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- W4229451392 abstract "Abstract Emotions are an essential part of a person’s mental state and influence her/his behavior accordingly. Consequently, emotion recognition and assessment can play an important role in supporting people with ambient assistance systems or clinical treatments. Automation of human emotion recognition and emotion-aware recommender systems are therefore increasingly being researched. In this paper, we first consider the essential aspects of human emotional functioning from the perspective of cognitive psychology and, based on this, we analyze the state of the art in the whole field of work and research to which automated emotion recognition belongs. In this way, we want to complement the already published surveys, which usually refer to only one aspect, with an overall overview of the languages ontologies, datasets, and systems/interfaces to be found in this area. We briefly introduce each of these subsections and discuss related approaches regarding methodology, technology, and publicly accessible artefacts. This comes with an update to recent findings that could not yet be taken into account in previous surveys. The paper is based on an extensive literature search and analysis, in which we also made a particular effort to locate relevant surveys and reviews. The paper closes with a summary of the results and an outlook on open research questions." @default.
- W4229451392 created "2022-05-11" @default.
- W4229451392 creator A5025433575 @default.
- W4229451392 creator A5066717558 @default.
- W4229451392 creator A5073646721 @default.
- W4229451392 date "2022-05-10" @default.
- W4229451392 modified "2023-09-26" @default.
- W4229451392 title "Human Emotion: A Survey focusing on Languages, Ontologies, Datasets, and Systems" @default.
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