The E-care@home consortium consists of research groups from Örebro University (ORU), SICS Swedish ICT (SICS ICT), SICS East Swedish ICT (SICS East) and Mälardalen University (MDH), all with internationally recognized contributions to the core technologies needed for the realization of the scientific objectives of E-care@home. The team is based on a mutual interest in the area of ICT-enabled independent living at home of the elderly.
We believe that by integrating our complementary knowledge and competencies related to the topic of semantic interoperability, we will form a distributed research environment with the potential for scientific excellence as well as a profound impact on society and industry.
NES’s main contribution to E-care@home is providing innovative solutions for sensor network communication. The research will be based on, Contiki, an operating system for the IoT that stems from SICS. Contiki will be used in a number of sensors that will be deployed in the E-care@home test bed. SICS will also propose innovative solutions for low-power IP connectivity with guaranteed performance.
Contact person: Thiemo Voigt
SICS East contributes with leading competenece in language processing for extraction of terms and text transformations in connection with analyses of personal health-related data to support semantic interoperability. SICS East has special expertise in medical terminology and ontology systems, such as SNOMED CT, and their application for health records. In addition, SICS Eeast has solid experience of providing information services for care at home, particularly with respect to service design and evaluation of usability aspects.
Contact person: Sture Hägglund
ESS-H contributes with sensors and infrastructure to the research environment, in particular by buidling the IoT infrastructure used in E-care@home. In addition, ESS-H contributes with lower level data processing method.
Contact person: Maria Lindén
AASS main contributions to E-care@home reside in methods and techniques for non-monotonic reasoning, symbolic planning, types of knowledge represenation that anchor symbolic concepts from sensor data, and competences on applying sensor and robotic systems to real life applications in elderly care and independent living.
Contact person and coordinator of E-care@home: Amy Loutfi