Toward Ergonomic Risk Prediction via Segmentation of Indoor Object Manipulation Actions Using Spatiotemporal Convolutional Networks

Author:

Parsa BehnooshORCID,Samani Ekta U.,Hendrix Rose,Devine CameronORCID,Singh Shashi M.,Devasia SantoshORCID,Banerjee Ashis G.ORCID

Funder

Amazon Robotics

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Cited by 19 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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2. Action Segmentation Using 2D Skeleton Heatmaps and Multi-Modality Fusion;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

3. An attention-based adaptive spatial–temporal graph convolutional network for long-video ergonomic risk assessment;Engineering Applications of Artificial Intelligence;2024-05

4. Deployment roadmap of proactive human–robot collaboration;Proactive Human-Robot Collaboration Toward Human-Centric Smart Manufacturing;2024

5. A Vision-Based Human Digital Twin Modeling Approach for Adaptive Human–Robot Collaboration;Journal of Manufacturing Science and Engineering;2023-07-21

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