MIAM, a multimodal dataset of 22 sessions of untrimmed industrial assembly and disassembly with RGB, depth, and IMU data, is released together with a fusion model that reports 86.79% accuracy on binary engagement prediction.
A 3d-cnns approach to classify users’ emotion through eeg-based topographical maps in hri,
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A Multimodal Dataset for Enhancing Industrial Task Monitoring and Engagement Prediction
MIAM, a multimodal dataset of 22 sessions of untrimmed industrial assembly and disassembly with RGB, depth, and IMU data, is released together with a fusion model that reports 86.79% accuracy on binary engagement prediction.