The concept of the augmented coaching ecosystem for non-obtrusive adaptivepersonalized elderly care is proposed on the basis of the integration of newand available ICT approaches. They include the multimodal user interface(MMUI), augmented reality (AR), machine learning (ML), Internet of Things(IoT), and machine-to-machine (M2M) interactions. The ecosystem is based on theCloud-Fog-Dew computing paradigm services, providing a full symbiosis byintegrating the whole range from low-level sensors up to high-level servicesusing integration efficiency inherent in synergistic use of appliedtechnologies. Inside of this ecosystem, all of them are encapsulated in thefollowing network layers: Dew, Fog, and Cloud computing layer. Instead of the"spaghetti connections", "mosaic of buttons", "puzzles of output data", etc.,the proposed ecosystem provides the strict division in the following dataflowchannels: consumer interaction channel, machine interaction channel, andcaregiver interaction channel. This concept allows to decrease the physical,cognitive, and mental load on elderly care stakeholders by decreasing thesecondary human-to-human (H2H), human-to-machine (H2M), and machine-to-human(M2H) interactions in favor of M2M interactions and distributed Dew Computingservices environment. It allows to apply this non-obtrusive augmented realityecosystem for effective personalized elderly care to preserve their physical,cognitive, mental and social well-being.
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