Cybernetics of the mind:learning individual's perceptions autonomously

Angelov, Plamen Parvanov and Gu, Xiaowei and Iglesias, Jose and Ledezma, Agapito and Sanchis, Araceli and Sipele, Oscar and Ramezani, Ramin (2017) Cybernetics of the mind:learning individual's perceptions autonomously. IEEE Systems, Man, and Cybernetics Magazine, 3 (2). pp. 6-17.

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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:
Journal Article
Journal or Publication Title:
IEEE Systems, Man, and Cybernetics Magazine
Additional Information:
©2017 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1700/1705
Subjects:
ID Code:
85801
Deposited By:
Deposited On:
03 Apr 2017 15:06
Refereed?:
Yes
Published?:
Published
Last Modified:
01 Oct 2020 01:57