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Authors: Zhenhui Chen 1 ; Haiyang Hu 1 ; Zhongjin Li 1 ; Xingchen Qi 1 ; Haiping Zhang 1 ; Hua Hu 2 and Victor Chang 3

Affiliations: 1 School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China ; 2 School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China, School of Information Science and Engineering, Hangzhou Normal University, Hangzhou, China ; 3 School of Computing & Digital Technologies, Teesside University, Middlesbrough, U.K.

Keyword(s): Skeleton-based Action Recognition, Image Classification, Industrial Packing Process.

Abstract: The applications of action recognition in real-world scenarios are challenging. Although state-of-the-art methods have demonstrated good performance on large scale datasets, we still face complex practical problems and inappropriate models. In this work, we propose a novel local image directed graph neural network (LI-DGNN) to solve a real-world production scenario problem which is the completeness identification of accessories during the range hood packing process in a kitchen appliance manufacturing workshop. LI-DGNN integrates skeleton-based action recognition and local image classification to make good use of both human skeleton data and appearance information for action recognition. The experimental results demonstrate the high recognition accuracy and good generalization ability on the range hood packing dataset (RHPD) which is generated in the industrial packing process. The results can meet the recognition requirements in the actual industrial production process.

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Paper citation in several formats:
Chen, Z.; Hu, H.; Li, Z.; Qi, X.; Zhang, H.; Hu, H. and Chang, V. (2020). Skeleton-based Action Recognition for Industrial Packing Process. In Proceedings of the 5th International Conference on Internet of Things, Big Data and Security - IoTBDS; ISBN 978-989-758-426-8; ISSN 2184-4976, SciTePress, pages 36-45. DOI: 10.5220/0009340800360045

@conference{iotbds20,
author={Zhenhui Chen. and Haiyang Hu. and Zhongjin Li. and Xingchen Qi. and Haiping Zhang. and Hua Hu. and Victor Chang.},
title={Skeleton-based Action Recognition for Industrial Packing Process},
booktitle={Proceedings of the 5th International Conference on Internet of Things, Big Data and Security - IoTBDS},
year={2020},
pages={36-45},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009340800360045},
isbn={978-989-758-426-8},
issn={2184-4976},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Internet of Things, Big Data and Security - IoTBDS
TI - Skeleton-based Action Recognition for Industrial Packing Process
SN - 978-989-758-426-8
IS - 2184-4976
AU - Chen, Z.
AU - Hu, H.
AU - Li, Z.
AU - Qi, X.
AU - Zhang, H.
AU - Hu, H.
AU - Chang, V.
PY - 2020
SP - 36
EP - 45
DO - 10.5220/0009340800360045
PB - SciTePress

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