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Augmented Coaching Ecosystem for Non-obtrusive Adaptive Personalized Elderly Care on the Basis of Cloud-Fog-Dew Computing Paradigm | | Yu. Gordienko
; S. Stirenko
; O. Alienin
; K. Skala
; Z. Soyat
; A. Rojbi
; J.R. López Benito
; E. Artetxe González
; U. Lushchyk
; L. Sajn
; A. Llorente Coto
; G. Jervan
; | | Date: |
13 Apr 2017 | | Abstract: | The concept of the augmented coaching ecosystem for non-obtrusive adaptive
personalized elderly care is proposed on the basis of the integration of new
and 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 the
Cloud-Fog-Dew computing paradigm services, providing a full symbiosis by
integrating the whole range from low-level sensors up to high-level services
using integration efficiency inherent in synergistic use of applied
technologies. Inside of this ecosystem, all of them are encapsulated in the
following 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 dataflow
channels: consumer interaction channel, machine interaction channel, and
caregiver interaction channel. This concept allows to decrease the physical,
cognitive, and mental load on elderly care stakeholders by decreasing the
secondary human-to-human (H2H), human-to-machine (H2M), and machine-to-human
(M2H) interactions in favor of M2M interactions and distributed Dew Computing
services environment. It allows to apply this non-obtrusive augmented reality
ecosystem for effective personalized elderly care to preserve their physical,
cognitive, mental and social well-being. | | Source: | arXiv, 1704.4988 | | Services: | Forum | Review | PDF | Favorites | |
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