Machine Learning for Ergonomic Workload Assessments: Handled Load Estimation Based on Kinematic Data - A Case Study
The article "Machine Learning for Ergonomic Workload Assessments: Handled Load Estimation Based on Kinematic Data - A Case Study" is a chapter of the conference proceedings "Advances in Digital Human Modeling II. Proceedings of the 9th International Digital Human Modeling Symposium, DHM 2025" and can be downloaded on the publisher's website. (charges may apply)
Bibliographic information
Title: Machine Learning for Ergonomic Workload Assessments: Handled Load Estimation Based on Kinematic Data - A Case Study.
in: Advances in Digital Human Modeling II. Proceedings of the 9th International Digital Human Modeling Symposium, DHM 2025 / R. Marshall, S. Summerskill, G. Harih, S. Scataglini (Eds.) Cham: Springer, 2025. pages: 11-18, DOI: 10.1007/978-3-032-00839-8_2