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检索条件"主题词=Muscle-Computer Interface"
20 条 记 录,以下是1-10 订阅
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Myoelectric Pattern Recognition Using Gramian Angular Field and Convolutional Neural Networks for muscle-computer interface
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SENSORS 2023年 第5期23卷 2715-2715页
作者: Fan, Junjun Wen, Jiajun Lai, Zhihui Shenzhen Univ Coll Comp Sci & Software Engn Shenzhen 518060 Peoples R China Shenzhen Univ Guangdong Key Lab Intelligent Informat Proc Shenzhen 518060 Peoples R China Shenzhen Univ Guangdong Lab Artificial Intelligence & Cyber Econ Shenzhen 518060 Peoples R China
In the field of the muscle-computer interface, the most challenging task is extracting patterns from complex surface electromyography (sEMG) signals to improve the performance of myoelectric pattern recognition. To ad... 详细信息
来源: 评论
CApG-Myo: A muscle-computer interface supporting user-defined gesture recognition  21
CApG-Myo: A muscle-computer interface supporting user-define...
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9th International Conference on computer and Communications Management, ICCCM 2021
作者: Dai, Qingfeng Li, Xiangdong Geng, Weidong Jin, Wenguang Liang, Xiubo Zhejiang University China
The recent progress in sEMG-based hand gesture detection has developed a set of predefined hand gestures for interaction. However, customized hand gestures are less concerned due to the lack of supporting tools for tr... 详细信息
来源: 评论
Sparsity Analysis of a Sonomyographic muscle-computer interface
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IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING 2020年 第3期67卷 688-696页
作者: Akhlaghi, Nima Dhawan, Ananya Khan, Amir A. Mukherjee, Biswarup Diao, Guoqing Truong, Cecile Sikdar, Siddhartha George Mason Univ Dept Bioengn Fairfax VA 22030 USA George Mason Univ Dept Comp Sci Fairfax VA 22030 USA George Mason Univ Ctr Adapt Syst Brain Body Interact Fairfax VA 22030 USA George Mason Univ Dept Stat Fairfax VA 22030 USA
Objective: Sonomyography has been shown to be a promising method for decoding volitional motor intent from analysis of ultrasound images of the forearm musculature. The objectives of this paper are to determine the op... 详细信息
来源: 评论
A multi-stream convolutional neural network for sEMG-based gesture recognition in muscle-computer interface
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PATTERN RECOGNITION LETTERS 2019年 第Mar.期119卷 131-138页
作者: Wei, Wentao Wong, Yongkang Du, Yu Hu, Yu Kankanhalli, Mohan Geng, Weidong Zhejiang Univ Coll Comp Sci & Technol Zheda Rd 38 Hangzhou 310027 Zhejiang Peoples R China Natl Univ Singapore Smart Syst Inst 21 Heng Mui Keng Terrace Singapore 119613 Singapore Natl Univ Singapore Sch Comp 13 Comp Dr Singapore 117417 Singapore
In muscle-computer interface (MCI), deep learning is a promising technology to build-up classifiers for recognizing gestures from surface electromyography (sEMG) signals. Motivated by the observation that a small grou... 详细信息
来源: 评论
Improving Unimodal sEMG-Based Pattern Recognition Through Multimodal Generative Adversarial Learning
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IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 2025年 74卷
作者: Wei, Wentao Ren, Linyan Zhou, Ming Ma, Zhaoyi Zhao, Kexin Xu, Xun Nanjing Univ Sci & Technol Sch Design Arts & Media Dept Ind Design Nanjing 210094 Peoples R China
Surface electromyography (sEMG)-based pattern recognition system is a kind of instrumentation and measurement system that captures, processes, and recognizes bioelectrical signals, like other pattern recognition syste... 详细信息
来源: 评论
Electromyography-Based Gesture Recognition: Is It Time to Change Focus From the Forearm to the Wrist?
