Joana Raquel Silva
Joana Raquel Silva
Fraunhofer AICOS Portugal
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
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
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
Smartphone based human activity prediction
JRC da Silva
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
Comparing machine learning approaches for fall risk assessment
J Silva, J Madureira, C Tonelo, D Baltazar, C Silva, A Martins, C Alcobia, ...
International Conference on Bio-inspired Systems and Signal Processing 5†…, 2017
A Semi-Automatic Annotation Approach for Human Activity Recognition
P Bota, J Silva, D Folgado, H Gamboa
Sensors 19 (3), 501, 2019
Human activity classification with inertial sensors
J Silva, M Monteiro, F Sousa
PHealth: International Conference on Wearable Micro and Nano Technologies†…, 2014
iBoccia: A Framework to Monitor the Boccia Gameplay in Elderly
V Silva, J Ramos, F Soares, P Novais, P Arezes, F Sousa, J Silva, ...
European Congress on Computational Methods in Applied Sciences and†…, 2017
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
A wearable and non-wearable approach for gesture recognition—Initial results
V Silva, J Ramos, F Soares, P Novais, P Arezes, C Figueira, J Silva, ...
2017 9th International Congress on Ultra Modern Telecommunications and†…, 2017
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
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
International Conference on Entertainment Computing, 103-114, 2018
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
iBoccia: monitoring elderly while playing Boccia gameplay
C Figueira, JR Silva, A Santos, F Sousa, VCA Silva, JRM Ramos, ...
SCITEPRESS–Science and Technology Publications, 2017
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
Inertial Sensors for Assessment of Joint Angles
S Carneiro, J Silva, J Madureira, D Moreira, V Guimar„es, A Santos, ...
sensors 1, 1, 2016
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
A Technological Solution for Supporting Fall Prevention Exercises at the Physiotherapy Clinic
J Silva, D Moreira, J Madureira, E Pereira, A Dias, I Sousa
2018 IEEE International Symposium on Medical Measurements and Applications†…, 2018
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