Decoding Electromyographic Signal With Multiple Labels for Hand Gesture Recognition-Reference-Cited by-同舟云学术

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Decoding Electromyographic Signal With Multiple Labels for Hand Gesture Recognition

Published:2023 Issue: Volume:30 Page:483-487
ISSN:1070-9908
Container-title:IEEE Signal Processing Letters
language:
Short-container-title:IEEE Signal Process. Lett.

Author:

Zou Yongxiang¹^ORCID,Cheng Long¹^ORCID,Han Lijun¹,Li Zhengwei²^ORCID,Song Luping³^ORCID

Affiliation:

1. School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China

2. State Key Laboratory of Management and Control for Complex Systems and Institute of Automation, Chinese Academy of Sciences, Beijing, China

3. Shenzhen Sixth People's Hospital (Nanshan Hospital), Huazhong University of Science and Technology Union Shenzhen, Shenzhen, China

Funder

National Key Research and Development Program of China

CAS Project for Young Scientists in Basic Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/97/10036333/10093127.pdf?arnumber=10093127

Reference19 articles.

1. EEG-based Emotion Recognition Using Multiple Kernel Learning

2. Image De-occlusion via Event-enhanced Multi-modal Fusion Hybrid Network

3. Dynamic Hand Gesture Recognition Based on a Leap Motion Controller and Two-Layer Bidirectional Recurrent Neural Network

4. Hand Gesture Recognition based on Surface Electromyography using Convolutional Neural Network with Transfer Learning Method

5. Object manipulation and deformation using hand gestures

Cited by 7 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. Method for enhanced gesture recognition under low light conditions based on wearable mechanoluminescence sensors;Measurement;2024-09

3. Decoding Silent Reading EEG Signals Using Adaptive Feature Graph Convolutional Network;IEEE Signal Processing Letters;2024

4. Surface EMG-Based Intersession/Intersubject Gesture Recognition by Leveraging Lightweight All-ConvNet and Transfer Learning;IEEE Transactions on Instrumentation and Measurement;2024

5. A Novel Surface Electromyographic Gesture Recognition Using Discrete Cosine Transform-Based Attention Network;IEEE Signal Processing Letters;2024

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