Ilaria Bortone
Orcid: 0000-0002-4767-5334
According to our database1,
Ilaria Bortone
authored at least 23 papers
between 2014 and 2022.
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Bibliography
2022
Dietary Patterns Associated with Diabetes in an Older Population from Southern Italy Using an Unsupervised Learning Approach.
Sensors, 2022
Introducing wearable haptics for rendering velocity feedback in VR serious games for neuro-rehabilitation of children.
Frontiers Virtual Real., 2022
An Artificial Neural Network Model to Assess Nutritional Factors Associated with Frailty in the Aging Population from Southern Italy.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022
Brain Computer Interface: Deep Learning Approach to Predict Human Emotion Recognition.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022
The Cost-Benefit Analysis for the Validation of Next Generation EU Investments: An Application to the Healthcare Sector.
Proceedings of the Computational Science and Its Applications - ICCSA 2022 Workshops, 2022
2020
Proceedings of the Neural Approaches to Dynamics of Signal Exchanges, 2020
Activity Energy Expenditure Predicts Clinical Average Levels of Physical Activity in Older Population: Results from Salus in Apulia Study.
Sensors, 2020
Influence of clinical features of the spine on Gait Analysis in adolescent with idiopathic scoliosis.
Proceedings of the 2020 IEEE International Symposium on Medical Measurements and Applications, 2020
2019
A low-cost vision system based on the analysis of motor features for recognition and severity rating of Parkinson's Disease.
BMC Medical Informatics Decis. Mak., 2019
2018
A comparison between ANN and SVM classifiers for Parkinson's disease by using a model-free computer-assisted handwriting analysis based on biometric signals.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
A Supervised Approach to Classify the Status of Bone Mineral Density in Post-Menopausal Women through Static and Dynamic Baropodometry.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Assessment and Rating of Movement Impairment in Parkinson's Disease Using a Low-Cost Vision-Based System.
Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018
Recognition and Severity Rating of Parkinson's Disease from Postural and Kinematic Features During Gait Analysis with Microsoft Kinect.
Proceedings of the Intelligent Computing Theories and Application, 2018
2017
IEEE Trans. Haptics, 2017
Assistive Robot, RGB-D Sensor and Graphical User Interface to Encourage Communication Skills in ASD Population.
J. Medical Robotics Res., 2017
A fully immersive VR-based haptic feedback system for size measurement in inspection tasks using 3D point clouds.
Proceedings of the 26th IEEE International Symposium on Robot and Human Interactive Communication, 2017
Integration of serious games and wearable haptic interfaces for Neuro Rehabilitation of children with movement disorders: A feasibility study.
Proceedings of the International Conference on Rehabilitation Robotics, 2017
A Novel Approach in Combination of 3D Gait Analysis Data for Aiding Clinical Decision-Making in Patients with Parkinson's Disease.
Proceedings of the Intelligent Computing Theories and Application, 2017
2015
The PoSE Project: the Potential of Technological Learning for Postural Education in Schoolchildren.
EAI Endorsed Trans. e Learn., 2015
Proceedings of the 2015 IEEE World Haptics Conference, 2015
2014
Social Robots in Postural Education: A New Approach to Address Body Consciousness in ASD Children.
Proceedings of the Social Robotics - 6th International Conference, 2014
The PoSE Project: An Innovative Approach to Promote Healthy Postures in Schoolchildren.
Proceedings of the E-Learning, E-Education, and Online Training, 2014
A two-stage approach to bring the postural assessment to masses: The KISS-Health Project.
Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, 2014