main webpage W Topic Deep South arXiv (Cornell University) Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information 2025 Machine learning methods are increasingly applied to ergonomic risk assessment in manual material handling, particularly for estimating carried load from gait motion data collected from wearable sensors. However, existing approaches often rely on direct mappi… Article Open Deep South Open Article Page

Deep South

Cultural region of the United States The Deep South or the Lower South is a cultural and geographic subregion of the Southern United States. The term was first used to describe the states which were most economically dependent on plantations and slavery. After the American Civil War ended in 1865, the region suffered economic hardship and was a major site of racial tension during and after the Reconstruction era. Before 1945, the Deep South was often referred to as the "Cotton States" since cotton was the primary cash crop for economic production. The civil rights movement in the 1950s and 1960s helped usher in a new era, sometimes referred to as the New South. … Critical Symbolic Virtual Narrative Open Deep South Open Article Page

Exploring foci of: arXiv (Cornell University) Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information 2025 Machine learning methods are increasingly applied to ergonomic risk assessment in manual material handling, particularly for estimating carried load from gait motion data collected from wearable sensors. However, existing approaches often rely on direct mappings from loaded gait to hand load, limiting generalization and predictive accuracy. In this study, we propose an enhanced load estimation framework that incorporates auxiliary information, including baseline gait patterns during unloaded walking and carrying s… Open Article Page

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Explore Deep South W Topic Deep South arXiv (Cornell University) Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information 2025 Machine learning methods are increasingly applied to ergonomic risk assessment in manual material handling, particularly for estimating carried load from gait motion data collected from wearable sensors. However, existing approaches often rely on direct mappi… Article Critical Symbolic Virtual Narrative Open Deep South Open Article Page