Joana Raquel Silva
Joana Raquel Silva
Data Scientist at Continental
Verified email at
Cited by
Cited by
Accelerometer-based fall detection for smartphones
B Aguiar, T Rocha, J Silva, I Sousa
Medical Measurements and Applications (MeMeA), 2014 IEEE International …, 2014
A semi-automatic annotation approach for human activity recognition
P Bota, J Silva, D Folgado, H Gamboa
Sensors 19 (3), 501, 2019
Monitoring physical activity and energy expenditure with smartphones
B Aguiar, J Silva, T Rocha, S Carneiro, I Sousa
Biomedical and Health Informatics (BHI), 2014 IEEE-EMBS International …, 2014
Proceedings of the 3rd IPLeiria’s International Health Congress: Leiria, Portugal. 6-7 May 2016
CC Tomás, E Oliveira, D Sousa, M Uba-Chupel, G Furtado, C Rocha, ...
BMC Health Services Research 16, 111-242, 2016
Comparing Machine Learning Approaches for Fall Risk Assessment.
J Silva, J Madureira, C Tonelo, D Baltazar, C Silva, A Martins, C Alcobia, ...
BIOSIGNALS, 223-230, 2017
Multifactorial screening tool for determining fall risk in community-dwelling adults aged 50 years or over (FallSensing): protocol for a prospective study
AC Martins, J Moreira, C Silva, J Silva, C Tonelo, D Baltazar, C Rocha, ...
JMIR research protocols 7 (8), e10304, 2018
Instrumented timed up and go: Fall risk assessment based on inertial wearable sensors
J Silva, I Sousa
2016 IEEE International Symposium on Medical Measurements and Applications …, 2016
Accelerometer-based methods for energy expenditure using the smartphone
S Carneiro, J Silva, B Aguiar, T Rocha, I Sousa, T Montanha, J Ribeiro
2015 ieee international symposium on medical measurements and applications …, 2015
Maternal and fetal outcomes of pregnancy in chronic kidney disease: diagnostic challenges, surveillance and treatment throughout the spectrum of kidney disease
IF Gouveia, JR Silva, C Santos, C Carvalho
Brazilian Journal of Nephrology 43, 88-102, 2021
Smartphone based human activity prediction
JRC da Silva
Wearable embedded intelligence for detection of falls independently of on-body location
J Alves, J Silva, E Grifo, C Resende, I Sousa
Sensors 19 (11), 2426, 2019
Eating and drinking recognition in free-living conditions for triggering smart reminders
D Gomes, J Mendes-Moreira, I Sousa, J Silva
Sensors 19 (12), 2803, 2019
Automated development of custom fall detectors: Position, model and rate impact in performance
J Silva, D Gomes, I Sousa, JS Cardoso
IEEE Sensors Journal 20 (10), 5465-5472, 2020
A technological-based platform for risk assessment, detection, and prevention of falls among home-dwelling older adults: protocol for a Quasi-Experimental Study
F Araújo, MN Nogueira, J Silva, S Rego
JMIR research protocols 10 (8), e25781, 2021
Design and evaluation of a fall prevention multiplayer game for senior care centres
J Silva, E Oliveira, D Moreira, F Nunes, M Caic, J Madureira, E Pereira
Entertainment Computing–ICEC 2018: 17th IFIP TC 14 International Conference …, 2018
Nota sôbre o valor diagnóstico da esporotriquina
JR Silva, AP Gonçalves
Hospital (Rio de Janeiro) 38, 625-631, 1950
Fusion of clinical, self-reported, and multisensor data for predicting falls
J Silva, I Sousa, JS Cardoso
IEEE journal of biomedical and health informatics 24 (1), 50-56, 2019
Transfer learning approach for fall detection with the FARSEEING real-world dataset and simulated falls
J Silva, I Sousa, J Cardoso
2018 40th Annual International Conference of the IEEE Engineering in …, 2018
Classification of knee arthropathy with accelerometer-based vibroarthrography.
D Moreira, J Silva, MV Correia, M Massada
Studies in health technology and informatics 224, 33-39, 2016
Case-based study of metrics derived from instrumented fall risk assessment tests
A Martins, J Silva, A Santos, J Madureira, C Alcobia, L Ferreira, P Mendes, ...
Preprints, 2016
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