Ontology-based Activity Intention Recognition via Human-in-the-loop Framework
Taejung Heo,
Seokju Hwang,
Yeseul Gong
et al.
Abstract:Human intention recognition is crucial for various human-centered settings.Existing approaches can be categorized into data-driven and knowledge-drivenmethods. While data-driven methods have shown promising performance withlarge training sets, they face challenges in data collection and limited interpretability.In contrast, knowledge-driven methods have the advantage of notrequiring training data and being interpretable, but acquiring high-qualitydomain knowledge is time-consuming and costly. To address these … Show more
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