Cybernetics of the Mind: Learning Individual's Perceptions Autonomously

Angelov, Plamen, Gu, Xiaowei, Iglesias, Jose A., Ledezma, Agapito, Sanchis, Araceli, Sipele, Oscar, Ramezani, Ramin (2017) Cybernetics of the Mind: Learning Individual's Perceptions Autonomously. IEEE Systems, Man, and Cybernetics Magazine, 3 (2). pp. 6-17. ISSN 2380-1298. E-ISSN 2333-942X. (doi:10.1109/MSMC.2017.2664478) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:90134)

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Official URL: https://doi.org/10.1109/MSMC.2017.2664478

Abstract

In this article, we describe an approach to computational modeling and autonomous learning of the perception of sensory inputs by individuals. A hierarchical process of summarization of heterogeneous raw data is proposed. At the lower level of the hierarchy, the raw data autonomously form semantically meaningful concepts. Instead of clustering based on visual or audio similarity, the concepts are formed at the second level of the hierarchy based on observed physiological variables (PVs) such as heart rate and skin conductance and are mapped to the emotional state of the individual. Wearable sensors were used in the experiments

Item Type:	Article
DOI/Identification number:	10.1109/MSMC.2017.2664478
Uncontrolled keywords:	Visualization; Cybernetics; Computational modeling; Decision making; Data models; Heart rate
Subjects:	Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science
Divisions:	Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User:	Amy Boaler
Date Deposited:	10 Sep 2021 11:33 UTC
Last Modified:	04 Mar 2024 19:18 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/90134 (The current URI for this page, for reference purposes)

University of Kent Author Information

Gu, Xiaowei.

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