This technology relates to a system and method for recognizing elderly living patterns. Specifically, it is an elderly living pattern recognition technology using ontology and behavioral intention inference.
Existing technologies needed to overcome the limitations of analytical tools used to measure living patterns and recognize behavioral intentions in elderly residential spaces. To address this, this technology proposes a configuration that includes a system for elderly living patterns, comprising an intention inference module, a living pattern learning module, and a living pattern display module.
Accordingly, this technology can improve the recognition of living patterns and behaviors by using sensory information based on the daily activities of the elderly. It has value for utilization in the healthcare, pharmaceutical, software, and household goods sectors.
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