Alirezaie Marjan, Renoux Jennifer, Köckemann Uwe, Kristoffersson Annica, Karlsson Lars, Blomqvist Eva, Tsiftes Nicolas, Voigt Thiemo, Loutfi Amy
Center for Applied Autonomous Sensor Systems, Örebro University, 70182 Örebro, Sweden.
RISE SICS East, 581 83 Linköping, Sweden.
Sensors (Basel). 2017 Jul 6;17(7):1586. doi: 10.3390/s17071586.
Smart home environments have a significant potential to provide for long-term monitoring of users with special needs in order to promote the possibility to age at home. Such environments are typically equipped with a number of heterogeneous sensors that monitor both health and environmental parameters. This paper presents a framework called E-care@home, consisting of an IoT infrastructure, which provides information with an unambiguous, shared meaning across IoT devices, end-users, relatives, health and care professionals and organizations. We focus on integrating measurements gathered from heterogeneous sources by using ontologies in order to enable semantic interpretation of events and context awareness. Activities are deduced using an incremental answer set solver for stream reasoning. The paper demonstrates the proposed framework using an instantiation of a smart environment that is able to perform context recognition based on the activities and the events occurring in the home.
智能家居环境具有巨大潜力，可为有特殊需求的用户提供长期监测，以提高在家养老的可能性。此类环境通常配备了许多异构传感器，用于监测健康和环境参数。本文提出了一个名为“家庭电子护理（E-care@home）”的框架，它由一个物联网基础设施组成，该基础设施能在物联网设备、终端用户、亲属、健康与护理专业人员及组织之间提供具有明确、共享含义的信息。我们专注于通过使用本体来整合从异构源收集的测量数据，以便实现对事件的语义解释和情境感知。活动是使用增量答案集求解器进行流推理得出的。本文通过一个智能环境实例展示了所提出的框架，该智能环境能够根据家中发生的活动和事件进行情境识别。
