Advancing Muscle-Computer Interfaces with High-Density Electromyography-Reference-Cited by-同舟云学术

Advancing Muscle-Computer Interfaces with High-Density Electromyography

Published:2015-04-18 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems
language:
Short-container-title:

Author:

Amma Christoph¹,Krings Thomas²,Böer Jonas²,Schultz Tanja²

Affiliation:

1. Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany

2. Karlsruhe Institute of Technology, Karlsruhe, Germany

Funder

Google

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2702123.2702501

Reference23 articles.

1. Mutual information-based selection of optimal spatial–temporal patterns for single-trial EEG-based BCIs

2. Biosleeve: a natural emg-based interface forhri;Assad C.;Proc. HRI,2013

3. Characterization of a benchmark database for myoelectric movement classification. Neural Systems and Rehabilitation Engineering;Atzori M.;IEEE Transactions on PP,2014

Cited by 132 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. A survey on hand gesture recognition based on surface electromyography: Fundamentals, methods, applications, challenges and future trends;Applied Soft Computing;2024-11

2. Robust gesture recognition based on attention-deep fast convolutional neural network and surface electromyographic signals;Frontiers in Neuroscience;2024-07-10

3. Hand Gesture Recognition Based on High-Density Myoelectricity in Forearm Flexors in Humans;Sensors;2024-06-19

4. ecSkin: Low-Cost Fabrication of Epidermal Electrochemical Sensors for Detecting Biomarkers in Sweat;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11

5. Improving Electromyographic Muscle Response Times through Visual and Tactile Prior Stimulation in Virtual Reality;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11