| Accelerometer-based fall detection for smartphones B Aguiar, T Rocha, J Silva, I Sousa Medical Measurements and Applications (MeMeA), 2014 IEEE International …, 2014 | 163 | 2014 |
| A semi-automatic annotation approach for human activity recognition P Bota, J Silva, D Folgado, H Gamboa Sensors 19 (3), 501, 2019 | 50 | 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 | 45 | 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 | 38 | 2016 |
| 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 | 35 | 2018 |
| 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 | 34 | 2017 |
| 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 | 31 | 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 | 21 | 2015 |
| Smartphone based human activity prediction JRC da Silva | 18 | 2013 |
| 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 | 15 | 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 | 14 | 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 | 13 | 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 | 11 | 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 | 11 | 2018 |
| Nota sôbre o valor diagnóstico da esporotriquina JR Silva, AP Gonçalves Hospital (Rio de Janeiro) 38, 625-631, 1950 | 11 | 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 | 10 | 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 | 9 | 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 | 9 | 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 | 9 | 2016 |
| Human activity classification with inertial sensors J Silva, M Monteiro, F Sousa PHealth: International Conference on Wearable Micro and Nano Technologies …, 2014 | 8 | 2014 |
Inês SousaFraunhofer Portugal AICOSVerified email at fraunhofer.pt
