Ontology-based Neurointerface IoT Integration Approach

Proceedings of the Institute for System Programming of the RAS. 2024. Vol. 36. No. 2. P. 91–108.

Лабутин И. А.

Recently, there is a surge of interest in employing neurocomputer interfaces for a control contours
implementation, especially for different infrastructures of Internet of Things. However, due to a low-level
nature of such devices and related software tools, neurointerface integration with a large variety of IoT devices
is quite a tedious task, and the one that requires a lot of knowledge in the neuroscience and signal processing
to boot. In the paper, we propose an ontology-driven solution for facing the upcoming challenges of unified
integration of brain-computer interfaces into IoT ecosystems. We demonstrate an adaptable mechanism for
integrating brain-computer interfaces into the Internet of Things infrastructure by introducing an intermediate
layer – a smart mediator that will be responsible for communication between the environment and the
neurointerface. The mediator’s software is generated automatically, and this process is driven by a managing
ontology. The proposed formal model and the system's implementation are described. The approach we have
developed enables researchers and engineers without strong background in brain–computer interface to
automate the integration neurointerfaces with different infrastructures of Internet of Things

Keywords: онтологический инжиниринг, интернет вещей, Internet of Things, ontology-driven solution, smart mediator, онтологически управляемое решение, интеллектуальный посредник