3 papers
cs.LG2025
Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information
Jingyi Gao, Sol Lim, Seokhyun Chung
Machine learning methods are increasingly applied to ergonomic risk assessment in manual material handling, particularly for estimating carried load from gait motion data collected…
cs.LG2025
Fairness in Machine Learning-based Hand Load Estimation: A Case Study on Load Carriage Tasks
Arafat Rahman, Sol Lim, Seokhyun Chung
Predicting external hand load from sensor data is essential for ergonomic exposure assessments, as obtaining this information typically requires direct observation or supplementary…
stat.ML2024
Federated Automatic Latent Variable Selection in Multi-output Gaussian Processes
Jingyi Gao, Seokhyun Chung
This paper explores a federated learning approach that automatically selects the number of latent processes in multi-output Gaussian processes (MGPs). The MGP has seen great succes…