Location
NTNU Verkstedteknisk, Room VE24
Start Date
25-6-2025 1:30 PM
Keywords
Human Action Recognition (HAR), Manual Material Handling (MMH), Machine Learning, Recurrent Neural Networks (RNN), Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), Principal Component Analysis (PCA), Motion Capture, Skeleton-Based Action Recognition, Deep Learning, Human Factors Engineering
Type of Submission
Modeling manuscript
Creative Commons License

This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Included in
Advancements in Human Action Recognition in Manual Material Handling using Machine Learning
NTNU Verkstedteknisk, Room VE24