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IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS 2022年 第1期18卷 174-184页
作者: Botros, Fady S. Phinyomark, Angkoon Scheme, Erik J. Univ New Brunswick Dept Elect & Comp Engn Fredericton NB E3B 5A3 Canada Univ New Brunswick Inst Biomed Engn Fredericton NB E3B 5A3 Canada
Despite a historical focus on prosthetics, the incorporation of electromyography (EMG) sensors into less obtrusive wearable designs has recently gained attention as a potential human-computer interaction scheme for ge... 详细信息
来源: 评论
Analysis and Considerations of the Controllability of EMG-Based Force Input
Analysis and Considerations of the Controllability of EMG-Ba...
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Human-computer Interaction Thematic Area Conference (HCI) Held as Part of the 25th International Conference on Human-computer Interaction (HCII)
作者: Nozaki, Hayato Kataoka, Yuta Cruz, Christian Arzate Shibata, Fumihisa Kimura, Asako Ritsumeikan Univ Grad Sch Informat Sci & Engn Kusatsu Shiga Japan Ritsumeikan Univ Global Innovat Res Org Ibaraki Osaka Japan Ritsumeikan Univ Coll Informat Sci & Engn Kusatsu Shiga Japan
Using electromyography (EMG) measurements for user interfaces (UIs) is widely employed as an interaction method. Some advantages of using EMG-based input are that it does not require a physical controller and can be o... 详细信息
来源: 评论
Acoustic Nonlinearity Parameter Estimation for Exoskeleton Control
IEEE TRANSACTIONS ON MEDICAL ROBOTICS AND BIONICS
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IEEE TRANSACTIONS ON MEDICAL ROBOTICS AND BIONICS 2021年 第4期3卷 1002-1010页
作者: Yan, Jipeng Yang, Xingchen Zeng, Jia Liu, Honghai Shanghai Jiao Tong Univ Sch Mech Engn State Key Lab Mech Syst & Vibrat Shanghai 200240 Peoples R China Harbin Inst Technol Sch Mech Engn & Automat State Key Lab Robot & Syst Shenzhen 518052 Peoples R China Univ Portsmouth Sch Comp Portsmouth PO1 3HE Hants England
The acoustic nonlinearity parameter of skeletal muscles changes with their contractions and has the potential to be utilized for exoskeleton control. In our previous work, a system comprising a wearable ultrasound pro... 详细信息
来源: 评论
All-ConvNet: A Lightweight All CNN for Neuromuscular Activity Recognition Using Instantaneous High-Density Surface EMG Images
All-ConvNet: A Lightweight All CNN for Neuromuscular Activit...
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2020 International Instrumentation and Measurement Technology Conference
作者: Islam, Md Rabiul Massicotte, Daniel Zhu, Wei-Ping Univ Quebec Trois Rivieres Dept Elect & Comp Engn Trois Rivieres PQ Canada Concordia Univ Dept Elect & Comp Engn Montreal PQ Canada
Neuromuscular activity recognition using low-resolution instantaneous high-density surface electromyography (HD-sEMG) images present a great challenge. The recent result shows the high potentiality and hence opens up ... 详细信息
来源: 评论
S-CONVNET: A SHALLOW CONVOLUTIONAL NEURAL NETWORK ARCHITECTURE FOR NEUROMUSCULAR ACTIVITY RECOGNITION USING INSTANTANEOUS HIGH-DENSITY SURFACE EMG IMAGES  42
S-CONVNET: A SHALLOW CONVOLUTIONAL NEURAL NETWORK ARCHITECTU...
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42nd Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC)
作者: Islam, Md. Rabiul Massicotte, Daniel Nougarou, Francois Massicotte, Philippe Zhu, Wei-Ping Univ Quebec Trois Rivieres Dept Elect & Comp Engn Trois Rivieres PQ Canada Concordia Univ Dept Elect & Comp Engn Montreal PQ Canada
The recent progress in recognizing low-resolution instantaneous high-density surface electromyography (HD-sEMG) images opens up new avenues for the development of more fluid and natural muscle-computer interfaces. How... 详细信息
来源: 评论