IoT Technologies for Health Care

Security and Privacy.- Software and application security.-  Non-intrusive and privacy preserving activity recognition system for infants exploiting smart toys.- Human-centered Computing - Ubiquitous and mobile computing.- Co-design the acceptability of Wearables in the Healthcare field.- Evaluations on Pending Regulation on Ethical Review Measures for Biomedical Research Involving Human Subjects and Artificial Intelligence.- Integration of Wearable, Persuasive, and Multimedia Design Principles in Enhancing Depression Awareness: A Conceptual Mode.- Information Systems – Information retrieval.- A Comparative Study of Data Mining Techniques applied to Renal-Cell Carcinomas.- Predicting Diabetes Disease in the Female Adult Population, using Data Mining.- Not Just A Matter of Accuracy: A fNIRS Pilot Study into Discrepancy between Sleep Data and Subjective Sleep Experience in Quantified-Self Sleep Tracking.- Detection of Diabetic Retinopathy Using CNN.- Pulp Stone Detection Using Deep Learning Techniques.- Identification of Drug-Drug Interactions Using OCR.- Applied computing - Physical sciences and engineering.- Patients behaviour monitoring inside a hospital garden: comparison between RADAR and GPS solutions.- IoT-Enabled Analysis of Subjective Sound Quality Perception Based on Out-of-Lab Physiological Measurements.- CS-Based Decomposition of Acoustic Stimuli-Driven GSR Peaks Sensed by an IoT-Enabled Wearable GAIToe: Gait Analysis Utilizing an IMU for Toe Walking Detection and Intervention.- Applied computing – Life and Medical sciences 16 Prediction of Conversion to Alzheimer’s Disease using 3D-DWT and PCA.- DIY Wrist-Worn Device for Physiological Monitoring: Metrological Evaluation at Different Band Tightening Levels.