative study
Electronics (Switzerland), Vol. 9, Núm. 1
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Identification of daily activites and environments based on the adaboost method using mobile device data: A systematic review
Electronics (Switzerland), Vol. 9, Núm. 1
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Mobile Applications Dedicated for Cardiac Patients: Research of Available Resources
Intelligent Systems Reference Library (Springer), pp. 107-119
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Pattern recognition techniques for the identification of activities of daily living using a mobile device accelerometer
Electronics (Switzerland), Vol. 9, Núm. 3
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Promotion of healthy nutrition and physical activity lifestyles for teenagers: A systematic literature review of the current methodologies
Journal of Personalized Medicine, Vol. 10, Núm. 1
2019
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Mobile applications for the promotion and support of healthy nutrition and physical activity habits: A systematic review, extraction of features and taxonomy proposal
Open Bioinformatics Journal, Vol. 13, Núm. 1, pp. 50-72
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Recognition of activities of daily living and environments using acoustic sensors embedded on mobile devices
Electronics (Switzerland), Vol. 8, Núm. 12
2018
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Android library for recognition of activities of daily living: Implementation considerations, challenges, and solutions
Open Bioinformatics Journal, Vol. 11, Núm. 1, pp. 61-88
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Approach for the development of a framework for the identification of Activities of Daily Living using sensors in mobile devices
Sensors (Switzerland), Vol. 18, Núm. 2
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Framework for the recognition of activities of daily living and their environments in the development of a personal digital life coach
DATA 2018 - Proceedings of the 7th International Conference on Data Science, Technology and Applications
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Identification of activities of daily living through data fusion on motion and magnetic sensors embedded on mobile devices
Pervasive and Mobile Computing, Vol. 47, pp. 78-93
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Limitations of the use of mobile devices and smart environments for the monitoring of ageing people
ICT4AWE 2018 - Proceedings of the 4th International Conference on Information and Communication Technologies for Ageing Well and e-Health
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Measurement of the reaction time in the 30-S chair stand test using the accelerometer sensor available in off-the-shelf mobile devices
ICT4AWE 2018 - Proceedings of the 4th International Conference on Information and Communication Technologies for Ageing Well and e-Health
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Multi-Sensor Mobile Platform for the Recognition of Activities of Daily Living and their Environments based on Artificial Neural Networks
IJCAI International Joint Conference on Artificial Intelligence
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Multi-Sensor Mobile Platform for the Recognition of Activities of Daily Living and their Environments based on Artificial Neural Networks
PROCEEDINGS OF THE TWENTY-SEVENTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE
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Pattern recognition techniques for the identification of activities of daily living using mobile device accelerometer
PeerJ, Vol. 6