Skill Level Detection in Arc Welding towards an Assistance System for Workers

Author:

Laube Markus1,Haslgrübler Michael1,Azadi Behrooz1,Anzengruber-Tánase Bernhard1,Ferscha Alois2

Affiliation:

1. Pro2Future GmbH, Austria

2. JKU, Austria

Publisher

ACM

Reference21 articles.

1. Machine learning distinguishes neurosurgical skill levels in a virtual reality tumor resection task

2. Winkler-Schwartz , A. , Yilmaz , R. , Mirchi , N. , Bissonnette , V. , Ledwos , N. , Siyar , S. , ... & Del Maestro , R. ( 2019 ). Machine learning identification of surgical and operative factors associated with surgical expertise in virtual reality simulation. JAMA network open, 2(8), e198363-e198363 Winkler-Schwartz, A., Yilmaz, R., Mirchi, N., Bissonnette, V., Ledwos, N., Siyar, S., ... & Del Maestro, R. (2019). Machine learning identification of surgical and operative factors associated with surgical expertise in virtual reality simulation. JAMA network open, 2(8), e198363-e198363

3. Fard , M. J. , Ameri , S. , Chinnam , R. B. , Pandya , A. K. , Klein , M. D. , & Ellis , R. D. ( 2016 ). Machine learning approach for skill evaluation in robotic-assisted surgery. arXiv preprint arXiv:1611.05136 Fard, M. J., Ameri, S., Chinnam, R. B., Pandya, A. K., Klein, M. D., & Ellis, R. D. (2016). Machine learning approach for skill evaluation in robotic-assisted surgery. arXiv preprint arXiv:1611.05136

4. Driving skill classification in curve driving scenes using machine learning

5. Evaluation of welding skill using probability density distributions and neural network analysis

Cited by 2 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

1. Robust Feature Representation Using Multi-Task Learning for Human Activity Recognition;Sensors;2024-01-21

2. Analyzing Arc Welding Techniques improves Skill Level Assessment in Industrial Manufacturing Processes;Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments;2023-07-05

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3