Dataset for "Deep learning based robot cognitive architecture for collaborative assembly tasks"

Dataset used for training action recognition method and task status prediction method for use in human-robot collaborative assembly scenario. Inertial measurement unit and skeleton tracking data included while users perform assembly tasks and gestures. Dataset has two parts; 1) human action recognition where sensor data is recorded along with ground truth of action being performed at that time 2) task status prediction where sensor data is recorded along with how long until each action in the task is completed.

Keywords:

Human action recognition Task status prediction Human robot collaboration

Subjects:

Electrical engineering

Robotics and Autonomy

Cite this dataset as:
Male, J., Martinez Hernandez, U., 2023. Dataset for "Deep learning based robot cognitive architecture for collaborative assembly tasks". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-01161.

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Data

har_training_data.zip
application/zip (140MB)
Creative Commons: Attribution 4.0

Data files for use in training human action recognition methods in manufacturing style tasks. IMU and skeleton tracking data recorded with ground truth labels. Actions are screwdriver, Allen key, hand screw, hammer and various gestures.

status_prediction … data.zip
application/zip (59MB)
Creative Commons: Attribution 4.0

Data files for use in developing methods to predict the status of each user action in an assembly task. IMU and skeleton tracking data recorded along with ground truth data on how long until each action in a task is complete and whether the action has started and finished.