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Author

R. Paul

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#graph neural networks Open access Oct 2026

Evaluating Depth-Based Human Pose Estimation in Real-World Nursing Home Environments

Human pose estimation in real-world indoor environments remains challenging due to privacy concerns, occlusions, varying numbers of people, and noisy sensor data. In this work, we investigate pose estimation from depth images captured over an extended period in a nursing home setting. We explore multiple input represen...

Rinu Elizabeth Paul, Tanja Schultz · 0 citations
Open access Aug 2026

Understanding Human Motion from Depth Sensors: Activity Recognition and Age Group Recognition Using Skeleton Data

This study provides a comprehensive analysis of various HAR models applied to depth data, examining model performance and the contribution of joint-based features to HAR and AGR, and introduces an AGR pipeline to distinguish younger from older adults based on skeletal motion patterns.

Rinu Elizabeth Paul, Alp Göktug Tanman, Yale Hartmann et al. · 0 citations

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