Improving Health Disabled People through Smart Wheelchair based on Fuzzy Ontology
Abdelhalim Hadjadj, Khaled Halimi · 2021
People with disabilities represent a large segment of society. They suffer from many disabilities that prevent them from carrying out normal daily activities, including monitoring their health status. To improve the health monitoring of people with disabilities, this study proposes an edge-cloud-based IoT architecture that uses the smart wheelchair as an edge for real-time health monitoring and a cloud to provide more diagnosis in complicated cases that require complex data processing. We proposed a system based on this architecture that uses the Semantic Web to overcome data heterogeneity from different sources and ensure interoperability. The system also incorporates fuzzy logic to improve diagnostic accuracy by dealing with imprecision and uncertainty in knowledge.