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nexusstc/Continuous Finger Kinematics Estimation Based on sEMG and Attention-ConvGRU Network/eb877258f713ab6ef563854fd3b1f24a.pdf
Continuous Finger Kinematics Estimation Based on sEMG and Attention-ConvGRU Network 🔍
Penghui Zhao; Chuang Lin; Jianhua Zhang; Xinyue Niu; Yanhong Liu Springer International Publishing Springer, Intelligent Robotics and Applications, 2022
英语 [en] · PDF · 2.6MB · 2022 · 🤨 其他 · nexusstc · Save
描述
sEMG is an efficient media for human-computer interactions, especially in the controlling of artificial limbs and other mechanical arms. In the paper, we propose a new Attention-ConvGRU model which can continuously estimate the finger joint angles based on sEMG when executing classical grasping motions. The experimental results show that the average correlation coefficient (CC) and the root mean square error (RMSE) of the proposed Attention-ConvGRU method are 0.8320 ± 0.04 and 8.8717 ± 0.98, respectively, which are significantly better than that of the GRU method (0.8093 ± 0.05, p < 0.01, 9.3716 ± 0.95, p < 0.01). Moreover, the training speed of Attention-ConvGRU is 4.5 times faster than that of GRU method.
备选标题
Intelligent Robotics and Applications: 15th International Conference, ICIRA 2022, Harbin, China, August 1–3, 2022, Proceedings, Part IV (Lecture Notes in Computer Science Book 13458)
备选作者
Honghai Liu; Zhouping Yin; Lianqing Liu; Li Jiang; Guoying Gu; Xinyu Wu; Weihong Ren
备选作者
Honghai Liu, (Professor of Intelligent Systems)
备选作者
ICIRA (Conference)
备选作者
Susan Mooney
备用出版商
Springer International Publishing AG
备用出版商
Springer Nature Switzerland AG
备用版本
Lecture Notes in Artificial Intelligence, 1st ed. 2022, Cham, Cham, 2022
备用版本
Lecture notes in computer science, 13455-13458, Cham, Switzerland, 2022
备用版本
Springer Nature, Cham, 2022
备用版本
Switzerland, Switzerland
元数据中的注释
{"container_title":"Intelligent Robotics and Applications","first_page":345,"issns":["0302-9743","1611-3349"],"last_page":353,"parent_isbns":["9783031138409","9783031138416"],"publisher":"Springer"}
元数据中的注释
Referenced by: doi:10.1109/tnsre.2021.3077413 doi:10.1109/tbme.2016.2538296 doi:10.12720/joace.3.4.270-276 doi:10.1016/j.bspc.2007.07.009 doi:10.1016/j.eswa.2013.02.023 doi:10.1088/1742-6596/1631/1/012150 doi:10.1109/iembs.2008.4649124 doi:10.1186/1743-0003-11-1 doi:10.1016/j.bspc.2014.08.004 doi:10.3390/app11104678 doi:10.1038/sdata.2014.53 doi:10.1088/1741-2552/abd461 doi:10.1007/978-1-4842-2766-4_12
备用描述
This two volume set LNAI 8917 and 8918 constitutes the refereed proceedings of the 7th International Conference on Intelligent Robotics and Applications, ICIRA 2014, held in Guangzhou, China, in December 2014. The 109 revised full papers presented were carefully reviewed and selected from 159 submissions. The papers aim at enhancing the sharing of individual experiences and expertise in intelligent robotics with particular emphasis on technical challenges associated with varied applications such as biomedical applications, industrial automations, surveillance, and sustainable mobility.
备用描述
The 4-volume set LNAI 13455 - 13458 constitutes the proceedings of the 15th International Conference on Intelligent Robotics and Applications, ICIRA 2022, which took place in Harbin China, during August 2022. The 284 papers included in these proceedings were carefully reviewed and selected from 442 submissions. They were organized in topical sections as follows: Robotics, Mechatronics, Applications, Robotic Machining, Medical Engineering, Soft and Hybrid Robots, Human-robot Collaboration, Machine Intelligence, and Human Robot Interaction.
备用描述
Keine Beschreibung vorhanden.
Erscheinungsdatum: 10.08.2022
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