181 related articles for article (PubMed ID: 32709164)
1. A Novel Surface Electromyographic Signal-Based Hand Gesture Prediction Using a Recurrent Neural Network.
Zhang Z; He C; Yang K
Sensors (Basel); 2020 Jul; 20(14):. PubMed ID: 32709164
[TBL] [Abstract][Full Text] [Related]
2. Dual Stream Long Short-Term Memory Feature Fusion Classifier for Surface Electromyography Gesture Recognition.
Zhang K; Badesa FJ; Liu Y; Ferre PĂ©rez M
Sensors (Basel); 2024 Jun; 24(11):. PubMed ID: 38894423
[TBL] [Abstract][Full Text] [Related]
3. Inferring Static Hand Poses from a Low-Cost Non-Intrusive sEMG Sensor.
Nasri N; Orts-Escolano S; Gomez-Donoso F; Cazorla M
Sensors (Basel); 2019 Jan; 19(2):. PubMed ID: 30658480
[TBL] [Abstract][Full Text] [Related]
4. Multi-Category Gesture Recognition Modeling Based on sEMG and IMU Signals.
Jiang Y; Song L; Zhang J; Song Y; Yan M
Sensors (Basel); 2022 Aug; 22(15):. PubMed ID: 35957417
[TBL] [Abstract][Full Text] [Related]
5. Real-Time Surface EMG Pattern Recognition for Hand Gestures Based on an Artificial Neural Network.
Zhang Z; Yang K; Qian J; Zhang L
Sensors (Basel); 2019 Jul; 19(14):. PubMed ID: 31323888
[TBL] [Abstract][Full Text] [Related]
6. Transformer-based hand gesture recognition from instantaneous to fused neural decomposition of high-density EMG signals.
Montazerin M; Rahimian E; Naderkhani F; Atashzar SF; Yanushkevich S; Mohammadi A
Sci Rep; 2023 Jul; 13(1):11000. PubMed ID: 37419881
[TBL] [Abstract][Full Text] [Related]
7. sEMG-Based Neural Network Prediction Model Selection of Gesture Fatigue and Dataset Optimization.
Ma F; Song F; Liu Y; Niu J
Comput Intell Neurosci; 2020; 2020():8853314. PubMed ID: 33224188
[TBL] [Abstract][Full Text] [Related]
8. MSFF-Net: Multi-Stream Feature Fusion Network for surface electromyography gesture recognition.
Peng X; Zhou X; Zhu H; Ke Z; Pan C
PLoS One; 2022; 17(11):e0276436. PubMed ID: 36342906
[TBL] [Abstract][Full Text] [Related]
9. Surface EMG-Based Instantaneous Hand Gesture Recognition Using Convolutional Neural Network with the Transfer Learning Method.
Yu Z; Zhao J; Wang Y; He L; Wang S
Sensors (Basel); 2021 Apr; 21(7):. PubMed ID: 33916379
[TBL] [Abstract][Full Text] [Related]
10. Hand Gesture Recognition Using Compact CNN Via Surface Electromyography Signals.
Chen L; Fu J; Wu Y; Li H; Zheng B
Sensors (Basel); 2020 Jan; 20(3):. PubMed ID: 31991849
[TBL] [Abstract][Full Text] [Related]
11. Multi-Stream Convolutional Neural Network-Based Wearable, Flexible Bionic Gesture Surface Muscle Feature Extraction and Recognition.
Liu W; Lu B
Front Bioeng Biotechnol; 2022; 10():833793. PubMed ID: 35310001
[TBL] [Abstract][Full Text] [Related]
12. A Novel EMG-Based Hand Gesture Recognition Framework Based on Multivariate Variational Mode Decomposition.
Yang K; Xu M; Yang X; Yang R; Chen Y
Sensors (Basel); 2021 Oct; 21(21):. PubMed ID: 34770309
[TBL] [Abstract][Full Text] [Related]
13. Gesture recognition by instantaneous surface EMG images.
Geng W; Du Y; Jin W; Wei W; Hu Y; Li J
Sci Rep; 2016 Nov; 6():36571. PubMed ID: 27845347
[TBL] [Abstract][Full Text] [Related]
14. High-Performance Surface Electromyography Armband Design for Gesture Recognition.
Zhang R; Hong Y; Zhang H; Dang L; Li Y
Sensors (Basel); 2023 May; 23(10):. PubMed ID: 37430853
[TBL] [Abstract][Full Text] [Related]
15. sEMG-Based Hand Gesture Recognition Using Binarized Neural Network.
Kang S; Kim H; Park C; Sim Y; Lee S; Jung Y
Sensors (Basel); 2023 Jan; 23(3):. PubMed ID: 36772476
[TBL] [Abstract][Full Text] [Related]
16. Hand Gesture Recognition based on Surface Electromyography using Convolutional Neural Network with Transfer Learning Method.
Chen X; Li Y; Hu R; Zhang X; Chen X
IEEE J Biomed Health Inform; 2021 Apr; 25(4):1292-1304. PubMed ID: 32750962
[TBL] [Abstract][Full Text] [Related]
17. A novel hand gesture recognition method based on 2-channel sEMG.
Yu H; Fan X; Zhao L; Guo X
Technol Health Care; 2018; 26(S1):205-214. PubMed ID: 29710749
[TBL] [Abstract][Full Text] [Related]
18. Hand gesture recognition with deep residual network using Semg signal.
Khattak AS; Zain ABM; Hassan RB; Nazar F; Haris M; Ahmed BA
Biomed Tech (Berl); 2024 Jun; 69(3):275-291. PubMed ID: 38456275
[TBL] [Abstract][Full Text] [Related]
19. A Machine Learning Processing Pipeline for Reliable Hand Gesture Classification of FMG Signals with Stochastic Variance.
Asfour M; Menon C; Jiang X
Sensors (Basel); 2021 Feb; 21(4):. PubMed ID: 33671525
[TBL] [Abstract][Full Text] [Related]
20. Study on Gesture Recognition Method with Two-Stream Residual Network Fusing sEMG Signals and Acceleration Signals.
Hu Z; Wang S; Ou C; Ge A; Li X
Sensors (Basel); 2024 Apr; 24(9):. PubMed ID: 38732808
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]