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title={Quantitative mobility metrics from a wearable sensor predict incident parkinsonism in older adults},
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title={Smartphone and smartwatch-based biometrics using activities of daily living},
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title={A dataset for Wi-Fi-based human activity recognition in line-of-sight and non-line-of-sight indoor environments},
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title={Deep neural networks for human activity recognition with wearable sensors: Leave-one-subject-out cross-validation for model selection},
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}
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title={Verification, analytical validation, and clinical validation (V3): the foundation of determining fit-for-purpose for Biometric Monitoring Technologies (BioMeTs)},
author={Goldsack, Jennifer C and Coravos, Andrea and Bakker, Jessie P and Bent, Brinnae and Dowling, Ariel V and Fitzer-Attas, Cheryl and Godfrey, Alan and Godino, Job G and Gujar, Ninad and Izmailova, Elena and others},
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volume={3},
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year={2020},
publisher={Nature Publishing Group UK London},
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}
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title = {Sensor-based and vision-based human activity recognition: A comprehensive survey},
journal = {Pattern Recognition},
volume = {108},
pages = {107561},
year = {2020},
issn = {0031-3203},
doi = {https://doi.org/10.1016/j.patcog.2020.107561},
author = {L. {Minh Dang} and Kyungbok Min and Hanxiang Wang and Md. {Jalil Piran} and Cheol {Hee Lee} and Hyeonjoon Moon}
}
@article{sansano2020study,
title={A study of deep neural networks for human activity recognition},
author={Sansano, Emilio and others},
journal={Comput. Intell.},
volume={36},
number={3},
pages={1113--1139},
year={2020},
publisher={Wiley Online Library},
doi={10.1111/coin.12318}
}
@article{choi2022wi,
title={Wi-CaL: WiFi sensing and machine learning based device-free crowd counting and localization},
author={Choi, Hyuckjin and Fujimoto, Manato and Matsui, Tomokazu and Misaki, Shinya and Yasumoto, Keiichi},
journal={IEEE Access},
volume={10},
pages={24395--24410},
year={2022},
publisher={IEEE},
doi={10.1109/ACCESS.2022.3155812}
}
@article{gonzalez2022using,
title={Using mobile devices as scientific measurement instruments: Reliable android task scheduling},
author={Gonz{\'a}lez-P{\'e}rez, Alberto and Matey-Sanz, Miguel and Granell, Carlos and Casteleyn, Sven},
journal={Pervasive and Mobile Computing},
volume={81},
pages={101550},
year={2022},
publisher={Elsevier},
doi={10.1016/j.pmcj.2022.101550}
}
@article{gupta2022human,
title={Human activity recognition in artificial intelligence framework: a narrative review},
author={Gupta, Neha and Gupta, Suneet K and Pathak, Rajesh K and Jain, Vanita and Rashidi, Parisa and Suri, Jasjit S},
journal={Artificial intelligence review},
volume={55},
number={6},
pages={4755--4808},
year={2022},
publisher={Springer},
doi={10.1007/s10462-021-10116-x}
}
@article{jaen2022effects,
title={Effects of sliding window variation in the performance of acceleration-based human activity recognition using deep learning models},
author={Ja{\'e}n-Vargas, Milagros and others},
journal={PeerJ Computer Science},
volume={8},
pages={e1052},
year={2022},
publisher={PeerJ Inc.},
doi={10.7717/peerj-cs.1052}
}
@inproceedings{matey2022instrumented,
title={Instrumented Timed Up and Go Test Using Inertial Sensors from Consumer Wearable Devices},
author={Matey-Sanz, Miguel and Gonz{\'a}lez-P{\'e}rez, Alberto and Casteleyn, Sven and Granell, Carlos},
booktitle={International Conference on Artificial Intelligence in Medicine},
pages={144--154},
year={2022},
organization={Springer},
doi = {10.1007/978-3-031-09342-5\_14}
}
@misc{matey2022rp_tug,
author = {Miguel Matey-Sanz},
title = {{Code and data resources for "Instrumented Timed Up
and Go test using inertial sensors from consumer
wearable devices"}},
month = apr,
year = 2022,
publisher = {Zenodo},
version = {v1.0.1},
doi = {10.5281/zenodo.6405874},
}
@misc{matey2022tugsp,
author = {Miguel Matey-Sanz and
Alberto González-Pérez},
