Estimation of Grasp States in Prosthetic Hands using Deep Learning
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Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9193853/9201909/09202479.pdf?arnumber=9202479
Cited by 5 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. Advancements in Prosthetic Hand Control: An IoT-Convolutional Neural Network Fusion for Gesture Recognition;2023 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON);2023-12-29
2. Research on Robot Grasping Based on Deep Learning for Real-Life Scenarios;Micromachines;2023-07-08
3. State of the Art Methods of Machine Learning for Prosthetic Hand Development: A Review;Lecture Notes in Electrical Engineering;2023
4. A Study of Fairness Functionals for Smooth Path Planning in Mobile Robots;2021 IEEE 17th International Conference on Automation Science and Engineering (CASE);2021-08-23
5. Learning Motion Planning Functions using a Linear Transition in the C-space: Networks and Kernels;2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC);2021-07
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