Cognitive Amplifier for Internet of Things
This addresses the problem of enhancing IoT systems for improved user convenience, but it appears incremental as it builds on existing cognitive and IoT concepts without introducing a major breakthrough.
The authors tackled the problem of augmenting IoT devices with cognitive capabilities to improve life convenience by developing a Cognitive Amplifier framework with knowledge discovery and prediction components, and experimental results on real-life data validated its feasibility and applicability.
We present a Cognitive Amplifier framework to augment things part of an IoT, with cognitive capabilities for the purpose of improving life convenience. Specifically, the Cognitive Amplifier consists of knowledge discovery and prediction components. The knowledge discovery component focuses on finding natural activity patterns considering their regularity, variations, and transitions in real life setting. The prediction component takes the discovered knowledge as the base for inferring what, when, and where the next activity will happen. Experimental results on real-life data validate the feasibility and applicability of the proposed approach.