دورية أكاديمية
Compensation Method for Missing and Misidentified Skeletons in Nursing Care Action Assessment by Improving Spatial Temporal Graph Convolutional Networks
| العنوان: | Compensation Method for Missing and Misidentified Skeletons in Nursing Care Action Assessment by Improving Spatial Temporal Graph Convolutional Networks |
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| المؤلفون: | Xin Han, Norihiro Nishida, Minoru Morita, Takashi Sakai, Zhongwei Jiang |
| المصدر: | Bioengineering, Vol 11, Iss 2, p 127 (2024) |
| بيانات النشر: | MDPI AG, 2024. |
| سنة النشر: | 2024 |
| المجموعة: | LCC:Technology LCC:Biology (General) |
| مصطلحات موضوعية: | work-related musculoskeletal disorders, ergonomic posture risk assessment, REBA, skeleton compensation, ST-GCN, Technology, Biology (General), QH301-705.5 |
| الوصف: | With the increasing aging population, nursing care providers have been facing a substantial risk of work-related musculoskeletal disorders (WMSDs). Visual-based pose estimation methods, like OpenPose, are commonly used for ergonomic posture risk assessment. However, these methods face difficulty when identifying overlapping and interactive nursing tasks, resulting in missing and misidentified skeletons. To address this, we propose a skeleton compensation method using improved spatial temporal graph convolutional networks (ST-GCN), which integrates kinematic chain and action features to assess skeleton integrity and compensate for it. The results verified the effectiveness of our approach in optimizing skeletal loss and misidentification in nursing care tasks, leading to improved accuracy in calculating both skeleton joint angles and REBA scores. Moreover, comparative analysis against other skeleton compensation methods demonstrated the superior performance of our approach, achieving an 87.34% REBA accuracy score. Collectively, our method might hold promising potential for optimizing the skeleton loss and misidentification in nursing care tasks. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2306-5354 |
| Relation: | https://www.mdpi.com/2306-5354/11/2/127; https://doaj.org/toc/2306-5354 |
| DOI: | 10.3390/bioengineering11020127 |
| URL الوصول: | https://doaj.org/article/8e9da8d0971f4850b2d6db69bce88876 |
| رقم الأكسشن: | edsdoj.8e9da8d0971f4850b2d6db69bce88876 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 23065354 |
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| DOI: | 10.3390/bioengineering11020127 |