Cybernetics of the Mind: Learning Individual's Perceptions Autonomously Articles uri icon

publication date

  • April 2017

start page

  • 6

end page

  • 17

issue

  • 2

volume

  • 3

International Standard Serial Number (ISSN)

  • 2333-942X

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

subjects

  • Computer Science

keywords

  • computational modelling; autonomous learning; human perception; empirical data analytics (eda); anya type fuzzy rule