Semiconductor Optoelectronics, Volume. 46, Issue 1, 157(2025)

Hand-Washing Action Detection Algorithm Based on CCL-YOLO

CHEN Changchuan1, ZHOU Xinwei1, LONG Hongyu2, GUO Zhongyuan3, and ZHU He4
Author Affiliations
  • 1School of Communications and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, CHN
  • 2School of Automation, Chongqing University of Posts and Telecommunications, Chongqing 400065, CHN
  • 3School of Electronic and Information Engineering, Southwest University, Chongqing 400715, CHN
  • 4International College, Chongqing University of Posts and Telecommunications, Chongqing 400065, CHN
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    References(20)

    [1] [1] Li H, Chawla S, Li R, et al. Wristwash: towards automatic handwashing assessment using a wristworn device[C]//Proceedings of the 2018 ACM International Symposium on Wearable Computers, 2018: 132-139.

    [2] [2] Zhang Y, Xue T, Liu Z, et al. Detecting hand washing activity among activities of daily living and classification of WHO hand washing techniques using wearable devices and machine learning algorithms[J]. Healthcare Technology Letters, 2021, 8(6): 148-159.

    [3] [3] Ivanovs M, Kadikis R, Lulla M, et al. Automated quality assessment of hand washing using deep learning[J]. arXiv preprint arXiv: 2011.11383, 2020.

    [4] [4] Sandler M, Howard A, Zhu M, et al. Mobilenetv2: Inverted residuals and linear bottlenecks[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2018: 4510-4520.

    [5] [5] Chollet F. Xception: Deep learning with depthwise separable convolutions[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017: 1251-1258.

    [6] [6] Yue Z, Wang F, Liu Z. An intelligent hand-washing monitoring platform based on gesture recognition technology[C]//2021 China Automation Congress (CAC), 2021: 940-944.

    [7] [7] Fu L, Feng Y, Wu J, et al. Fast and accurate detection of kiwifruit in orchard using improved YOLOv3-tiny model[J]. Precision Agriculture, 2021, 22: 754-776.

    [9] [9] Wang T, Xia J, Wu T, et al. Handwashing quality assessment via deep learning: A modelling study for monitoring compliance and standards in hospitals and communities[J]. Intelligent Medicine, 2022, 2(3): 152-160.

    [10] [10] Llorca D F, Parra I, So telo M , et al. A vision-based system for automatic hand washing quality assessment[J]. Machine Vision and Applications, 2011, 22(2): 219-234.

    [11] [11] Wang C Y, Bochkovskiy A, Liao H Y M. YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023: 7464-7475.

    [12] [12] Li Y, Yao T, Pan Y, et al. Contextual transformer networks for visual recognition[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022, 45(2): 1489-1500.

    [13] [13] Wang J, Chen K, Xu R, et al. Carafe: Content-aware reassembly of features[C]//Proceedings of the IEEE/CVF International Conference on Computer Vision, 2019: 3007-3016.

    [14] [14] Kaiming H, Xiangyu Z, Shaoqing R, et al. Spatial pyramid pooling in deep convolutional networks for visual recognition[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015, 37(9): 1904-1916.

    [15] [15] Glenn Jocher. YOLOv5: A state-of-the-art object detection and segmentation model[EB/OL]. (2022-11-22) [2024-8-10].

    [16] [16] Kai Y, Yu Z, Xin Z, et al. YOLOX with CBAM for insulator detection in transmission lines[J]. Multimedia Tools and Applications, 2023, 83(14): 43419-43437.

    [18] [18] Li G, Fu L, Gao C, et al. Multi-class detection of kiwifruit flower and its distribution identification in orchard based on YOLOv5l and Euclidean distance[J]. Computers and Electronics in Agriculture, 2022, 201: 107342.

    [19] [19] Li C, Li L, Jiang H, et al. YOLOv6: A single-stage object detection framework for industrial applications[J]. arXiv preprint arXiv: 2209.02976, 2022.

    [20] [20] Wang G, Chen Y, An P, et al. UAV-YOLOv8: A small-object-detection model based on improved YOLOv8 for UAV aerial photography scenarios[J]. Sensors, 2023, 23(16): 7190.

    [21] [21] Zhao Y, Lv W, Xu S, et al. Detrs beat YOLOs on real-time object detection[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024: 16965-16974.

    [22] [22] Narayana C L, Ramana K V. An efficient real-time weed detection technique using YOLOv7[J]. International Journal of Advanced Computer Science and Applications, 2023, 14(2): 550-556.

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    CHEN Changchuan, ZHOU Xinwei, LONG Hongyu, GUO Zhongyuan, ZHU He. Hand-Washing Action Detection Algorithm Based on CCL-YOLO[J]. Semiconductor Optoelectronics, 2025, 46(1): 157

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    Paper Information

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    Received: Oct. 8, 2024

    Accepted: Sep. 18, 2025

    Published Online: Sep. 18, 2025

    The Author Email:

    DOI:10.16818/j.issn1001-5868.20241008002

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