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Ambient Intelligence At-Home Laboratory for Human Everyday Life

Authors:

Dmitry G. Korzun,

Alexander V. Borodin,

Yulia V. Zavyalova,

Alexander Yu. Meigal,

Liudmila I. Gerasimova-MeigalAuthors Info & Claims

International Journal of Embedded and Real-Time Communication Systems (IJERTCS), Volume 10, Issue 2

Pages 117 - 134

https://doi.org/10.4018/IJERTCS.2019040108

Published: 01 April 2019 Publication History

Abstract

The relation of artificial intelligence (AI) and human intelligence (HI) still needs better understanding. In this article, the authors develop the fourth brain concept where AI is considered as a specific form of HI evolution. The concept development considers evolutionary and ontogenetic insights on intelligence. The forth brain can be implemented using ambient intelligence (AMI) environments that surround humans in everyday life. AMI environment allows scaffolding and other assistance information services to compensate for the HI function decay. This article proposes an at-home laboratory (AHL) design where an AMI environment is deployed at home and using everyday devices. In this setting, AHL provides a functionally equivalent alternative to the professional healthcare laboratory, though less accurate and advanced in regard to data measurements and the assistance information value.

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Cited By

Huang CChou T(2023)Examining the Dilemma Between Artificial Intelligence Techniques and Professional Medical Service: A Hybrid Balancing PerspectiveIT Professional10.1109/MITP.2023.324656025:2(36-40)Online publication date: 1-Mar-2023
https://dl.acm.org/doi/10.1109/MITP.2023.3246560
Tianxing MZhukova NJiafeng YLebedev S(2022)An Architecture of the Semantic Meta Mining Assistant for Adaptive Domain-Oriented Data ProcessingInternational Journal of Embedded and Real-Time Communication Systems10.4018/IJERTCS.30211113:1(1-38)Online publication date: 29-Jun-2022
https://dl.acm.org/doi/10.4018/IJERTCS.302111
Shahzad SAhmed DNaqvi MMushtaq MIqbal MMunir F(2021)Ontology Driven Smart Health Service IntegrationComputer Methods and Programs in Biomedicine10.1016/j.cmpb.2021.106146207:COnline publication date: 1-Aug-2021
https://dl.acm.org/doi/10.1016/j.cmpb.2021.106146
Show More Cited By

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Published In

cover image International Journal of Embedded and Real-Time Communication Systems

International Journal of Embedded and Real-Time Communication Systems Volume 10, Issue 2

Apr 2019

134 pages

ISSN:1947-3176

EISSN:1947-3184

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Copyright © 2019.

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IGI Global

United States

Publication History

Published: 01 April 2019

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Cited By

Huang CChou T(2023)Examining the Dilemma Between Artificial Intelligence Techniques and Professional Medical Service: A Hybrid Balancing PerspectiveIT Professional10.1109/MITP.2023.324656025:2(36-40)Online publication date: 1-Mar-2023
https://dl.acm.org/doi/10.1109/MITP.2023.3246560
Tianxing MZhukova NJiafeng YLebedev S(2022)An Architecture of the Semantic Meta Mining Assistant for Adaptive Domain-Oriented Data ProcessingInternational Journal of Embedded and Real-Time Communication Systems10.4018/IJERTCS.30211113:1(1-38)Online publication date: 29-Jun-2022
https://dl.acm.org/doi/10.4018/IJERTCS.302111
Shahzad SAhmed DNaqvi MMushtaq MIqbal MMunir F(2021)Ontology Driven Smart Health Service IntegrationComputer Methods and Programs in Biomedicine10.1016/j.cmpb.2021.106146207:COnline publication date: 1-Aug-2021
https://dl.acm.org/doi/10.1016/j.cmpb.2021.106146
Malekian Borujeni AFathy MMozayani N(2019)A hierarchical, scalable architecture for a real-time monitoring system for an electrocardiography, using context-aware computingJournal of Biomedical Informatics10.1016/j.jbi.2019.10325196:COnline publication date: 1-Aug-2019
https://dl.acm.org/doi/10.1016/j.jbi.2019.103251

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