Yuta Kyuragi
Papers
1
Total Citations
2
H-Index
1
About
Yuta Kyuragi is a researcher focused on advancing human activity recognition, particularly in the domain of Activities of Daily Living (ADLs) for assistive technologies. His key research areas include few-shot learning, interactive activity classification, and multi-person interaction analysis in home environments. Kyuragi’s major contribution is the development of the "InteractADL" benchmark and method, which addresses the critical gap in recognizing complex, multi-person ADLs—a challenge often overlooked by existing datasets and models. His work, "Few-Shot Classification of Interactive Activities of Daily Living (InteractADL)" (2024), has already garnered 2 citations, demonstrating early impact in this emerging field. By enabling few-shot classification of interactive ADLs, Kyuragi’s research paves the way for more intelligent assistive robots, smart home systems, and healthcare applications that can understand and respond to nuanced human interactions. His work is particularly notable for its focus on real-world, home-based scenarios, bridging the gap between laboratory settings and practical deployment. Kyuragi’s contributions are essential for developing context-aware systems that can support independent living and improve quality of life.
Research Focus
Key Achievements
Top Papers
- 1