title = {TUG Test Smartphone Application},
month = dec,
year = 2022,
publisher = {Zenodo},
version = {v2.0.0},
doi = {10.5281/zenodo.7456835},
}
@misc{matey2022tugsw,
author = {Miguel Matey-Sanz and
Alberto González-Pérez},
title = {TUG Test Smartwatch Application},
month = dec,
year = 2022,
publisher = {Zenodo},
version = {v2.0.0},
doi = {10.5281/zenodo.7457098},
}
@inproceedings{arrotta2023domino,
title={DOMINO: A Dataset for Context-Aware Human Activity Recognition using Mobile Devices},
author={Arrotta, Luca and Civitarese, Gabriele and Presotto, Riccardo and Bettini, Claudio},
booktitle={2023 24th IEEE International Conference on Mobile Data Management (MDM)},
pages={346--351},
year={2023},
organization={IEEE},
doi={10.1109/MDM58254.2023.00063}
}
@article{gonzalez2023awarns,
title={AwarNS: A framework for developing context-aware reactive mobile applications for health and mental health},
author={Gonz{\'a}lez-P{\'e}rez, Alberto and Matey-Sanz, Miguel and Granell, Carlos and D{\'i}az-Sanahuja, Laura and Bret{\'o}n-L{\'o}pez, Juana and Casteleyn, Sven},
journal={Journal of Biomedical Informatics},
pages={104359},
year={2023},
publisher={Elsevier},
doi={10.1016/j.jbi.2023.104359}
}
@inproceedings{matey2023csi,
author={Matey-Sanz, Miguel and Torres-Sospedra, Joaquín and Moreira, Adriano},
booktitle={2023 13th International Conference on Indoor Positioning and Indoor Navigation (IPIN)},
title={Temporal Stability on Human Activity Recognition based on Wi-Fi CSI},
year={2023},
volume={},
number={},
pages={1-6},
doi={10.1109/IPIN57070.2023.10332214}
}
@misc{matey2023dataset,
author = {Matey-Sanz, Miguel and Casteleyn, Sven and Granell, Carlos},
title = {{Smartphone and smartwatch inertial measurements
from heterogeneous subjects for human activity
recognition.}},
month = oct,
year = 2023,
publisher = {Zenodo},
version = {v1.0.0-r1},
doi = {10.5281/zenodo.8398688}
}
@article{matey2023dib,
author = {Miguel Matey-Sanz and Sven Casteleyn and Carlos Granell},
title = {Dataset of inertial measurements of smartphones and smartwatches for human activity recognition},
journal = {Data in Brief},
volume = {51},
pages = {109809},
year = {2023},
issn = {2352-3409},
doi = {10.1016/j.dib.2023.109809},
}
@misc{matey2023rp_csi,
author = {Matey-Sanz, Miguel},
title = {{Reproducible package for "Temporal Stability on
Human Activity Recognition based on Wi-Fi CSI"}},
month = may,
year = 2023,
publisher = {Zenodo},
version = {v1.0.0},
doi = {10.5281/zenodo.7991716},
}
@misc{matey2023rp_impact_har,
author = {Matey-Sanz, Miguel},
title = {{Reproducible Package for "Analysis and Impact of
Training Set Size in Cross-Subject Human Activity
Recognition"}},
month = jul,
year = 2023,
publisher = {Zenodo},
version = {v1.0.0.071923},
doi = {10.5281/zenodo.8163542},
}
@inproceedings{matey2024analysis,
author="Matey-Sanz, Miguel and Torres-Sospedra, Joaqu{\'i}n and Gonz{\'a}lez-P{\'e}rez, Alberto and Casteleyn, Sven and Granell, Carlos",
title="Analysis and Impact of Training Set Size in Cross-Subject Human Activity Recognition",
booktitle="Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications",
year="2024",
publisher="Springer Nature Switzerland",
address="Cham",
pages="391--405",
doi={10.1007/978-3-031-49018-7_28},
isbn="978-3-031-49018-7",
}
@misc{matey2024bs,
author = {Matey-Sanz, Miguel and
Casteleyn, Sven and
Granell, Carlos},
title = {Background Sensors},
month = feb,
year = 2024,
publisher = {Zenodo},
version = {v1.3.0},
doi = {10.5281/zenodo.10635734},
}
@article{matey2024implementing,
author={Matey-Sanz, Miguel and González-Pérez, Alberto and Casteleyn, Sven and Granell, Carlos},
title={Implementing and evaluating the Timed Up and Go test automation using smartphones and smartwatches},
journal={IEEE Journal of Biomedical and Health Informatics},
year={2024},
volume={28},
number={11},
pages={6594--6605},
publisher={IEEE},
doi={10.1109/JBHI.2024.3456169}
}
@misc{matey2024ws,
author = {Matey-Sanz, Miguel and
Casteleyn, Sven and
Granell, Carlos},
title = {WearOS Sensors},
month = feb,
year = 2024,
publisher = {Zenodo},
version = {v1.2.1},
doi = {10.5281/zenodo.10640429},
}
@misc{matey2024nws,
author = {Matey-Sanz, Miguel and
Casteleyn, Sven and
Granell, Carlos},
title = {NativeScript WearOS Sensors},
month = feb,
year = 2024,
publisher = {Zenodo},
version = {v1.3.0},
doi = {10.5281/zenodo.10640461},
}