Publications

1.    Nakamura, E. T., & Ribeiro, S. L. (2018, June). A privacy, security, safety, resilience and reliability focused risk assessment methodology for IIoT systems steps to build and use secure IIoT systems. In 2018 Global Internet of Things Summit (GIoTS) (pp. 1-6). IEEE. [PDF]

2.    Barbosa, P., Leite, F., Santos, D., Figueiredo, A., & Galdino, K. (2018, June). Introducing Traceability Information Models in Connected Health Projects. In 2018 IEEE 31st International Symposium on Computer-Based Medical Systems (CBMS) (pp. 18-23). IEEE. [PDF]

3.    Bezerra, I.N. et al. Behavioral models applied to mHealth for the management of childhood obesity. In CBIS 2018, p.769 [PDF]

4.    Vasconcelos, J.E.F. et al. OCARIoT - Integrating mHealth, IoT to Support the facing of the Childhood Obesity. In CBIS 2018, p. 825 [PDF]

5.    Brasil, C.C.P. et al. Parents motivations for the participation of children in a project to combat childhood obesity. Extended Abstract. In 3rd International Conference on Childhood and Adolescence, p. 246 [PDF]

6.    Strategies for the adoption of healthy habits in the school environment: the role of the school promoting health. In 3rd International Conference on Childhood and Adolescence [PDF]

7.    Triantafyllidis, A., Alexiadis, A., Elmas, D., Votis, K., & Tzovaras, D. (2019, October). A Social Robot-based Platform for Prevention of Childhood Obesity. In 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE) (pp. 914-917). IEEE. [PDF]

8.    de Souza, J. T., de Campos, G. A. L., da Costa, L. F., Melo, R. T., Werbet, E., Rocha, C., & Alves, L. V. (2019, December). An Artificial Agent to Recommend Activities to Minimize Childhood Obesity Problems in an IoT System. In Anais da VII Escola Regional de Computação Aplicada à Saúde (pp. 139-144). SBC. [PDF]

9.    Nakamura, E. T., & Ribeiro, S. L. (2019, June). A Privacy, Security, Safety, Resilience and Reliability Focused Risk Assessment In a Health IoT System: Results from OCARIoT Project. In 2019 Global IoT Summit (GIoTS) (pp. 1-6). IEEE. [PDF]

10.    Ribeiro, S. L., & Nakamura, E. T. (2019, November). Pseudonymization Approach in a Health IoT System to Strengthen Security and Privacy Results from OCARIoT Project. In International Conference on Future Network Systems and Security (pp. 134-146). Springer, Cham. [PDF]

11.    Ribeiro, S., & Nakamura, E. (2019, October). Privacy Protection with Pseudonymization and Anonymization In a Health IoT System: Results from OCARIoT. In 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE) (pp. 904-908). IEEE. [PDF]

12.    Bastida, L., Moya, A., Gaeta, E., de Vasconcelos Filho, J. E., & Gabler, F. (2019). The Power of Gamification to Learn and Promote Healthy Habits among Children. In CEUR Workshop Proceedings. CEUR Workshop Proceedings. [PDF]

13.    Gabler, F. et al. Gamification for the Prevention of Childhood Obesity: Contributions of Behavior Analysis. Book “Comportamento em Foco vol.12“, pp. 97-110 [PDF]

14.  Barbosa, P., Figueiredo, A., Souto, S., Gaeta, E., Araujo, E., & Teixeira, T. (2020, July). An Open Source Software Architecture and Ready-To-Use Components for Health IoT. In 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS) (pp. 374-379). IEEE. [PDF]

15.  Torrego, M. et al. Association of lifestyle and early risk obesity variables with the BMI for age categories in Greek, Spanish and Brazilian schools. Abstract. European and International Congress on Obesity 2020. https://onlinelibrary.wiley.com/doi/10.1111/obr.13118

