A four-modality deep learning system that fuses IMU signal images and video streams reaches 97.2% leave-one-out and 100% half-half accuracy on six worker assembly activities.
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Multi-Modal Recognition of Worker Activity for Human-Centered Intelligent Manufacturing
A four-modality deep learning system that fuses IMU signal images and video streams reaches 97.2% leave-one-out and 100% half-half accuracy on six worker assembly activities.