ArticleSensors (Basel, Switzerland)2021
sEMG-Based Hand Posture Recognition Considering Electrode Shift, Feature Vectors, and Posture Groups.
Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
4 citing papers in PubMed.
- Artificial neural networks for HD-sEMG-based hand position estimation: addressing inter- and intra-subject variability.Journal of neuroengineering and rehabilitation · 2026Article
- Robust gesture recognition based on attention-deep fast convolutional neural network and surface electromyographic signals.Frontiers in neuroscience · 2024Article
- On the Applications of EMG Sensors and Signals.Sensors (Basel, Switzerland) · 2022Article
- sEMG-Based Hand Posture Recognition and Visual Feedback Training for the Forearm Amputee.Sensors (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Surface electromyography (sEMG)-based gesture recognition systems provide the intuitive and accurate recognition of various gestures in human-computer interaction. In this study, an sEMG-based hand posture recognition algorithm was developed, considering three main problems: electrode shift, feature vectors, and posture groups. The sEMG signal was measured using an armband sensor with the electrode shift. An artificial neural network classifier was trained using 21 feature vectors for seven different posture groups. The inter-session and inter-feature Pearson correlation coefficients (PCCs) were calculated. The results indicate that the classification performance improved with the number of training sessions of the electrode shift. The number of sessions necessary for efficient training was four, and the feature vectors with a high inter-session PCC (
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Registered trials
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