Georgios Sopidis, Bernhard Anzengruber, and Markus Laube published project research results from AREA 1 – Perception and Aware Systems, at The 15th ACM International Conference on Pervasive Technologies Related to Assistive Environments – PETRA 2022.
Georgios’ article presents an assistant system for a manual industrial assembly process fully based on wearable sensors and identifying patterns of short in range and motion activities of hands (micro-activities). The performance of deep learning architectures is compared in the detection of screwing activities using different tools. The classification performance for our experiments is documented and in the final step, a recognition of 91.19% is achieved, using a CNN.
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Bernhard’s paper investigates which are the quantifiably best data sources, pre-procession steps, features, and machine learning algorithms to determine the correct execution of a specific work process in the manufacturing environment.
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Markus’ article presents an online assistance system supporting the welder through helpful information about the current welding quality to minimize costs time and effort required for a manufacturing process. Decoding and accentuating physical welding skills mathematically to an understandable data representation supporting the random forest classifier was the key task of this study.
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The paper “Determining Best Hardware, Software and Data Structures for Worker Guidance during a Complex Assembly Task” was awarded with the Best Technical Paper Award.
“Micro-activity recognition in industrial assembly process with IMU data and deep learning” was coauthored by Georgios Sopidis, Michael Haslgrübler, Behrooz Azadi, Bernhard Anzengruber-Tánase, Abdelrahman Ahmad, Alois Ferscha and Martin Baresch. https://doi.org/10.1145/3529190.3529204
“Determining Best Hardware, Software and Data Structures for Worker Guidance during a Complex Assembly Task” was coauthored by Bernhard Anzengruber-Tanase, Michael Haslgrübler, Georgios Sopidis and Alois Ferscha. https://doi.org/10.1145/3529190.3529200
“Skill Level Detection in Arc Welding towards an Assistance System for Workers” was coauthored by Markus Laube, Michael Haslgrübler, Behrooz Azadi, Bernhard Anzengruber-Tánase and Alois Ferscha. https://doi.org/10.1145/3529190.3529206
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