mlsanityData to 14 Oct 2026

Domain Adaptation for sEMG-based Gesture Recognition with Recurrent Neural Networks

arXiv 1901.06958 ↗First posted 21 Jan 2019cs.LG cs.HC stat.MLcited by 15

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Abstract (arXiv)

Surface Electromyography (sEMG/EMG) is to record muscles' electrical activity from a restricted area of the skin by using electrodes. The sEMG-based gesture recognition is extremely sensitive of inter-session and inter-subject variances. We propose a model and a deep-learning-based domain adaptation method to approximate the domain shift for recognition accuracy enhancement. Analysis performed on sparse and HighDensity (HD) sEMG public datasets validate that our approach outperforms state-of-the-art methods.

Key facts. Cited by 15 papers in the map (data through 14 Oct 2026). First posted on arXiv 21 Jan 2019.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 3; 2022: 4; 2023: 2; 2024: 3; 2025: 1; 2026: 2.

15 papers.

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  1. 2021Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advancescited by 54
  2. 2021CALDA: Improving Multi-Source Time Series Domain Adaptation with Contrastive Adversarial Learningcited by 23
  3. 2022ViT-HGR: Vision Transformer-based Hand Gesture Recognition from High Density Surface EMG Signalscited by 6
  4. 2022Transfer Learning on Electromyography (EMG) Tasks: Approaches and Beyondcited by 5
  5. 2023Surface EMG-Based Inter-Session/Inter-Subject Gesture Recognition by Leveraging Lightweight All-ConvNet and Transfer Learningcited by 5
  6. 2021Deep Transfer-Learning for patient specific model re-calibration: Application to sEMG-Classificationcited by 3
  7. 2026Recognition and Label-Free Adaptation Across Recording Sessions in Surface-EMG Gesture Decodingcited by 2
  8. 2023Transfer: Cross Modality Knowledge Transfer using Adversarial Networks -- A Study on Gesture Recognitioncited by 1
  9. 2024Spatial Adaptation Layer: Interpretable Domain Adaptation For Biosignal Sensor Array Applicationscited by 1
  10. 2025Electromyography-Based Gesture Recognition: Hierarchical Feature Extraction for Enhanced Spatial-Temporal Dynamicscited by 1
  11. 2022GesSure- A Robust Face-Authentication enabled Dynamic Gesture Recognition GUI Applicationcited by 0
  12. 2022Transformer-based Hand Gesture Recognition via High-Density EMG Signals: From Instantaneous Recognition to Fusion of Motor Unit Spike Trainscited by 0
3 more
  1. 2024Masked Autoencoder with Swin Transformer Network for Mitigating Electrode Shift in HD-EMG-based Gesture Recognitioncited by 0
  2. 2024Robustness-enhanced Myoelectric Control with GAN-based Open-set Recognitioncited by 0
  3. 2026Personalising a Cross-User Surface Electromyography Encoder Under a Small Calibration Budgetcited by 0