16.    Barbosa, P., Santos, D., Lucena, C., Bastida, L., Ferreira, J. F., & Cea, G. (2020, July). The OCARIoT Data Acquisition App. In 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS) (pp. 409-414). IEEE. [PDF]

17.    da Costa, L. F., de Melo, R. T., Alves, L. V., Rocha, C. L., de Oliveira Araujo, E. W., de Campos, G. A. L., ... & Tzovaras, D. (2020, July). Smart algorithm for unhealthy behavior detection in health parameters. In 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC) (pp. 654-663). IEEE. [PDF]

18.    de Souza, J. T., de Campos, G. A. L., Rocha, C., Werbet, E., Costa, L. F. D., de Melo, R. T., & Alves, L. V. (2020, March). An agent program in an IoT system to recommend activities to minimize childhood obesity problems. In Proceedings of the 35th Annual ACM Symposium on Applied Computing (pp. 654-661). [PDF]

19.    Alexiadis, A., Triantafyllidis, A., Elmas, D., Gerovasilis, G., Votis, K., & Tzovaras, D. (2020, September). A Social Robot-based Platform towards Automated Diet Tracking. In 2020 15th Conference on Computer Science and Information Systems (FedCSIS) (pp. 11-14). IEEE. [PDF]

20.    Alves, L. V., de Melo, R. T., da Costa, L. F., Rocha, C. L., Eriko, W. D. O., de Campos, G. A., & de Souza, J. T. (2020, July). An Agent Program in an IoT System to Recommend Plans of Activities to Minimize Childhood Obesity. In 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC) (pp. 674-683). IEEE. [PDF]

21.    Triantafyllidis, A., Polychronidou, E., Alexiadis, A., Rocha, C. L., Oliveira, D. N., da Silva, A. S., ... & Tzovaras, D. (2020). Computerized decision support and machine learning applications for the prevention and treatment of childhood obesity: A systematic review of the literature. Artificial Intelligence in Medicine, 104, 101844. [PDF]

22. Venetsanou, F., Emmanouilidou, K., Soutos, K., Sotiriou, S. A., Bastida, L., Moya, A., & Kambas, A. (2020). Towards a Functional Approach to the Assessment of Daily Life Physical Activity in Children: Are the PAQ-C and Fitbit Flex-2 Technically Adequate?. International Journal of Environmental Research and Public Health, 17(22), 8503. [PDF]

23. Triantafyllidis, A.; Alexiadis, A.; Soutos, K.; Fischer, T.; Votis, K.; Tzovaras, D. Comparison between Self-Reported and Accelerometer-Measured Physical Activity in Young versus Older Children. Digital 2021, 1, 103-110. https://doi.org/10.3390/digital1020008. [PDF]

Public Presentations

ICCA 2020-81518  Estratégias De Engajamento Para Adesão A Projeto De Prevenção Da Obesidade Infantil Baseado Em Iot E Gamificação.
José Eurico de Vasconcelos Filho - Universidade de Fortaleza Christina César Praça Brasil - Universidade de Fortaleza Fabiana Neiva Veloso Brasileiro - Universidade de Fortaleza José Fernando Rodrigues Ferreira Neto - Universidade de Fortaleza Felicia Gabler - Universidade de Fortaleza Diego Hernández Hernández - Universidade de Fortaleza

IEEE 2019 TRON Symposium - Tokyo – Japan
A Wide Risks, Security, and Privacy Assessment Methodology for Heterogeneous Components in IoT Systems
E.T. Nakamura, S. L. Ribeiro

Ribeiro, S. L., Nakamura, E., & Leal, R. L. V. A Proposal to Apply a Risk Assessment Methodology for IoT Systems to a Smart Childhood Obesity Caring Solution. [PDF]

UECE, State Congress of Health 2019, Health parameters for mhealth application focusing on childhood obesity management

ATLA, UECE, ERCA 2019, An Agent Program in an IoT System to Recommend Activities to Minimize Childhood Obesity Problems