AI RESEARCH
Skeleton-Based Posture Classification to Promote Safer Walker-Assisted Gait in Older Adults
arXiv CS.LG
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ArXi:2605.00890v1 Announce Type: cross Falls among older adults are a significant public health concern, leading to severe injuries, loss of independence, and increased healthcare costs. This study evaluates the effectiveness of various models, including a Geometric approach, XGBoost, SVM, and several deep learning architectures, in classifying walker usage, standing vs. sitting, and posture for smart walkers used. Geometric and XGBoost were the top performers. XGBoost achieved near-perfect.